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Senior Staff Software Engineer - Application Engineering
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About IonQ:
IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.
Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.
We are looking for a Senior Staff Software Engineer for Application Engineering. As a Sr Software Engineer on the Applications Engineer team, you’ll be part of a cross-functional team whose mission is to deliver real-world applications and value from the leap forward in computing enabled by quantum technology.
We don't just build the world's best quantum computers - we apply cutting edge quantum computing tools to real world problems. Until now, our team of Applications Scientists have been building prototypes, working closely with our customers. Our new department, Applications Engineering, will ultimately help transform proven quantum computing use-cases pioneered by our scientists into production applications, making those innovations available to more people and businesses by packaging and deploying these tools as SaaS applications.
But first, we must mature existing proof-of-concept quantum code into production grade applications. As a hands-on team lead for a new engineering team, you will work on enhancing developer experience (DevEx) by applying best practices to research-grade code. You will also set up CI / CD pipelines, software packing tools, and pre/post flight tests for new algorithms as they go into deployment. Where possible you will also be in charge of optimizing and parallelizing traditional algorithms, to reduce pre-processing and post-processing workloads. You will spearhead a new team taking newly invented quantum applications, and turning them into well defined modules of reliable SaaS applications. Think of it as being a forward-deployed engineer for quantum computing applications; the strongest candidates will be generalists with wide-ranging interests.
This team will work closely with Developer Tools, Infrastructure, and Product teams to solve problems by choosing the right technologies, and standardizing and automating those solutions. The right engineer will be comfortable working on refining chemistry simplification via Quantum Computing tool one quarter, and turning a novel quantum topology solver into a service the next - and love pair programming with scientists. They’ll bring the quantum expertise; you bring the deep and broad experience in classical programming.
Responsibilities:
- Partner with Application scientists to help deliver cutting-edge solutions for customers
- Elevate Applications code quality generally through architectural review, code review, standards, and best practices
- Improve Applications pace of delivery by creating CI / CD pipelines and other packaging automation, as well as test infrastructure and coverage
- Help productize computing code, especially improving data processing in pre-quantum and post-quantum processing steps
- Work closely with peers in Applications, Developer Tools, and Product teams to share best practices and feedback on internal tools
- Reporting to the Director of Application Engineering, help hire and mentor developers on the team
You’d be a good fit with:
- 12+ years of experience as a backend or full-stack developer, preferably in Python or Golang
- 5+ years of experience in setting up and maintaining CI / CD pipelines, in Github Actions, Jenkins, or similar tools
- 5+ years of experience in C/C++ or Rust
- 3+ years of experience in Docker, k8s, or similar containerization technologies
- A track record of shipping containerized applications that solve real business problems
- Previous work in scientific computing, quantum computing, or a related field
- Daily usage of augmented coding tools like Claude or Gemini
You’d be a great fit with:
- 5+ years of experience in scientific computing, especially with data analysis using numpy, pandas, or similar
- Experience in HPC or performance optimization
- Experience in converting traditional algorithms into CUDA, OpenMP workflows, or similar parallelization experience
- Experience with workflow orchestration engines like Airflow, Dagster, or Temporal
Location: This position can work onsite or hybrid from our office in Bothell, WA; College Park, MD; or Boulder, CO
Travel: 5% for quarterly travel for collaboration
Job ID: 1312
The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.
Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.
At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.
We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.
US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
If you are interested in being a part of our team and mission, we encourage you to apply!
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Senior Software Engineer - Applied Data
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About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
About the Role
The Ads Applied Data team builds and scales the foundational data infrastructure that powers Moloco’s advertising platform. As a Senior Software Engineer, you will design, develop, and optimize distributed data systems for real-time and batch processing, ensuring reliable and low-latency delivery of data across the ads ecosystem. You’ll work closely with Product, ML, and Data Science teams to enable feature engineering, identity resolution, and advanced user signal enrichment across online and offline pipelines.
Responsibilities
- Design and build large-scale distributed systems for data ingestion (Petabyte-scale), transformation, and serving.
- Partner with ML and Serving teams to support feature engineering workflows, connecting offline data to serving systems.
- Contribute to the evolution of Feature Infra / Feature Store, ensuring scalability, discoverability, and consistency of feature data.
- Collaborate on Identity Graph construction to unify user and device identifiers for more effective signal enrichment and targeting.
- Improve system observability, resilience, and performance in high-throughput, low-latency environments.
- Mentor engineers and help define best practices for data and backend engineering.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, or equivalent technical field.
- 5+ years of software engineering experience with one or more modern languages (Java, Kotlin, Go, C++, C#, or Python).
- Proven experience designing and building large-scale distributed systems and backend services.
- Hands-on experience with data processing frameworks such as Apache Beam, Dataflow, or Spark, and orchestration tools like Airflow.
- Strong understanding of cloud infrastructure (GCP, AWS, or Azure) and data storage technologies (BigQuery, Bigtable, Redis, GCS, Kafka, Pub/Sub).
- Demonstrated experience delivering impactful projects through collaboration with cross-functional teams (Product, ML, Data Science).
Preferred Qualifications
- Experience with Feature Infra / Feature Store architecture and operations.
- Experience in Identity Graph design and construction to enhance user signal quality.
- Deep familiarity with AdTech or Machine Learning infrastructure domains.
- Experience working with Petabyte-scale data and high-availability systems.
Compensation & Benefits
U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks. U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter. Additionally, all employees have Flexible Time Off (FTO).
The successful candidate may be eligible for a bonus and equity awards. Eligibility and amounts are determined by performance and the terms of the applicable plans.
The location for this role is listed above. For base pay range purposes, location-based compensation is grouped into the following regions. Your region is determined by your assigned work location.
- Region A: Menlo Park Office, New York Office, SF Bay Area, New York Metro Area
- Region B: Seattle Office, Seattle, Los Angeles/Orange County, San Diego, Austin, Boston, Washington DC Metro Area, Miami
- Region C: All other U.S. locations
Salary Ranges:
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Ready to apply?
Apply to Moloco
Staff Software Engineer, Ads Data Warehouse
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About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
About the Role:
We are looking for a Staff Software Engineer to join our Ads Data Warehouse team, which builds and evolves the core data infrastructure that powers all data-driven products and analytics across the company.
The Data Warehouse team is responsible for foundational systems such as data lineage, data catalog, access control, and compliance frameworks—enabling teams to securely and efficiently leverage data for decision-making, analytics, ML modeling, and Ads optimization.
As a Staff Engineer, you will define the technical vision and strategy for the Ads Data Warehouse, ensuring that our infrastructure scales to meet the growing complexity of our Ads ecosystem. You will lead architectural design, drive cross-team initiatives, and mentor engineers across teams. Your work will establish the foundation for reliable, compliant, and discoverable data across the entire company.
Responsibilities:
- Define and drive the technical roadmap and architecture, aligning the direction with product, analytics, ML, and infrastructure needs.
- Lead the design and evolution of core data systems, including data lineage, metadata management, and data catalog systems.
- Partner with cross-functional leaders to establish data governance, access control, and compliance frameworks that ensure data integrity and regulatory alignment.
- Build and scale high-reliability systems that power both real-time and batch data workflows across Ads and analytics use cases.
- Influence engineering culture by defining best practices for data modeling, observability, and developer experience.
- Drive cross-org initiatives to improve data quality, discoverability, and system adoption.
- Mentor senior engineers and help develop technical leadership across the data and infrastructure organization.
- Act as a trusted technical advisor to product and engineering leadership on strategy and scaling challenges.
Qualifications:
- Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field.
- 8+ years of experience in software engineering, with a strong focus on data infrastructure, platform systems, or distributed architectures.
- Proven experience designing and scaling large-scale data platforms or data-intensive systems.
- Strong proficiency in Golang, Python, or Java.
- Deep understanding of distributed systems, metadata management, and data modeling principles.
- Hands-on experience with cloud data platforms (e.g., GCP, AWS, Azure) and data orchestration frameworks (e.g., Airflow, Beam, Dataflow, Kafka).
- Demonstrated ability to define and lead complex technical initiatives that span multiple teams or domains.
- Excellent communication skills, with the ability to influence and align stakeholders across engineering, product, and compliance.
Preferred Qualifications:
- Experience leading the design and development of data governance systems at scale, such as data catalog, data lineage, and/or data asset management.
- Expertise in data governance, access control, and privacy compliance frameworks (e.g., GDPR, CCPA).
- Deep understanding of metadata-driven architectures, data quality frameworks, and observability systems.
- Proven ability to set long-term technical direction, guide multiple teams through architectural transitions, and drive platform adoption.
- Recognized for technical mentorship, thought leadership, and fostering a culture of excellence in data infrastructure engineering.
Our Compensation And Benefits (for United States Residents Only)
In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Ready to apply?
Apply to Moloco
Staff Data Engineer - Federal (Auth0)
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Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
The Auth0 Data Engineering Team
Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups:
- Pipeline team, sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data
- Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making
- Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data
The Staff Data Engineer Opportunity
Reporting to the manager of the Data Engineering Pipeline team, the Staff Data Engineer will serve as the technical leader for strategic platform initiatives, beginning with a critical mission: making our data platform FEDRamp compliant.
Reporting to the manager of the Data Engineering Pipeline team, the Staff Data Engineer will serve as the technical leader for the architectural evolution of our core data platform.
This is a high-impact, strategic role where you will not be focused on day-to-day operations. Instead, you will lead the discovery, design, and implementation of the next-generation architecture for our data systems, ensuring they are scalable, reliable, and secure. You will work across multiple data, platform, and security teams to define the architectural roadmap and drive its successful execution. We are looking for a seasoned engineer who thrives on solving complex, ambiguous problems and can drive technical alignment across the organization.
Please note: Due to the strategic nature of upcoming projects, this position is open only to US citizens or Green Card holders currently residing in the United States.
What you’ll be doing
- Lead the architectural design and evolution of our data platform, defining the roadmap for its future state.
- Drive technical strategy for large-scale platform enhancements, balancing long-term goals with incremental delivery.
- Collaborate deeply with engineers and leaders from other data, platform, and security teams to create a unified and secure architecture.
- Produce architectural artifacts, including design documents, threat models, and technical specifications, to create clarity and alignment for complex initiatives.
- Act as a technical mentor and force-multiplier for the Data Engineering team, elevating the performance of the group through guidance, code reviews, and sharing best practices.
- Implement foundational components of new architecture, proving out designs with hands-on coding and providing a model for other engineers to follow.
What you’ll bring to the role
- A passion for building secure, reliable, and scalable data systems.
- 8+ years of software development experience, with at least 5+ years in a data engineering or data platform role.
- Proven experience designing and delivering large-scale, cross-functional technical projects.
- Extensive experience architecting and deploying data infrastructure in a cloud environment (AWS strongly preferred).
- Deep architectural knowledge of the modern data stack, including data warehouses (Snowflake), transformation tools (dbt), and orchestrators (Airflow).
- Strong proficiency in Python and SQL, with a high bar for code quality and system design.
- Excellent communication skills, with the ability to create clarity and drive decisions on complex technical topics.
- The ability to deal with ambiguity, define a path forward, and lead others to successful outcomes.
And extra credit if you have experience in any of the following!
- Direct experience with security compliance frameworks like FEDRamp, SOC2, or HIPAA.
- Hands-on experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes).
- Experience working in government cloud environments (e.g., AWS GovCloud).
- Familiarity with the Identity Access & Management (IAM) domain.
We safeguard Okta from threats and vulnerabilities that could disrupt our business or erode our customers’ trust. The Defensive Cyber Engineering organization is responsible for the Security Data Platform, infrastructure, and tooling that enable Okta’s Detection and Response capabilities. The team also manages enterprise security tools and infrastructure that support XDR, DLP, and SSPM capabilities.
The Role
We are expanding this team to support Okta’s Public Sector roadmap by hiring a Staff Software Engineer in the DC area. You’ll work closely with Security, Business Technology Engineering, and Product teams to implement and manage security solutions, ensuring our core infrastructure applications protect our workforce, endpoints, and corporate data.
To deliver on this vision, you will build data and infrastructure platforms by leveraging your software, data, and security engineering skills. You’ll use automation, policy-as-code, and cloud-native technologies to deliver scalable, resilient, and secure solutions.
What you bring:
- 8+ years of strong coding and scripting experience, with a focus on building automation and custom tooling for infrastructure and data pipelines. Experience with Python is required; proficiency in other languages (e.g., Bash, PowerShell, Go) is a plus.
- Experience developing and maintaining ETL/ELT pipelines for onboarding security data into Okta’s security data lake.
- Experience working with security teams to integrate log sources and ensure seamless data ingestion.
- Ability to build and maintain scalable, fault-tolerant data pipelines to process security event data.
- Proven track record of automating security controls and workflows using a cloud-first approach.
- Experience with Terraform and other infrastructure-as-code tools to orchestrate security infrastructure.
- Familiarity with CI/CD pipelines for security automation and drift management.
- Strong communication skills, with the ability to collaborate with technical staff, support teams, executive leadership, and external vendors.
- 2+ years of experience building engineering solutions within highly regulated environments such as FedRAMP High, IL4, IL5, and/or IL6 is a plus.
- Current or previous Secret, Top Secret (TS), or Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is a plus.
What you’ll be doing
- Serve as a security subject matter expert (SME) for solution engineering and architecture reviews, preferably in the Detection and Response and/or enterprise security tooling space.
- Lead technical efforts to evaluate, design, and implement new enterprise security systems and feature enhancements.
- Build, maintain, and enhance custom automation and cloud infrastructure using Terraform or similar tools to support team workflows and enforce security controls.
- Develop integrations with APIs, cloud platforms (AWS, GCP, Azure), and security infrastructure to improve detection, response, and remediation.
- Write and maintain scripts and automations, with an emphasis on Python-based solutions, to streamline security operations.
- Establish monitoring and alerting for security posture, misconfigurations, and threats across endpoints, SaaS, and cloud workloads.
- Proactively identify and remediate security gaps; stay updated on emerging threats, solutions, and tooling across the industry.
And extra credit if you have experience in any of the following!
- Advanced identity management technologies (MFA, SAML, OAuth, OIDC, WebAuthn)
- Deep understanding of Okta's ecosystem, including advanced configuration and integrations
- Experience with continuous compliance solutions (e.g., policy-as-code, automated evidence gathering)
Additional requirements:
- This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.
#LI-HYBRID
#LI-SH1
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Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
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About the Team
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.
Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.
Why This Role
Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.
If you want to define what analytics looks like in an AI-first company, this is it.
What You'll Do
Build Proactive Intelligence Systems
- Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
- Architect systems that shift analytics from "answering questions" to "anticipating needs"
- Create intelligent alerting that distinguishes signal from noise and recommends specific actions
Create AI-Powered Analytics Tools
- Develop natural language interfaces that let business leaders query data conversationally
- Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
- Ship internal tools that transform how Opendoor makes decisions at every level
Own the Analytics-to-Action Pipeline
- Design data models that support automated analysis, pattern detection, and AI agent interactions
- Build workflows that connect insight generation to recommended actions
- Establish feedback loops that make our AI systems smarter over time
Drive Leverage Across the Business
- Identify high-value opportunities where AI can augment human decision-making
- Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
- Measure impact rigorously—we care about decisions influenced, not dashboards built
We're Looking for Teammates Who Have
Technical Foundation
- 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
- Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
- Strong Python proficiency for data engineering, automation, and AI agent development
- Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
AI & Automation Expertise
- Hands-on experience building and deploying AI agents or LLM-powered applications in production
- Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
- Experience architecting semantic layers or natural language interfaces for data access
- Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions
Analytics & Business Acumen
- Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
- Strong analytical intuition—you know what questions matter before they're asked
- Experience translating ambiguous, cross-functional business problems into technical solutions
- History of operating autonomously and setting direction, not just executing on defined projects
Leadership & Influence
- Experience mentoring other analysts or engineers, formally or informally
- Demonstrated ability to influence senior stakeholders and drive alignment across teams
- Comfort operating in ambiguity and shaping strategy, not just responding to it
- Track record of building systems and processes that scale beyond yourself
Builder Mindset
- You ship products, not just dashboards
- You'd rather build something useful in a week than something perfect in a quarter
- You measure success by business impact, not technical complexity
- You're energized by creating leverage—building once so others benefit forever
Bonus Points If You Have
- Experience in real estate, fintech, or marketplace businesses
- Background in marketing analytics, sales operations, product analytics, or pricing/economics
- History of building tools or platforms that replaced recurring analyst work
- Experience leading technical projects or small teams
The base pay range for this position based on level is $186,000 - $256,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
#LI-DM
Ready to apply?
Apply to Opendoor
About the Team
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.
Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.
Why This Role
Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.
If you want to define what analytics looks like in an AI-first company, this is it.
What You'll Do
Build Proactive Intelligence Systems
-
Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
-
Architect systems that shift analytics from "answering questions" to "anticipating needs"
-
Create intelligent alerting that distinguishes signal from noise and recommends specific actions
Create AI-Powered Analytics Tools
-
Develop natural language interfaces that let business leaders query data conversationally
-
Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
-
Ship internal tools that transform how Opendoor makes decisions at every level
Own the Analytics-to-Action Pipeline
-
Design data models that support automated analysis, pattern detection, and AI agent interactions
-
Build workflows that connect insight generation to recommended actions
-
Establish feedback loops that make our AI systems smarter over time
Drive Leverage Across the Business
-
Identify high-value opportunities where AI can augment human decision-making
-
Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
-
Measure impact rigorously—we care about decisions influenced, not dashboards built
We're Looking for Teammates Who Have
Technical Foundation
-
5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
-
Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
-
Strong Python proficiency for data engineering, automation, and AI agent development
-
Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
AI & Automation Expertise
-
Hands-on experience building and deploying AI agents or LLM-powered applications in production
-
Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
-
Experience architecting semantic layers or natural language interfaces for data access
-
Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions
Analytics & Business Acumen
-
Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
-
Strong analytical intuition—you know what questions matter before they're asked
-
Experience translating ambiguous, cross-functional business problems into technical solutions
-
History of operating autonomously and setting direction, not just executing on defined projects
Leadership & Influence
-
Experience mentoring other analysts or engineers, formally or informally
-
Demonstrated ability to influence senior stakeholders and drive alignment across teams
-
Comfort operating in ambiguity and shaping strategy, not just responding to it
-
Track record of building systems and processes that scale beyond yourself
Builder Mindset
-
You ship products, not just dashboards
-
You'd rather build something useful in a week than something perfect in a quarter
-
You measure success by business impact, not technical complexity
-
You're energized by creating leverage—building once so others benefit forever
Bonus Points If You Have
-
Experience in real estate, fintech, or marketplace businesses
-
Background in marketing analytics, sales operations, product analytics, or pricing/economics
-
History of building tools or platforms that replaced recurring analyst work
-
Experience leading technical projects or small teams
Ready to apply?
Apply to Opendoor
About the Team
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.
Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.
Why This Role
Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.
If you want to define what analytics looks like in an AI-first company, this is it.
What You'll Do
Build Proactive Intelligence Systems
-
Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
-
Architect systems that shift analytics from "answering questions" to "anticipating needs"
-
Create intelligent alerting that distinguishes signal from noise and recommends specific actions
Create AI-Powered Analytics Tools
-
Develop natural language interfaces that let business leaders query data conversationally
-
Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
-
Ship internal tools that transform how Opendoor makes decisions at every level
Own the Analytics-to-Action Pipeline
-
Design data models that support automated analysis, pattern detection, and AI agent interactions
-
Build workflows that connect insight generation to recommended actions
-
Establish feedback loops that make our AI systems smarter over time
Drive Leverage Across the Business
-
Identify high-value opportunities where AI can augment human decision-making
-
Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
-
Measure impact rigorously—we care about decisions influenced, not dashboards built
We're Looking for Teammates Who Have
Technical Foundation
-
5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
-
Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
-
Strong Python proficiency for data engineering, automation, and AI agent development
-
Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
AI & Automation Expertise
-
Hands-on experience building and deploying AI agents or LLM-powered applications in production
-
Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
-
Experience architecting semantic layers or natural language interfaces for data access
-
Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions
Analytics & Business Acumen
-
Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
-
Strong analytical intuition—you know what questions matter before they're asked
-
Experience translating ambiguous, cross-functional business problems into technical solutions
-
History of operating autonomously and setting direction, not just executing on defined projects
Leadership & Influence
-
Experience mentoring other analysts or engineers, formally or informally
-
Demonstrated ability to influence senior stakeholders and drive alignment across teams
-
Comfort operating in ambiguity and shaping strategy, not just responding to it
-
Track record of building systems and processes that scale beyond yourself
Builder Mindset
-
You ship products, not just dashboards
-
You'd rather build something useful in a week than something perfect in a quarter
-
You measure success by business impact, not technical complexity
-
You're energized by creating leverage—building once so others benefit forever
Bonus Points If You Have
-
Experience in real estate, fintech, or marketplace businesses
-
Background in marketing analytics, sales operations, product analytics, or pricing/economics
-
History of building tools or platforms that replaced recurring analyst work
-
Experience leading technical projects or small teams
Ready to apply?
Apply to Opendoor
Senior ML Engineer
Share this job
Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration.
What you will do:
- Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
- Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
- Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
- Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
- Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
- Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
- Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
- Translate complex ML workflows into digestible updates for cross-functional stakeholders.
- Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
- Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
- Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
- Help build and ship AI agents that help automate key auto-shop business processes.
We are looking for people who have:
- Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
- Proven experience shipping models into production (not just proof-of-concepts or notebooks).
- Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
- Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
- Bachelor’s degree in a STEM field, or equivalent practical experience.
- Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.
Nice to have:
Candidates should have some experience in one or more of the following areas.
- Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML.
- Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
- Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
- Experience with/interest in LLM workflows and agentic workflows
- Cloud infrastructure experience, (e.g. GCP, AWS).
- Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
- Strong SQL skills for working with large-scale data.
- Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.
Bonus Points:
- Prior experience working at a high growth startup.
- Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
- Background in data processing or real-time analytics.
- Experience with Snowflake or other large-scale data warehouse solutions.
In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.
Why Shopmonkey?
Shopmonkey has become an amazing environment where employees feel that they are valued as people, and not just worker bees. To ensure that our team thrives, we invest in the following perks (benefits below are mainly for U.S. based, full-time employees). Other benefits vary upon location outside of the United States, and employment status:
💪🏼 Health & Wellness
- Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date
- Short term and long term disability
- Employee assistance program
- Reimbursement for a personal health and wellness membership
- Generous parental leave
- 401(k) available upon hire
✈️ Time Off
- 11 paid holidays
- Flexible time off - take the time off you need!
🥰 Giving Back
- Matching donations for approved charitable organizations
- Group volunteer efforts
Check out our founder’s story, life page, or hear from real employees about what it’s like to work at Shopmonkey.
Join our team of hungry, humble, smart people who love what they do, and change the auto industry by helping every shop thrive.
About the Industry
The U.S. is the second largest passenger vehicle market with more than 260 million registered passenger vehicles, and the global car repair market is estimated to be worth more than $500B. Shopmonkey aims to change the status quo and enable auto shops to become more efficient and give their customers a more delightful experience.
About Shopmonkey
Shopmonkey is the leading auto-repair shop software company; it is a cloud-based solution that helps auto-repair shops consolidate tools, save time, and streamline their entire operation onto a simple, easy-to-use platform.
Headquartered in Silicon Valley and trusted by more than 3,500+ auto shops across the U.S. and Canada, Shopmonkey aims to change the status quo of the car repair market, estimated to be worth more than $500B.
In 2021 Shopmonkey raised a $75 million Series C, supported by top-tier Silicon Valley venture capital firms Bessemer Venture Partners, Index Ventures, Headline, I2BF, and ICONIQ Growth.
In 2022, Shopmonkey was named #4 on Forbes' annual ranking of America's Best Startup Employers list (and #1 in Business Products & Software Services). Shopmonkey was once again named as one of America's Best Startup Employers by Forbes in 2023, 2024, and 2026!
Shopmonkey is committed to building a diverse and inclusive team. We are looking for team members from all backgrounds that are committed to the Shopmonkey mission.
Shopmonkey provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Shopmonkey is committed to the full inclusion of all qualified individuals. In keeping with our our commitment, Shopmonkey will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact our Talent Team at hiring@shopmonkey.io.
Please note: Shopmonkey will never request sensitive information such as your social security number, bank account information, or other non-publicly available information during the application and interview process. If an applicant is extended an offer of employment, such sensitive information will be requested at that time. Shopmonkey will never ask you to receive and ship packages or goods as part of the interview. Other practices to be on alert for:
- Contact initiated via unsolicited text message or cold call. Shopmonkey does not follow up with candidates through instant messaging applications.
- Our Talent Acquisition team only corresponds from email addresses with the domain ‘@Shopmonkey.io’. If a generic email ID ending with Gmail/Yahoo or other domain is used while receiving a job offer or interview call, there is a likelihood of a scammer.
- While some of our jobs can be found on third party job sites, all of our current job opportunities and descriptions are posted on Shopmonkey’s Careers page, or our official LinkedIn Company Page
The U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiting scams and financial fraud. If you believe you were a victim of such a scam, you may contact your local law enforcement agencies. Shopmonkey is not responsible for any claims, liability, losses, damages, or expenses resulting from scammers or impersonators.
Ready to apply?
Apply to Shopmonkey
Senior Data Engineer
Share this job
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do
- Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
- Design and own data architecture for large-scale projects while managing operational trade-offs
- Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
- Define and manage Service Level Agreements (SLAs) for all owned data sets
- Implement data security models, ensure privacy compliance, and evolve data governance processes
- Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
- Maintain production processes by optimizing complex code using advanced algorithmic concepts
- Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
- Mentor team members through actionable feedback to foster collective skill growth
- Maintain flexibility with availability during evening hours
What we're looking for
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
- master's degree is preferred
- 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
- 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
- Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
- Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
- Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality, system reliability, and performance
- Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
- Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
While not required, these are a plus:
- Experience with Spark and PySpark
- Master's degree in Computer Science, Computer Engineering, or a relevant technical field
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Senior Data Engineer
Share this job
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do
- Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
- Design and own data architecture for large-scale projects while managing operational trade-offs
- Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
- Define and manage Service Level Agreements (SLAs) for all owned data sets
- Implement data security models, ensure privacy compliance, and evolve data governance processes
- Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
- Maintain production processes by optimizing complex code using advanced algorithmic concepts
- Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
- Mentor team members through actionable feedback to foster collective skill growth
- Maintain flexibility with availability during evening hours
What we're looking for
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
- master's degree is preferred
- 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
- 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
- Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
- Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
- Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality, system reliability, and performance
- Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
- Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
While not required, these are a plus:
- Experience with Spark and PySpark
- Master's degree in Computer Science, Computer Engineering, or a relevant technical field
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Senior AI Engineer
Share this job
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions — not someday, but now — this is the role.
What you'll do
- Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows
- Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups
- Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability
- Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback
- Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time
- Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities
- Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture
What we're looking for
- 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production
- Strong Python skills — you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services
- Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use)
- Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred)
- Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred)
- A strong instinct for product quality — you care about whether the tools you build are actually useful, not just technically functional
- Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection
While not required, these are a plus:
- Experience with vector databases, embeddings, or semantic search is a plus
Our Stack
- Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
- Datastores: MySQL, PostgreSQL, Snowflake
- Cloud: AWS
- Version control: Git & GitHub
- AI Tooling: Copilot on GitHub and Claude Code
- Observability: Datadog
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.
In this role, you will:
- Design, implement, and optimize end-to-end data pipelines for scraping and processing structured and unstructured data using Google Cloud Platform (or similar) and best practices;
- Conduct ad hoc web scraping and data collection to support research and intelligence initiatives;
- Prepare data for further analysis, including data cleaning, transformation, anonymization, and masking;
- Contribute to the development of internal and external APIs, following best practices;
- Collaborate with ML engineers, other data engineers, and software developers to deliver actionable insights and functional tools, including internal and external dashboards, APIs, and data dumps; and
- Drive other critical initiatives.
Requirements:
- Degree (or equivalent work experience) in Computer Science, Engineering, Information Science, Data Science or a related field (graduate degree preferred)
- 2+ years of professional experience in data engineering or a closely related field
- Ability to communicate complex technical ideas clearly to non-technical audiences
- Proficiency in Python, SQL
- Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)
- Experience with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner) and workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub)
- Experience building and managing data pipelines, especially for text data
- Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams
Compensation & Benefits:
- Salary Range: $105K–$125K, depending on experience and location
- Bonus: Performance-based annual bonus
- Professional Development: Support for conferences, continuing education, or leadership training
- Work Environment: Fully remote, U.S.-based
- Health Benefits: Comprehensive health, dental, and vision coverage
- Time Off: Generous PTO and paid holiday schedule
Retirement: 401(k) plan
Ready to apply?
Apply to 10a Labs
Machine Learning Engineer, Growth
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Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
Metropolis is seeking a Machine Learning Engineer to develop and expand our revenue forecasting and dynamic pricing systems. This position is part of the machine learning team within the Advanced Technology Group (ATG) and directly influences key business metrics, including revenue, utilization, and customer demand. In this role, you will design and implement models that predict demand, analyze price–demand relationships, and develop pricing strategies. This is a highly impactful role with significant ownership over data, modeling, and infrastructure systems.
What you'll do
- Design, develop, and productionize demand forecasting models optimized for different business goals (e.g., visits, revenue, availability)
- Innovate and improve Machine Learning models for price elasticity, time series, and probabilistic models for revenue optimization
- Design and build end-to-end data pipelines to support large-scale production usage
- Identify data issues (e.g., bias, leakage, labeling inconsistencies) and drive solutions
- Design and analyze experiments (A/B, switchback, causal inference) to validate pricing strategies
- Deploy and monitor models in production, ensuring reliability, scalability, and data quality
- Collaborate with product, engineering, and business teams to translate requirements into scalable ML solutions
What we're looking for
- PhD in Computer Science, Statistics, Economics, Applied Mathematics, or a related STEM field, with at least 1+ years of relevant experience, or MS with equivalent publications
- Proficient programming skills in Python and SQL
- Foundational experience in machine learning modeling and statistics, such as time series forecasting, probabilistic models, and deep learning models
- Strong knowledge with forecasting, optimization, and decision-making algorithms, including revenue maximization, constrained optimization, and demand/price curve optimization
- Solid understanding of causal inference and experimentation, with experience evaluating both short-term and long-term effects (A/B testing, DiD, uplift modeling)
- Hands-on experience with data pipeline development, including AWS data storage, data transformation, distributed processing (Spark), and workflow orchestration (Airflow)
- Strong communication skills, both written and verbal, with the ability to operate effectively at team and deep technical levels
- Comfortable reading academic papers and formulating concepts using mathematical notation
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $180,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-NM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
SMX is seeking an experienced Senior Data Engineer to support the Federal Bureau of Investigation (FBI) Business Strategy and Analytics Section (BSAS) Human Resources Reports program. This role will design and implement enterprise data architecture solutions that support advanced analytics, reporting, and data science initiatives across the FBI’s human capital ecosystem. The Senior Data Architect will work closely with data engineers, developers, and business stakeholders to integrate data from multiple enterprise systems, develop scalable data models, and enable high-impact analytics solutions that inform workforce planning, hiring, and mission support decisions. This position will support the modernization and continued development of the FBI’s enterprise HR analytics platform operating in AWS cloud environments. The ideal candidate will have deep experience with enterprise data architecture, cloud-based data warehousing, ETL orchestration, and business intelligence platforms. This individual will play a key role in designing scalable data solutions, enabling predictive analytics capabilities, and ensuring secure, efficient access to enterprise data across classified and unclassified environments. This is a full-time position requiring on-site work four days a week at a client’s office in Washington, D.C. An active Top-Secret clearance is mandatory.
Essential Duties and Responsibilities:
- Design and maintain enterprise logical and physical data models supporting large-scale analytics platforms.
- Architect and optimize data warehouse solutions using AWS cloud technologies such as Redshift and related services.
- Design and implement scalable data pipelines using SQL, Python, Apache Airflow, and related orchestration tools.
- Integrate data from multiple enterprise systems including HR, training, financial, and operational platforms.
- Define and enforce enterprise data governance, security, and data management standards.
- Collaborate with development and analytics teams to translate business requirements into technical data architecture solutions.
- Support enterprise analytics platforms including Business Intelligence tools such as MicroStrategy and ThoughtSpot.
- Ensure data architectures support advanced analytics and predictive modeling initiatives.
- Develop strategies to improve data quality, performance, scalability, and accessibility across the data ecosystem.
- Support system integration activities and maintain interfaces across multiple FBI enterprise systems.
- Assist with architecture design supporting both classified and unclassified environments.
- Participate in Agile development activities including sprint planning, backlog refinement, and technical design discussions.
- Provide technical leadership and architectural guidance to data engineers, developers, and analysts.
- Assist with documentation including system design documents, data models, and architecture diagrams.
Required Skills:
- 10+ years of experience in data architecture, data engineering, or enterprise data platform design.
- Extensive experience with data warehousing architectures and enterprise data modeling.
- Strong experience with SQL and large-scale relational databases.
- Experience with AWS cloud services, particularly Redshift or similar data warehouse technologies.
- Experience designing and managing ETL / ELT pipelines using tools such as Apache Airflow, AWS Glue, or similar technologies.
- Experience integrating data across multiple enterprise systems and APIs.
- Experience with Business Intelligence platforms such as MicroStrategy, ThoughtSpot, Tableau, or Power BI.
- Strong understanding of data governance, security, and access control models.
- Experience working in Agile development environments.
- Ability to translate complex business requirements into scalable technical data solutions.
- Strong communication skills and ability to collaborate with technical and non-technical stakeholders.
- Active Top Secret clearance.
Desired Skills/Experience:
- Experience supporting federal government enterprise analytics platforms.
- Experience working with HR or human capital data systems such as PeopleSoft or similar platforms.
- Experience working with sensitive or regulated datasets (PII, security clearance data, etc.).
- Experience supporting predictive analytics or data science initiatives.
- Experience with data architecture supporting enterprise BI ecosystems.
- Experience supporting systems operating in multiple security enclaves.
- Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related technical field.
**This position requires four days a week on site at customer location in Washington DC. **
Application Deadline: 5-29-2026
#LI-SA
#cjpost
The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
Ready to apply?
Apply to SMX
Senior Data Engineer
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Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do
- Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
- Design and own data architecture for large-scale projects while managing operational trade-offs
- Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
- Define and manage Service Level Agreements (SLAs) for all owned data sets
- Implement data security models, ensure privacy compliance, and evolve data governance processes
- Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
- Maintain production processes by optimizing complex code using advanced algorithmic concepts
- Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
- Mentor team members through actionable feedback to foster collective skill growth
- Maintain flexibility with availability during evening hours
What we're looking for
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
- master's degree is preferred
- 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
- 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
- Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
- Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
- Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality, system reliability, and performance
- Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
- Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
While not required, these are a plus:
- Experience with Spark and PySpark
- Master's degree in Computer Science, Computer Engineering, or a relevant technical field
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Senior Data Engineer
Share this job
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do
- Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
- Design and own data architecture for large-scale projects while managing operational trade-offs
- Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
- Define and manage Service Level Agreements (SLAs) for all owned data sets
- Implement data security models, ensure privacy compliance, and evolve data governance processes
- Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
- Maintain production processes by optimizing complex code using advanced algorithmic concepts
- Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
- Mentor team members through actionable feedback to foster collective skill growth
- Maintain flexibility with availability during evening hours
What we're looking for
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
- master's degree is preferred
- 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
- 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
- Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
- Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
- Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality, system reliability, and performance
- Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
- Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
While not required, these are a plus:
- Experience with Spark and PySpark
- Master's degree in Computer Science, Computer Engineering, or a relevant technical field
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Senior Data Engineer
Share this job
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do
- Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
- Design and own data architecture for large-scale projects while managing operational trade-offs
- Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
- Define and manage Service Level Agreements (SLAs) for all owned data sets
- Implement data security models, ensure privacy compliance, and evolve data governance processes
- Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
- Maintain production processes by optimizing complex code using advanced algorithmic concepts
- Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
- Mentor team members through actionable feedback to foster collective skill growth
- Maintain flexibility with availability during evening hours
What we're looking for
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
- master's degree is preferred
- 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
- 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
- Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
- Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
- Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality, system reliability, and performance
- Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
- Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
While not required, these are a plus:
- Experience with Spark and PySpark
- Master's degree in Computer Science, Computer Engineering, or a relevant technical field
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Cleared Computer Vision Scientist
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The work:
- Develop, train, finetune and evaluate computer vision models in a wide range of topics, including geospatial, biometrics, 3D vision, semantic extraction, etc.
- Deploy, maintain, and optimize ML models and data processes in a production environment
- Develop custom Computer Vision (CV) algorithms that translate into mission value
- Create tools to provide feedback from production ML models and data processes
- Assist in the development and optimization of computer vision models using deep learning frameworks (e.g., PyTorch, TensorFlow).
- Collaborate with other scientists and engineers to build and deploy models for tasks such as object detection, image segmentation, classification, and tracking
- Stay up to date with the latest research and advancements in the field of computer vision and deep learning
- Participate in data collection, preprocessing, and augmentation processes to ensure high-quality datasets
- Conduct experiments, analyze results, and contribute to the improvement of model accuracy and efficiency
- Assist in the integration of computer vision algorithms into production systems and applications
- Document code, methodologies, and experimental results
Here’s what you need:
- Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., PyTorch, TensorFlow)
- Proficiency with programming languages such as Python, C/C++ or Rust
- Strong understanding of CNNs, transformers and other advanced architectures and their applications in computer vision tasks
- Strong analytical and problem-solving skills
- Ability to work collaboratively in a team environment and take direction from senior team members
- Hands-on experience with developing computer vision models at scale from inception to business impact
- Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
- U.S. Citizenship (No Dual citizenship)
Bonus points if you have:
- Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
- Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC
- Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP
- Hands on experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment
- Hands-on experience with other image modalities (SAR, IR, HSI, Lidar, Sonar)
Security Clearance:
- Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
Ready to apply?
Apply to Accenture Federal Services
AI/ML Engineer
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The work:
- Develop MLOps frameworks and workflows for a variety of domains and applications
- Deploy, maintain, and optimize ML models and data processes in a production environment
- Develop custom AI/ML algorithms that translate into mission value
- Conduct experiments, evaluate model performance, and fine-tune algorithms to improve accuracy and efficiency
- Collaborate with cross-functional teams to integrate AI/ML models into products and services
Here’s what you need:
- Hands-on experience with scripting languages such as Python, Javascript or Rust
- Hands-on experience with developing machine learning models at scale from inception to business impact
- Hands-on experience with any major deep learning framework and libraries (Tensorflow, PyTorch, HuggingFace)
- Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC
- Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP
- Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
- Experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment
- Experience working with and managing processing of large datasets and computational or analytic jobs
- Experience monitoring and triaging issues with data processes and tools
- Must be a U.S. Citizen (No Dual citizenship)
Bonus points if you have:
- Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
Ready to apply?
Apply to Accenture Federal Services
Cleared AI/ML Engineer
Share this job
The work:
- Develop MLOps frameworks and workflows for a variety of domains and applications
- Deploy, maintain, and optimize ML models and data processes in a production environment
- Develop custom AI/ML algorithms that translate into mission value
- Conduct experiments, evaluate model performance, and fine-tune algorithms to improve accuracy and efficiency
- Collaborate with cross-functional teams to integrate AI/ML models into products and services
Here’s what you need:
- Hands-on experience with scripting languages such as Python, JavaScript or Rust
- Hands-on experience with developing machine learning models at scale from inception to business impact
- Hands-on experience with any major deep learning framework and libraries (TensorFlow, PyTorch, HuggingFace)
- Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC
- Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP
- Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
- Experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment/s
- Experience working with and managing processing of large datasets and computational or analytic jobs or in academic setting
- Experience monitoring and triaging issues with data processes and tools
- US Citizenship (No Dual citizenship)
Bonus points if you have:
- Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
Security Clearance:
- Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
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Cleared AI/ML Engineer
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The work:
- Develop MLOps frameworks and workflows for a variety of domains and applications
- Deploy, maintain, and optimize ML models and data processes in a production environment
- Develop custom AI/ML algorithms that translate into mission value
- Conduct experiments, evaluate model performance, and fine-tune algorithms to improve accuracy and efficiency
- Collaborate with cross-functional teams to integrate AI/ML models into products and services
Here’s what you need:
- Hands-on experience with scripting languages such as Python, JavaScript or Rust
- Familiar with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC
- Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP
- Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
- Experience working with and managing processing of large datasets and computational or analytic jobs
- US Citizenship (No Dual citizenship)
Bonus points if you have:
- Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
Security Clearance:
- Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
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About Virtru:
While the rest of the security industry obsesses over locking data down to prevent it from being lost or stolen, we're doing something fundamentally different at Virtru. We're setting data free so that you can intentionally share it with others, but without sacrificing security, privacy, or control.
We've created both a suite of powerful data protection applications and an open platform that's sparking an ecosystem of innovation. Through the Trusted Data Format (TDF) open standard, we're not just protecting data; we're creating a new paradigm where security enables sharing rather than preventing it.
Think of us as the Android of data protection: a robust platform with an open core that developers and partners can build upon, coupled with our own best-in-class applications that showcase what's possible when you reimagine security from the ground up.
Backed by Iconiq Capital, Bessemer Venture Partners, Foundry Capital, and Tiger Global, we're helping Fortune 500 companies and government agencies discover that true data security means having the freedom to share, collaborate, and innovate — without compromise.
Compensation: $180,000-$210,000
Team and Position Details:
As a Data Warehouse Technical Architect with deep site reliability engineering (SRE) experience, you will be reporting to the Chief Technology Officer and will be dedicated to architectural excellence and technical leadership for Virtru's digital privacy products. The ideal candidate will have a natural passion for digital privacy, data architecture, and delivering exceptional technical solutions. You'll have the opportunity to work with and mentor a stellar team of passionate engineers who are collaborative, cohesive, and dedicated to producing high-quality results. We encourage curiosity and have a culture that encourages growth. As a Technical Architect on this team, you will be on the cutting edge of Zero-Trust - the future of data and service protection!
This is a player/coach role with primary focus on architecture, design, and technical health, while also contributing to critical technical implementations. You will partner closely with Engineering Managers and other technical architects to provide dedicated architecture and expertise to design, build, and operate our mission-critical data infrastructure at scale.
As a Data Warehouse Technical Architect, your responsibilities will include:
Software Architecture & Design:
- Lead system design and architecture reviews for scaled data warehouses and engineer and designing and deploying web scale applications
- Deep experience in SRE and deploying application at scale to clouds. Strong foundation in SRE principles and practices
- Create and maintain architectural documentation, including authoring and reviewing ADRs (Architecture Decision Records), to ensure alignment with overall software architecture
- Data lakehouse design, data modeling, and integration patterns for deploy databases and data as a service, at scale
- Provide technical direction for scaling complex features and initiatives involving data storage, processing and deployments
- Familiarity with machine learning infrastructure and MLOps
Technical Health & Quality:
- Monitor and improve technical debt across all engineering teams, related to data storage, processing and site reliability
- Partner with Engineering Managers to define key technical health metrics and streamline technical onboarding processes
- Drive reliability, performance, and security best practices for data storage, processing and SRE
- Break down complex technical tasks into clear, manageable deliverables for the team
- Ensure sustainable engineering practices and code quality standards
- Serve as a technical guide for team members, helping them understand data access and storage and deployment architecture, and development practices
- Ensure teams are delivering solutions to satisfy requirements while aligning to current and future architectural designs
Technical Leadership & Mentorship:
- Coach and mentor engineers on data storage, warehouse, processing, and SRE systems architecture, and best practices
- Lead by example through high-quality code contributions to critical or complex components
- Share knowledge of hyperscale data warehouse/lakehouses, data models, and emerging technologies with the team
- Assist SRE teams with improving stability, automation, and scalability
- Conduct code reviews with focus on architectural alignment and quality
- Support hiring processes and technical assessments for engineering candidates
Collaboration & Strategic Partnership:
- Partner with Engineering Managers through regular 1:1s and team planning sessions
- Collaborate with product management, UX, and other architects to design and deliver new software solutions
- Work with other Technical Architects to identify and resolve cross-team dependencies and technical challenges
- Ensure technical roadmap alignment with product and business priorities
- Participate in and contribute to platform-wide architectural initiatives
Execution:
- Take ownership of the entire lifecycle and toolchain of all data components from design through deployment
- Contribute to critical technical implementations, balancing hands-on coding with architectural responsibilities
- Work collaboratively in a fast-paced environment touching a variety of projects and products
- Build software that will meaningfully impact how people approach data privacy
Skills that will help you thrive in this role:
Technical Expertise:
- Strong knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift, or Synapse)
- Strong experience with lakehouse platforms (Databricks, Delta Lake, Apache Iceberg, or Hudi)
- Deep understanding of data modeling techniques (Kimball, Data Vault, or dimensional modeling)
- Experience with columnar storage formats (Parquet, ORC)
- Strong knowledge of batch and stream processing architectures
- Experience with workflow orchestration tools (Airflow, Prefect, Dagster, or similar)
- Understanding of CDC (Change Data Capture) patterns and tools
- Strong foundation in SRE principles and practices
- Experience with infrastructure as code (Terraform, CloudFormation, or Pulumi)
- Proficiency in containerization and orchestration (Docker, Kubernetes)
- Knowledge of monitoring and observability tools (Datadog, Prometheus, Grafana, or similar)
- Experience with CI/CD pipelines and DevOps practices
Architectural & Leadership Skills:
- Demonstrated experience leading architectural design and technical direction for engineering teams
- Proven ability to influence without authority and drive technical decisions across teams
- Strong technical mentoring and coaching experience
- Experience creating architectural documentation, design documents, and technical specifications
- Track record of improving technical health metrics and reducing technical debt
- Experience with cross-team collaboration and dependency management
Education & Experience:
- Bachelor's degree in Computer Science, Engineering, or related technical discipline (or equivalent experience)
- At least 7 years of data warehouse, database, or data processing experience
- Proven experience in architectural or technical leadership roles
Communication & Collaboration:
- Excellent ability to communicate clearly and concisely, both verbally and in writing
- Strong presentation skills and ability to articulate complex technical concepts to diverse audiences
- Experience with stakeholder management and aligning technical decisions with business context
- Motivated by delivering customer value, team impact, and technical excellence
Preferred Qualifications:
- Experience architecting Microsoft 365 add-ins with focus on security, performance, and user experience
- Knowledge of data privacy, encryption, and zero-trust security models
- Familiarity with CI/CD pipelines and modern DevOps practices
- Contributions to open-source projects or technical community involvement
Virtruvian qualities that will set you up for success:
- Thinking outside of the box to respectfully challenge your teammates and managers in the pursuit of excellence
- Strong sense of urgency with an action-oriented mindset
- Able to collaborate and adapt to shifting priorities as business needs evolve
- Comfortable with asynchronous communication including slack, email, zoom, etc.
Perks & Benefits:
At Virtru, we believe people do their best work when their wellbeing is put first. This is why we make your wellbeing our priority with a thoughtful and holistic program that encompasses Occupational, Mental, Social, Physical, and Environmental Wellness by offering benefits such as…
- A Flexible PTO policy — we strongly encourage you to take time off (in addition to 14 holidays) to ensure that you are getting the proper time needed to unplug and recharge.
- A $1,500 annual Learning & Development Stipend focused on providing you the resources to continually learn and professionally grow.
- Frequent company-sponsored team celebrations that provide ample opportunities to connect with teammates and be social!
- Access to an Employee Assistance Program
- Access to Headspace, a mental health app tailored to your specific needs.
- A flat 3% contribution to your retirement account
- A high degree of flexibility — Have an appointment, errand, or family emergency to take care of? Hop to it! We give you the time and space to take care of you and your own first.
In addition to wellbeing, Virtru places a strong emphasis on diversity, equity, inclusion, and belonging. Our DE&I Council is dedicated to fostering an inclusive workplace and making the psychological safety of each and every one of our teammates a top priority.
Additional perks include:
- Competitive compensation
- Generous parental, medical, and bereavement policies
- Uncapped commissions for Sales roles
- 401K contribution and stock options
- Full medical, dental, and vision benefits
- New Hire Swag and IT Welcome boxes
- Structured semi-annual 360° performance reviews
Virtru is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. Virtru is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.
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Data Scientist, Pricing
Location: Hyrbrid 4 onsite, 1 remote Seattle WA.
Opendoor is transforming one of the largest, most complex markets in the world — residential real estate — using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company’s financial performance.
We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You’ll operate at the intersection of economics, machine learning, experimentation, and product strategy — tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory — and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.
What You’ll Do
- Build and maintain pricing metrics, dashboards, and frameworks.
- Run experiments and causal analyses to measure impact and drive decisions.
- Develop predictive + statistical models that improve pricing accuracy.
- Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
- Deliver insights and narratives that inform executive strategy.
Skills & Qualifications
- Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
- Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
- Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
- Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
- Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
- High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
- Effective communicator — able to tell the story behind the model to both highly technical and non-technical audiences.
- 8+ years of experience in data science, product analytics, or a similar quantitative role.
Base salary range for this role varies. Generally, the base salary range is $186,000 – $256,000 annually + RSUs + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K).
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About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.
About the role: As an Engineering Fellow, you will apply your technical skills to support high-impact research problems. Fellows will contribute across the project lifecycle — from processing diverse data sources and designing dynamic visualizations, to deploying sophisticated models and building cloud infrastructure. This is a hands-on role at the intersection of applied research and practical engineering, with opportunities to explore novel methods, test ideas quickly, and generate insights.
Fellows specialize in one of three concentrations based on interest and past experience: Software Engineering, Data Engineering, or Machine Learning.
In this role, you will:
- Collaborate with engineers on real projects, including client-facing products and in-house tooling;
- Assist with researching experiment design and automation, particularly as it relates to abuse detection or red teaming of AI systems;
- Ideate / brainstorm new research approaches to known and novel problems in the Trust & Safety and AI Security fields; and
- Support other critical initiatives.
Software Engineering concentration responsibilities may include:
- Implementing cloud infrastructure for deploying machine learning models;
- Writing high-coverage test suites for complex codebases; and
- Guiding project development with software engineering best practices, including version control, continuous integration, and design patterns.
Data Engineering concentration responsibilities may include:
- Sourcing, curating, and processing diverse data sources across domains and modalities, including automated collection of internet-scale datasets;
- Designing data architecture schemata, implementing with production-grade data storage tools, and interfacing via custom APIs; and
- Developing front-end dashboards and other visualizations.
Machine Learning concentration responsibilities may include:
- Training, validating, evaluating, and deploying cutting-edge machine learning algorithms including classifiers, LLMs, and computer vision models;
- Building agentic systems for automated prompting, red-teaming, research, and rapid experimentation;
- Supporting projects with specialized knowledge of frontier model architectures and cutting-edge technology.
We’re looking for someone who:
- Brings curiosity and creativity to ambiguous research problems, with a bias toward experimentation and rapid iteration;
- Thrives in collaborative, interdisciplinary environments; is resourceful, proactive, and adaptable;
- Is comfortable communicating technical ideas clearly to both technical and non-technical audiences; and
- Is excited about contributing to real-world applications and exploring new methods that push beyond standard benchmarks.
Requirements:
- Strong academic background and quantitative foundation demonstrated through applied coursework, research, or hands-on-experience
- Strong Python background
- Clear communicator of technical concepts for non-technical audiences
Nice to have:
- Familiarity with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner), workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub), and ML services (e.g., Vertex AI, Compute Engine)
- Experience managing full lifecycle projects from design to deployment
Software Engineering:
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- Experience designing and building end-to-end backend systems, from architecture and data modeling to deployment, scaling, and monitoring
- Proficiency in backend programming languages such as Python, Java, Kotlin, Node.js, or Go and experience building secure systems, APIs, and microservices
- Knowledge of security best practices, including authentication methods (OAuth, JWT), encryption, and secure API development; knowledge of common attack vectors (SQL injection, privilege escalation, DDoS) and effective mitigation strategies
Data Engineering:
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- Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)
Machine Learning Engineering:
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- Computer vision skills (OCR, image classification, deep fake detection)
- Familiarity with multimodal learning (text-image or text-audio) or cross-domain model evaluation
- Exposure to MLOps tools and practices (Docker, Kubernetes, CI/CD for ML, MLflow, etc.)
- Understanding of modern retrieval-augmented generation (RAG), AI agent frameworks, and context-aware orchestration (e.g., LangChain, LlamaIndex, OpenAI Agents, or AutoGen) for building intelligent applications
Benefits:
- Flexible start / end dates
- Remote work (based in the continental U.S.)
- Flexible schedule, up to 20 hours per week (negotiable)
- Hourly pay commensurate with experience and qualifications
- $30 per hour for undergraduate students
- $35 per hour for graduate students
- $50 per hour for advanced PhD students
- $60 per hour for postdocs or non-tenured positions
- $125 per hour for tenure-track academics
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SMX is seeking a motivated and detail-oriented Data Analyst to join our team. This role focuses on creating and maintaining efficient data processing systems and pipelines to support strategic decision-making and business operations. The ideal candidate will work closely with cross-functional teams to deliver reliable and scalable back-end data solutions. This is a full-time position requiring on-site work four days a week at a client’s office in Washington, D.C. An active Top-Secret clearance is mandatory.
Key Responsibilities
• Design, develop, and maintain data pipelines, integrating data from various sources to ensure reliable and efficient processing.
• Implement ETL (Extract, Transform, Load) processes using tools such as Apache Airflow, AWS Glue, Informatica, or similar technologies.
• Manage and optimize database operations, leveraging SQL and working with modern data warehousing platforms such as AWS Redshift.
• Collaborate with data analysts and other stakeholders to understand data requirements and translate them into robust back-end solutions.
• Create scalable and efficient data architectures, ensuring performance optimization and data integrity.
• Conduct thorough testing and validation of data processes to maintain high data quality and reliability.
• Troubleshoot and resolve data-related issues to ensure uninterrupted business operations.
• Document data processes, workflows, and solutions for knowledge sharing and team collaboration.
• Stay updated with emerging technologies and best practices in data engineering and development.
Required Qualifications
• 6+ years of data analysis experience
• Proficiency in SQL and a strong understanding of database systems.
• Experience with ETL and data orchestration tools such as Apache Airflow, AWS Glue, or Informatica.
• Familiarity with cloud platforms and services, particularly AWS.
• Knowledge of data warehousing and data integration techniques.
• Strong understanding of data processing and performance optimization.
Preferred Qualifications
• Bachelor's degree in a related field such as Statistics, Mathematics, Computer Science, or Business Analytics.
• Experience with federal data modernization or analytics programs.
**This position requires four days a week on site at customer location in Washington DC. **
Application deadline 5-29-2026
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The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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Sr. Data Engineer
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At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role:
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!
Primary Job Responsibilities:
- Expert at building unified data technologies to support advanced and automated business analytics
- Design, develop, document, and maintain database and reporting structures used to compile insights
- Define, develop, and review extract, load, and transform (ELT) processes and data modeling solutions
- Consistently evolve data processes and techniques following industry best practices
- Establish and help define reports and dashboards used to translate business data into insights, identify and prioritize operational improvement opportunities, and measure business KPIs against objectives
- Contribute to the ongoing improvement of quality assurance standards and procedures
- Mentor and guide less experienced data engineers, contributing to their professional development
- Stay updated with the latest data engineering technologies and trends and share your insights with the team
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Skills and Qualifications:
- Bachelor's degree in a related field (Computer Science, Engineering, etc.)
- 5+ years of experience in data engineering roles, including creating and maintaining data pipelines, data modeling, and data architecture
- 5+ years of experience in data cleansing, governance, and quality/integrity
- 5+ years of experience in advanced SQL, including expert-level skills in querying large datasets from multiple sources and developing automated reporting
- 5+ years of experience in Python, with skills for diverse components of data pipelines, including scripting, data manipulation, custom extract, transform and loads, and statistical/regression analysis
- Expertise in extract, transform, and load (ETL) and extract, load, transform (ELT) processes and pipelines, platforms (e.g. Airflow), and distributed messaging (e.g. Kafka)
- Experience with tools that capture and control data modeling change management (e.g. SQLMesh)
- Experience building data alerting & notifications (e.g. on deviations, thresholds, etc.)
- Experience building and managing tools for data observability and documentation (e.g. DataLab)
- Proficient in data storage solutions, data warehousing, and cloud-based data platforms (e.g. Snowflake)
- Proficient in deploying data pipelines to a cloud-native, containerized deployment/delivery environment (e.g. Kubernetes)
- Knowledge and applicable working experience establishing and ensuring data governance, data quality, and compliance standards
- Exceptional problem-solving skills and a track record of designing and optimizing data pipelines
- Excellent communication and collaboration skills with the ability to engage with non-technical stakeholders
- Experience working with enterprise technologies (CRM, ERP, Marketing Automation Platforms, Financial Systems, etc.) is a plus
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits + Compensation at PitchBook:
Physical Health
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
Emotional Health
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days
Social Health
- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
Financial Health
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
- Annual base salary: $140,000-$170,000
- Target annual bonus percentage: 10%
Working Conditions:
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
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Staff Software Engineer, Data Infrastructure
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Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally.
Team
As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.
We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.
Role
We are looking for a Staff Data Infrastructure Engineer to join our growing team, where you will have deep ownership over the data layer that underpins everything Peregrine does. You will architect and build the systems that ingest, store, and serve massive volumes of real-time operational data — enabling our customers to make critical decisions with speed and confidence.
This is a senior individual contributor role for someone who thrives on hard technical problems and brings the experience and judgment to shape foundational infrastructure decisions. You will tackle a wide range of complex challenges, including:
- Designing and operating a high-throughput, real-time data integration platform across diverse customer environments
- Architecting a scalable open table format layer for reliable data storage at petabyte scale
- Building and optimizing distributed data processing pipelines with Apache Spark and adjacent streaming technologies
- Driving performance, reliability, and cost efficiency across the full data infrastructure stack
- Collaborating with platform and product engineering teams to define data contracts, schemas, and integration patterns
- Establishing best practices, tooling, and patterns that raise the quality bar for data infrastructure across the organization
Our stack is constantly evolving but is built on AWS GovCloud, Apache Iceberg, Apache Spark, Apache Kafka, Airflow, Kubernetes, and more.
About You
- Deep passion for data infrastructure — you care about building systems that are correct, fast, and resilient at scale
- Thrive on ambiguity and are energized by defining the right solution to hard, open-ended problems
- Strong technical vision with the ability to translate complex data requirements into clean, durable infrastructure designs
- Desire to own significant portions of the data stack end-to-end, from ingestion to serving
- Committed to operational excellence — you build things you’re proud to operate
What We Look For
- 8+ years of experience architecting and operating large-scale data infrastructure systems in production environments
- Deep expertise with open table formats, particularly Apache Iceberg — including schema evolution, partitioning strategies, compaction, and time travel
- Extensive hands-on experience with Apache Spark for batch and streaming data processing at scale
- Strong background in real-time data integration and stream processing, leveraging technologies such as Apache Kafka, Apache Flink, or equivalents
- Solid experience with data pipeline orchestration using Airflow or similar tools
- Strong software engineering fundamentals in Python and/or Scala, with a track record of writing production-quality code
- Extensive experience with AWS or comparable cloud platforms, including S3-based data lake architectures
- Experience with Kubernetes and containerized deployment of data workloads
- Degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Located in San Francisco, New York, or Washington DC and open to working in office
Salary Range: $200,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)
Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Senior Software Engineer, Stats & Analytics - Data Platform
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
StackAdapt is a Remote First company, and we are open to candidates located anywhere in the United States or Canada.
What You'll Be Doing:
- Design and build scalable data pipelines, batch jobs, and streaming processes that power analytics and machine learning.
- Implement and optimize data storage systems (warehouses, lakes, analytical databases) with a focus on reliability, lineage, and governance.
- Develop tools and frameworks to support data orchestration, ETL workflows, and big data processing.
- Collaborate with engineers, data scientists, and product managers to align platform capabilities with business needs.
- Ensure data systems meet requirements for quality, scalability, and cost efficiency in cloud environments.
- Contribute to technical discussions, code reviews, and system design sessions.
- Take ownership of features and projects, driving them from concept to production.
What You'll Bring to the Table
- Strong background in software engineering, data engineering and distributed systems, ideally at scale (terabytes+).
- Hands-on experience with modern data warehouses, lakes, and compute/storage technologies (e.g., Snowflake, Pinot, TiDB, Spark, Airflow, Kafka, Trino/Presto).
- Experience designing and building robust ETL pipelines and real-time streaming processes.
- Solid understanding of data governance, lineage, and cost optimization in cloud environments.
- Ability to write clean, maintainable, and performant code in production systems.
- Strong problem-solving skills and ability to collaborate across teams.
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
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Data Scientist
Location: Woodinville, WA
Details: Hybrid
Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering innovative solutions and services that power our customers' most demanding applications and enable them to extract powerful insights from data that drive true business value.
We are looking for a versatile AI/ML Engineer who can lead, sell, design, and implement modern architecture for a diverse set of customers and industries. The ideal candidate would have deep experience in designing high-value advanced analytics solutions utilizing popular analytical frameworks running on Azure, GCP, and AWS. This position will be responsible for leading customer conversations, creating and presenting project architecture, and leading delivery.
Primary responsibilities include mentoring and leading other consultants, leading pre-sales workshops with finance and technology executives to uncover innovative ways to apply advanced analytics techniques to solve business problems in new ways. The role can be hands-on when necessary but should have Direct delivery experience to recommend technologies, solutions, and help troubleshoot.
Responsibilities:
- Drive growth through business development, resourcing, and quality delivery.
- Monitor business impact and value generation of analytics projects.
- Help create go-to-market strategies around advanced AI/ML Services and hardware.
- This role will be directly involved in the business development process, delivering customer demos to show the value of how data can drive business goals.
- Create proposals and SOWs.
- Work closely with sales and other practice leaders to recommend strategies to grow our data science services.
- Manage full sales cycles, end-to-end, for high potential clients.
- Evaluate business impact and priority initiatives for our portfolio of managed analytics customers.
- Talent Leadership and Product Ownership.
- Help with planning and staffing for data science projects.
- Provide support for project managers through developing tasks, estimates, and dependencies to meet expectations.
- Train the data science team on best practices and new technology initiatives.
- Anticipate the impact of new technologies and frameworks and help create compelling data science offerings to our clients.
Skills you bring with you:
- Knowledge of how to use data science/AI/ML techniques in operations to impact corporate financials.
- Working knowledge of DevOps process (CI/CD) applied to data science and ML ops.
Qualifications:
- Bachelor’s or Master’s Degree in Advanced Math, Data Science, or Computer Science.
- 5-8+ years of experience with advanced data science techniques, frameworks, libraries, and technologies including but not limited to:
- Tensorflow, KubeFlow, Python, R, Keras, NumPY, SciKit, PyTorch, SQL.
- Azure ML, Vertex AI, SageMaker, Databricks, Big query/Redshift/Snowflake
- ELT/ELT/Pipeline Design, Data Modeling, Spark, Airflow/DBT and API Integration Patterns
Nice to have:
- LLM’s, RAG, Vector Databases, Prompt Evaluation, GenAI Solution Patterns
The base salary range for this full-time position in the US is $130,000 - $140,000 annually + bonuses + benefits. Redapt salary ranges are determined by role, level, and location. The salary range displayed in each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Please note, the base pay offered may vary within the range depending on a wide array of factors including but not limited to work location, job related knowledge/skills, relevant education/training, and level of experience. Please note that the compensation details listed in the US role postings reflect the base salary only, and do not include bonuses or benefits.
Equal Employment Opportunity:
Redapt is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. All employment is decided based on qualifications, merit, and business need.
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Manager, BI + Analytics Engineer
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Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally.
The Role
As Peregrine’s Manager, BI + Analytics Engineer, you’ll play a foundational role in shaping how data is modeled, accessed, and used across the company. You will own the architecture and execution of our internal analytics stack, partnering closely with stakeholders across Product, Sales, Finance, and Operations to turn raw data into insight and insight into action.
This is a highly cross-functional and high-visibility role — you’ll work directly with leaders across the business to define KPIs, automate workflows, and level up our data infrastructure. If you're a hands-on builder who thrives in ambiguity, loves translating business questions into clean data pipelines, and wants to shape the future of data at a mission-driven company, we want to hear from you.
What You'll Do
- Own and scale our data warehouse to support a fast-growing Go-To-Market and product ecosystem
- Build and maintain ETL pipelines using dbt to integrate data from tools, apps, and third-party platforms
- Design clean, reusable data models that power reporting across Sales, Marketing, Product, and Finance
- Create dashboards and analysis that uncover trends in revenue, product usage, and customer behavior
- Set up data quality checks and alerts to ensure accurate, timely, and trustworthy data
- Support planning and forecasting by partnering with teams to define KPIs and build forward-looking models
What We Look For
- 4+ years of experience as a BI Engineer, Analytics Engineer, or Data Engineer in a fast-growing tech environment
- Strong command of SQL and data modeling best practices
- Proficiency in dbt, modern data warehouses (Snowflake/BigQuery), and orchestration tools (Airflow, Prefect)
- Experience with BI tools such as Looker, Hex, Mode, Sigma, or similar
- Strong product and business sense — you know how to balance technical purity with speed, scalability, and impact
- Comfort working autonomously and owning projects end-to-end
- Excellent communication skills with an ability to translate complex concepts to non-technical audiences
- Located in Washington, D.C. and willing to work in office four days a week
Salary Range: $150,000 - $180,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)
Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific work location. Information on the benefits offered is here.
Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Threat Collections Engineer
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About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We are looking for a Threat Collections Engineer to join our Threat Intelligence team. In this role, you will build the infrastructure that powers our threat discovery capabilities—integrating external data sources, developing detection systems for automated lead generation, and creating internal tooling that scales our investigators' impact.
This is a foundational engineering role on a small, high-impact team. You will take projects from proof-of-concept to production, work closely with investigators to understand their needs, and help scale what may become a multi-person collections function.
Responsibilities:
- Build automated detection systems that use disparate signals to identify abusive behavior.
- Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes
- Develop and maintain YARA rule infrastructure, including tools for writing, validating, and testing rules against real data
- Create integrations with external threat intelligence platforms (e.g. VirusTotal, Censys, Urlscan) via MCP servers to enable multi-source correlation during investigations
- Build data pipelines that ingest intelligence from RSS feeds, CTI news sources, and partner sharing, using Claude to extract TTPs and generate targeted hunting queries
- Develop behavioral analytics capabilities using DBT-based frameworks and create searchable audit logging infrastructure
- Establish feedback loops with investigators to tune detection systems and reduce false positives
- Scrape and normalize data from external sources to feed threat detection and enrichment workflows
You may be a good fit if you:
- Have strong coding proficiency in Python and SQL for building detection logic, data pipelines, and automation
- Have experience with data pipeline orchestration tools (Airflow, DBT, or similar)
- Have familiarity with threat intelligence concepts including IOCs, YARA rules, and threat correlation techniques
- Have experience integrating external APIs and building data ingestion systems
- Can translate investigator needs and workflows into technical requirements
- Are comfortable building v0 systems and iterating based on user feedback
- Have strong communication skills for working closely with non-engineering stakeholders
Strong candidates may also have:
- Experience with threat intelligence sharing frameworks (e.g. MISP, STIX/TAXII)
- Background in cyber threat intelligence, security operations, or abuse detection
- Experience building MCP servers or similar tool integrations for AI systems
- Familiarity with web scraping and data extraction at scale
- Experience with behavioral analytics or anomaly detection systems
- Understanding of LLM capabilities and how to leverage them for automation
- A Top Secret Clearance
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
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Applied AI Engineer - Federal (TS Required)
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About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them - either by leveraging Snorkel Flow or developing custom approaches when needed. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel Flow’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end.
Main Responsibilities
- Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform.
- Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows.
- Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role.
- Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow.
- Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup.
- Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices.
- Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI.
- Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams.
- Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI.
- As part of our team, you will have the opportunity to work on all aspects of complex National Security problems.
- Annual travel up to 25%.
Preferred Qualifications
- B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.
- 3+ years of customer-facing experience in the design and implementation of AI/ML solutions.
- Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow).
- Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI).
- Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement.
- Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Ability to work in a fast-paced environment and balance priorities across multiple projects at once.
- Experience reviewing and drafting responses to federal Requests for Comment (RFCs), Requests for Information (RFIs), Requests for Proposals (RFPs), etc. is preferred
- Experience working across the Civilian, DOD and NATSEC agencies, inclusive of experience in Federal Law Enforcement, Healthcare, Financial/Regulatory and Military operations and logistics
- Candidates must have an active TS (Top Secret) Clearance
Compensation range $170K - $300K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Locations
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Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Sr. Machine Learning Engineer
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At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role:
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!
As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook’s wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.
You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy.
Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources, and applying ML to enrich our datasets with predictive and generative intelligence. As a senior engineer, you will take ownership of key technical components and ensure that our systems meet the highest standards of performance, reliability, and security.
Primary Job Responsibilities:
- Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities
- Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards
- Support a culture of technical excellence by mentoring peers, sharing knowledge, and participating in code and design reviews. Promote innovation and continuous improvement through collaborative engineering practices
- Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams
- Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals
- Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook’s AI capabilities
- Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects
- Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices
- Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Skills and Qualifications:
- Bachelor’s or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field, advanced degree preferred
- 6+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction
- Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch
- Experience delivering production-grade GenAI or LLM-based systems with measurable business impact
- Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus
- Deep proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake
- Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus
- Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes
- Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions
- Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams
- Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage
- Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits + Compensation at PitchBook:
Physical Health
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
Emotional Health
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days
Social Health
- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
Financial Health
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
- Annual base salary: $170,000-$240,000
- Target annual bonus percentage: 10%
Working Conditions:
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
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Machine Learning Engineer
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At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role:
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!
As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook’s wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.
You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy.
Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources and applying ML to enrich our datasets with predictive and generative intelligence.
Primary Job Responsibilities:
- Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities
- Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards
- Contribute to a culture of technical excellence by sharing knowledge, pairing with teammates, and actively participating in code and design reviews. Provide situational guidance to junior engineers and contribute to team best practices
- Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams
- Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals
- Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook’s AI capabilities
- Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects
- Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices
- Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Skills and Qualifications:
- Bachelor’s degree in Computer Science, Mathematics, Data Science, or related technical field, advanced degrees are preferred
- 2+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction
- Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch
- Experience delivering production-grade GenAI or LLM-based systems with measurable business impact
- Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus
- Proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake
- Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus
- Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes
- Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions
- Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams
- Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage
- Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits + Compensation at PitchBook:
Physical Health
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
Emotional Health
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days
Social Health
- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
Financial Health
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
- Annual base salary: $125,000-$180,000
- Target annual bonus percentage: 10%
Working Conditions:
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
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Engineering Manager, Machine Learning Operations
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At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role:
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!
As an Engineering Manager, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for leading and managing PitchBook’s MLOps team. The team is responsible for enabling PitchBook’s Machine Learning teams and practitioners by providing tools and golden paths that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). Your team’s work will support projects in a variety of domains, including Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression. Your role will be critical in driving AI (Artificial Intelligence) innovations across the organization.
Primary Job Responsibilities:
- Lead the MLOps team direction and execution (operations, processes, practices, and standards), working closely with engineering leadership and product management to craft roadmaps, define KPIs, and achieve success criteria
- Ensure effective communication and coordination across geographically dispersed teams. Oversee the enablement of scalable solutions that meet high standards of reliability and efficiency
- Champion the adoption and integration of ML best practices at PitchBook, fostering a culture of innovation and experimentation to drive the development of high-quality AI products
- Serve as a force multiplier by removing roadblocks, implementing process improvements, providing frequent and actionable feedback to team members, and building practices for ideation and innovation
- Bridge the gap between business/product needs and execution, including building and delivering on group-level objectives and key results, identifying resource needs, and building execution plans for initiatives
- Ensure MLOps roadmap items are delivered on time and have exceptional quality
- Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities
- Describe technical content in intuitive ways for a variety of audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with executive stakeholders
- Establish and drive a culture founded on creating belonging, psychological safety, candor, connection, cooperation, and fun
- Understand how to apply agile, lean, and principles of fast flow to team efficiency and productivity
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Skills and Qualifications:
- Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Data Science, or a related field
- 3+ years of experience in an engineering leadership role, managing globally distributed teams
- 6+ years of experience in hands-on development of Machine Learning algorithms
- 6+ years of experience in hands-on deployment of Machine Learning services
- 6+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
- 6+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
- Experience with at least 70%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, and KubeFlow
- Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
- Experience in cloud-native delivery with a deep practical understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions
- Proficiency in GitOps and creation/management of CI/CD pipelines
- Demonstrated experience building and using SQL/NoSQL databases
- Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools
- Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
- Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions
- Ability to be a team player who can also work independently
- Experience working across multiple development teams is a plus
- Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits + Compensation at PitchBook:
Physical Health
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
Emotional Health
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days
Social Health
- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
Financial Health
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
- Annual base salary: $240,000-$300,000
- Target annual bonus percentage: 15%
Working Conditions:
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
#LI-TK1
#LI-Onsite
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Data Scientist
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Since our founding, we have redefined how people approach small-dollar loans—delivering over $1 billion in funding to more than 1.5 million customers, issuing over 4 million loans, and saving our customers more than $650 million.
At Possible, we’re building a new type of consumer finance company; one that helps our customers stay out of debt rather than profit from their staying in it. We are a Public Benefit Corporation with the mission to help communities unlock economic mobility through affordable credit products crafted to improve financial health for generations. Join the team that’s making our goal a reality.
Team Introduction
Our data science team sits at the center of a growing company, building the models, tools, and analytical infrastructure that power how Possible makes decisions, monitors risk, and operates with rigor at scale. We are seeking a Data Scientist to work at the intersection of analytics, model governance, and internal tooling – growing our capacity to support the teams and systems that help Possible move fast and make good decisions.
The Role
You will own a structured framework to evaluate new data sources and modeling techniques. Your analyses will include clear assumptions that guide our data vendor budget and investment decisions. You will build out model monitoring and governance infrastructure — turning it from a reactive compliance exercise into a proactive utility. Working cross-functionally, you'll collaborate with internal teams to develop analytical tools and automations that ease bottlenecks. This enables other teams to access data independently and find answers without relying on advanced analytics repeatedly.
What You'll Bring
Must-Have
- 2–4 years of hands-on experience in data science or analytics
- Strong Python and SQL skills for analysis and automation
- Proven statistical foundation: you can frame a hypothesis, develop a meticulous test, and communicate results — including their limitations — to non-technical partners
- Strong data visualization skills
- A service mentality: you build things people actually use, you get happiness from unblocking others, and you know how to balance rigor with shipping
Preferred
- Background in consumer finance or credit risk
- Experience with model governance or model validation
- Experience with AI or LLM platforms in an applied context
- Track record supporting cross-functional teams with analytical work
- Testing or QA mentality — validating that what was built does what it should
Nice-to-Have
- Experience with dbt or Airflow
- Dashboard design and management experience
This is a hybrid position with a shared in-office schedule of Monday, Tuesday, and Thursday. Our office is centrally located in downtown Seattle.
The compensation range for this role is $161,000 to $175,000. In addition to base salary, We also offer significant stock options, comprehensive benefits, a bonus plan, commuter benefits, and an excellent office space with complimentary drinks and food options.
With the backing of our venture investors— Union Square Ventures, Canvas Ventures, Euclidean Capital, and Unlock Venture Partners — a dedicated following of hundreds of thousands of customers, and an extraordinary team, we are unwavering in our fight for financial fairness. As one of only a few FinTech Public Benefit Corporations, we’ve baked our dual dedication to building a profitable and socially impactful company into our charter; we only succeed when our customers do too. Give us a shout if you’d like to help us ship financial products that protect consumers from predatory lending practices and promote economic health.
Possible Finance is dedicated to financial fairness and community empowerment. We welcome diverse perspectives and experiences to help us achieve our mission of unlocking economic mobility for generations to come.
Learn more about us as a Public Benefit Company.
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Software Engineer, Financial Systems
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Software Engineer, Financial Systems
Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington
About the Role
At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.
We are eliminating the manual work that slows down operations. We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention. You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.
What You'll Do
- Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
- Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
- Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
- Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
- Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.
Tech Stack
- Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
- Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
- Languages: Python, Go, SQL, TypeScript/Node.js
- Infrastructure: AWS, Terraform, Docker, GitHub Actions
- AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration
What You'll Need
- Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
- 8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
- Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
- Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
- Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
- Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.
Bonus Points For
- Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
- Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
- Track record building AI-powered automation, workflow orchestration, or internal tools.
- M.S. in Computer Science.
Compensation
The base pay range for this position is $198,000 - $271,000 USD annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
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Senior Software Engineer, AI
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Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally.
Team
As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.
We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.
Role
As a leader in our new AI team, you’ll be instrumental in delivering differentiated value to our customers. This team is charged with crafting powerful, intuitive user experiences powered by generative AI. You'll unlock entirely new ways for users to interact with our platform—whether through natural language commands or by enabling AI agents to handle complex tasks on their behalf. Your work will shape safe, impactful AI-driven features that help customers solve real-world problems with greater speed and ease.
Your scope of work will include a wide range of complex challenges, including scaling our platform to handle terabytes of data ingested from a variety of sources, efficiently querying and notifying users on this data in realtime, and optimizing search algorithms to serve results quickly.
Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.
About you
- Desire and drive to own large portions of the application from start to finish
- Passion for crafting and shipping software solutions that delight users
- Thrive on ambiguity and love taking on hard problems
- Excellent technical vision with the ability to synthesize product requests into strong and reliable software components
What we look for
- Understanding of best practices for using generative AI responsibly, with bonus experience applying LLMs to enhance user experience
- Degree in Computer Science or a related field, or equivalent experience
- 3+ years of experience working with cross-functional software development teams
- Experience shipping and iterating on production-grade software components professionally and / or in the open-source community
- Ability to write robust, well tested, and well-designed code that frequently gets deployed to users
- Solid understanding of architecting and scaling distributed software systems
- Strong best practices in modern software development and comfort navigating large codebases
- Located in Washington, D.C. and open to working in office
Salary Range: $130,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)
Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Senior Software Engineer, Identity
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Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally.
Team
As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.
The Identity team consists of product-oriented engineers working at the intersection of high-scale data and thoughtfully designed UX. This team is responsible for enabling collaboration and sharing across our platform, managing data permissions, and defining user, and organization management and collaboration. In our unique space, how, when, why, and what data is shared is central to our customers’ success.
We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.
Role
We are looking for strong developers to join our small but growing team. As a Senior Software Engineer, you’ll have vast ownership across our stacks, making decisions that will have an outsized impact for years to come.
You’ll take on some of our most complex challenges—like designing scalable permission systems to manage access to terabytes of data across thousands of organizations. You’ll help build intuitive controls that let organizations decide what data to share, when to share it, and with whom. You’ll also architect frameworks for secure collaboration, enabling seamless partnerships while maintaining data sovereignty and compliance. And you’ll create advanced sharing mechanisms that strike the right balance between openness and security to unlock the full potential of cross-organizational collaboration.
Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.
About you
- Desire and drive to own large portions of the application from start to finish
- Passion for crafting and shipping software solutions that delight users
- Thrive on ambiguity and love taking on hard problems
- Excellent technical vision with the ability to synthesize product requests into strong and reliable software components
What we look for
- Degree in Computer Science or a related field, or equivalent experience
- 5+ years of experience working with cross-functional software development teams
- Experience shipping and iterating on production-grade software components professionally and / or in the open-source community
- Ability to write robust, well tested, and well-designed code that frequently gets deployed to users
- Solid understanding of architecting and scaling distributed software systems
- Strong best practices in modern software development and comfort navigating large codebases
Located in San Francisco, New York, or Washington DC and open to working in office
Salary Range: $130,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)
Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Software Engineer, MLOps - Pricing
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Software Engineer ML Ops, Pricing (Senior)
Seattle, WA
About the Team & Role
The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business. Our services and data infrastructure are mission-critical to pricing decisions and automation, and they must be fast, accurate, and resilient—because even small improvements can drive major business impact.
We’re looking for a senior-level Software Engineer to join our Pricing & ML team, leading the design and evolution of the platform and tooling that productionize the machine learning models behind our pricing engine. This role is ideal for an engineer who enjoys working close to data and models, has meaningful experience with ML workflows, and wants to shape technical direction as well as ship high-impact systems. Our models are pragmatic and straightforward—we prioritize value, reliability, and iteration speed over complex research systems.
In this role, you’ll work side-by-side with backend software engineers, data scientists, ML engineers, product managers, and partner engineering and operations teams to turn prototypes and ideas into robust, scalable, and observable production systems. You’ll own high-impact initiatives end-to-end, mentor other engineers, and have significant influence over how our pricing platform evolves and how we shape the future of real estate.
What You’ll Do
- Lead the design and implementation of services, tooling, and workflows that enable reliable training, deployment, and monitoring of pricing and ML models
- Work closely with researchers and analysts to convert model prototypes into clean, testable, production-ready Python code and systems
- Own and operate model pipelines end-to-end — including data ingestion, training, validation, versioning, deployment, and monitoring
- Design and maintain workflows that support the full ML lifecycle: experimentation, training, evaluation, deployment, and iteration
- Develop and optimize data access patterns and SQL queries over large, complex datasets
- Implement robust automation for key ML lifecycle workflows (e.g., scheduled retraining, rollbacks, A/B tests, canary releases)
- Drive improvements in reliability, observability, performance, and cost-efficiency across ML pipelines and model-serving environments
- Proactively address real-world challenges like data drift, model decay, and changing market conditions in the real estate domain
- Contribute to and help define shared ML infrastructure, patterns, and best practices across the Pricing & ML team
- Lead code reviews and technical design discussions; mentor and support other engineers on ML-adjacent work
- Participate in and help improve on-call and incident response processes for ML systems
What You’ll Need
- 8+ years of experience in software engineering or 6 Years with a Masters or ML engineering, including substantial work with ML-adjacent or production ML workflows
- Strong proficiency in Python, with a track record of writing maintainable, modular, and well-tested production code
- Solid experience working with SQL (queries, joins, indexing, and performance optimization)
- Proven experience owning and operating data pipelines and/or model training/serving pipelines in production or high-stakes environments
- Deep familiarity with the end-to-end ML lifecycle (training, evaluation, deployment, monitoring, and iteration)
- Demonstrated ability to make and communicate technical design decisions and tradeoffs across multiple stakeholders
- Strong collaboration and communication skills, especially when working with data scientists, researchers, and cross-functional partners
- A bias toward impact, learning, and pragmatic solutions in a fast-moving, high-stakes domain
Focus:
- - ML infrastructure and operations rather than model research.
- - Building, deploying, and maintaining ML pipelines and systems.
- - All roles are expected to be hands-on coding roles.
- - All MLOps roles are expected to be Seattle-based.
Nice to Have
- Experience working on ML systems in business-critical environments (e.g., pricing, forecasting, logistics, marketplaces, risk)
- Familiarity with ML ops concepts and tools (e.g., model serving frameworks, feature stores, experiment tracking, model registries)
- Experience with tools such as MLflow, Airflow, Spark, or Delta Lake
- Experience monitoring model performance in production (e.g., drift detection, quality alerts, dashboards)
- Experience with streaming / event-driven systems (e.g., Kafka) or scheduling/orchestration tools
- Comfort working in a Linux-based, cloud-hosted environment (e.g., AWS)
- Interest in real estate or other messy, high-stakes domains with imperfect data
The base pay range for this position is $205,000 - $281,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
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Staff Data Engineer
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1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that.
But we're going further. Over 70,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens.
We're a Series D company with $325M+ in funding (a16z, Accel, GV, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.
About Data Engineering at Headway
Headway is looking for a Staff Data Engineer to help us get closer to executing our mission: to create access to affordable, quality mental healthcare across the United States.
The Data Engineering Team is the foundational engine of our data-driven organization. We are a high-impact group of engineers focused on delivering reliable, high-quality data assets at enterprise scale. Our work is centered on transforming raw data into business-ready intelligence through robust ETL/ELT pipelines, advanced data modeling, and rigorous data quality frameworks. We operate with a strong engineering discipline, partnering closely with Data Scientists, Analysts, and core Software Engineering teams to ensure data is not just available, but completely trustworthy for every critical decision and product feature.
About this role
As a Staff Data Engineer, you will be a hands-on technical leader, architect, and mentor, responsible for defining the future state of our data infrastructure. This role focuses on setting architectural direction, establishing organization-wide data standards, and driving the design of highly scalable and optimized data models. You will lead complex, multi-functional initiatives, focusing on data quality governance and the maturity of our pipelines. You will be expected to influence our technology choices, mentor other engineers, and act as the primary technical interface between the Data Engineering team and senior stakeholders across the business.
You Will Love This Role If You Have:
- 9+ years of experience in data engineering, with a proven track record of architecting and shipping progressively more complex, large-scale data products.
- Expert-level proficiency in our modern data stack, including Snowflake, dbt, Apache Airflow, and Python. You are capable of defining best practices and architectural patterns across these tools.
- Deep mastery of advanced data modeling techniques and their application within production systems to achieve high performance.
- Architectural Ownership: Proven ability to define the technical roadmap for the entire data platform, working horizontally to influence architectural decisions and technical debt management across multiple engineering teams.
- Engineering Elevation: A strong track record of mentoring, coaching, and elevating the technical skills, code quality, and engineering maturity of other data engineers.
- 2+ years of Marketplace Experience: Prior experience in the marketplace or two-sided platform is a significant plus.
Compensation & Benefits:
The expected base pay range for this position is $212,000 - $265,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.
We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.
- Benefits offered include:
- Equity compensation
- Medical, Dental, and Vision coverage
- HSA / FSA
- 401K
- Work-from-Home Stipend
- Therapy Reimbursement
- 16-week parental leave for eligible employees
- Carrot Fertility annual reimbursement and membership
- 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
- Flexible PTO
- Employee Assistance Program (EAP)
- Training and professional development
We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.
Headway participates in E-Verify. To learn more, click here.
A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.
Ready to apply?
Apply to Headway
Senior Data Engineer
Share this job
1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that.
But we're going further. Over 70,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens.
We're a Series D company with $325M+ in funding (a16z, Accel, GV, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.
About the Data Engineering Team
Headway is looking for a Senior Data Engineer to help bring us closer to our mission: creating access to affordable, quality mental healthcare across the United States.
Data is foundational to that mission. It powers everything from critical business decisions to the systems that support patients, providers, payers, and internal teams. The Data Engineering team builds and maintains the infrastructure that makes this possible. We partner closely with stakeholders across the company - including Finance, Insurance Systems, Analytics, Product, and Data Science - to ensure that Headway's data platform is scalable, reliable, and secure.
As a Senior Data Engineer, you'll help shape the future of our data architecture. You’ll work cross-functionally to design and implement robust data pipelines, define and uphold data governance standards, and ensure our platform is built to meet the growing needs of the business.
In this role, you will:
- Design, build, and maintain scalable data pipelines and infrastructure to support internal stakeholders and core business functions
- Define, develop, and refine data governance, monitoring, and quality standards across the company
- Partner with Product and Engineering to advocate for best practices in data engineering and ensure data needs are addressed early in the product lifecycle
- Work cross-functionally with Analytics, Data Science, and Infrastructure to continuously evolve Headway’s data architecture
- Own and drive technical decisions across the data platform, contributing to everything from performance optimization to infrastructure-as-code
You will love this role if you have:
- 6+ years of experience as a data engineer, with a track record of building scalable systems and solving complex data problems in a fast-paced tech environment
- Proficiency in Python and SQL
- Experience with tools and services that encompass a modern data platform stack, such as Snowflake, dbt, Airflow, Fivetran, and Terraform
- Familiarity with visualization tools like Metabase or Jupyter Notebooks is a plus!
- A pragmatic approach to building for both today’s needs and tomorrow’s scale
- A strong sense of ownership and a bias toward action, especially in the face of ambiguity
- Empathy for your teammates and stakeholders, and a collaborative mindset that values working across disciplines
- Passion for Headway’s mission to make mental healthcare more accessible and affordable
Compensation and Benefits:
The expected base pay range for this position is $180,000 - $225,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.
We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.
- Benefits offered include:
- Equity Compensation
- Medical, Dental, and Vision coverage
- HSA / FSA
- 401K
- Work-from-Home Stipend
- Therapy Reimbursement
- 16-week parental leave for eligible employees
- Carrot Fertility annual reimbursement and membership
- 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
- Flexible PTO
- Employee Assistance Program (EAP)
- Training and professional development
We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.
Headway participates in E-Verify. To learn more, click here.
A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.
Ready to apply?
Apply to Headway
Staff Software Engineer
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Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally.
Our Team
As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.
We’re looking for a Staff Software Engineer to join our core engineering teams. You’ll work cross-functionally with design and product management to build systems that are robust, scalable, and user-centered. Our teams tackle a range of challenges, from enabling real-time user collaboration on detailed maps to building high-scale backend architecture for ingesting billions of data points.
We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.
Role
We’re looking for a Staff Software Engineer to join our growing team and drive impactful projects, foster an inclusive team culture, and lead technical decision-making.
This role is for someone who thrives in both people management and hands-on technical leadership. You’ll develop a high-performing team, guide them through complex technical challenges, and ensure their work aligns with our business priorities. The ideal candidate will balance mentorship while maintaining high standards in technical execution.
You’ll drive impactful work that delivers value to our customers, from aiding emergency responders during a hurricane to diffusing complex organized crime. We are building innovative capabilities that enable new workflows for our customers. As a leader, you will ensure that we execute well on these initiatives.
Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.
About you- Desire and drive to own large portions of the application from start to finish
- Passion for crafting and shipping software solutions that delight users
- Thrive on ambiguity and love taking on hard problems
- Excellent technical vision with the ability to synthesize product requests into strong and reliable software components
- Degree in Computer Science or a related field, or equivalent experience
- 8+ years of experience working with cross-functional software development teams
- Experience shipping and iterating on production-grade software components professionally and / or in the open-source community
- Ability to write robust, well tested, and well-designed code that frequently gets deployed to users
- Solid understanding of architecting and scaling distributed software systems
- Strong best practices in modern software development and comfort navigating large codebases
- Located in Washington, D.C. and open to working in office
Salary Range: $200,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)
Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.
Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Ready to apply?
Apply to Peregrine Technologies
Senior Software Engineer
Share this job
Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally.
Our Team
As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.
We’re looking for a Senior Software Engineer to join our core engineering teams. You’ll work cross-functionally with design and product management to build systems that are robust, scalable, and user-centered. Our teams tackle a range of challenges, from enabling real-time user collaboration on detailed maps to building high-scale backend architecture for ingesting billions of data points.
We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.
Role
We are looking for strong developers to join our small but growing team. As a Senior Software Engineer, you’ll have vast ownership across our stacks, making decisions that will have an outsized impact for years to come.
You’ll take on some of our most complex challenges—like designing scalable permission systems to manage access to terabytes of data across thousands of organizations. You’ll help build intuitive controls that let organizations decide what data to share, when to share it, and with whom. You’ll also architect frameworks for secure collaboration, enabling seamless partnerships while maintaining data sovereignty and compliance. And you’ll create advanced sharing mechanisms that strike the right balance between openness and security to unlock the full potential of cross-organizational collaboration.
Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.
About you- Desire and drive to own large portions of the application from start to finish
- Passion for crafting and shipping software solutions that delight users
- Thrive on ambiguity and love taking on hard problems
- Excellent technical vision with the ability to synthesize product requests into strong and reliable software components
- Degree in Computer Science or a related field, or equivalent experience
- 4 + years of experience working with cross-functional software development teams
- Experience shipping and iterating on production-grade software components professionally and / or in the open-source community
- Ability to write robust, well tested, and well-designed code that frequently gets deployed to users
- Solid understanding of architecting and scaling distributed software systems
- Strong best practices in modern software development and comfort navigating large codebases
- Located in Washington, D.C. and open to working in office
Salary Range: $130,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)
Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.
Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Ready to apply?
Apply to Peregrine Technologies