About the team + role

We are looking for an intellectually curious and enthusiastic individual to help the organization prepare for continued rapid growth by having a good understanding of the impact of the financial markets and risks on Robinhood. This role is responsible for monitoring corporate liquidity risks and investments, developing financial risk models, forecasting key balance sheet items and providing deep dive analysis into financial market drivers of the business.

This role suits those with a bias towards action and impact, who believe in end to end execution and accountability. You are the perfect mix of analytical, technical, operational, and creative. You are a clear, confident communicator who loves taking a complicated problem, decomposing it, and building data driven models, then turning those models into processes and reports. 

What you’ll do

• Monitor and report on financial risks across the firm on a daily basis, ensuring timely escalation of material exposures
• Conduct deep-dive quantitative analyses into liquidity risks emerging across the Robinhood ecosystem   
• Enhance and maintain liquidity risk models and forecasting frameworks to support proactive risk management
• Partner with Data Science and Engineering teams to design and deliver dashboards, automated alerts, and data pipelines that surface capital, liquidity, and counterparty credit risks for the Treasury function
• Collaborate with Finance and Product teams to assess emerging risks associated with new products and business initiatives

What you bring

• Bachelor's degree in mathematics, computer science, engineering or a related field.
• 1–3 years of experience in data analytics, risk management, or a comparable analytical role
• Strong quantitative and problem-solving skills, with the ability to communicate complex findings clearly to non-technical stakeholder
• Solid grounding in financial risk methodologies including Value-at-Risk, stress testing, scenario analysis, and attribution modeling
• Understanding of macroeconomics, financial markets, financial instruments, trading strategies, and investment theory
• Advanced proficiency in SQL and Python
• Ability to build and own process from the ground up
• Demonstrated ability to design and own end-to-end processes in ambiguous, fast-moving environments

Bonus points:

• Advanced graduate degree such as an MFE or in a similar technical field preferred.
• Experience developing and deploying production-grade financial models in Python or R
• Familiarity with sophisticated financial instruments including derivatives, futures, leveraged products, and digital assets
• Experience with time series modeling and regression techniques
• Hands-on experience with AI/ML tooling and business intelligence platforms such as Superset or Looker
• Working knowledge of ETL pipelines and workflow orchestration tools such as Airflow

As a Senior Analyst, Analytics engineering, you’ll enable our analytics community to get the most out of our data. You’ll support analysts of varying levels of scope and experience by building, maintaining, and governing a data warehouse of operational and financial data.

You’ll keep us on the cutting edge of AI-driven analytics by partnering with Data Ops to develop a semantic layer and various agents to facilitate faster, better, and more interpretable insights.

We're seeking someone based near one of the following cities: San Francisco, Salt Lake City, Chicago, or New York City.

RESPONSIBILITIES

• Develop and maintain data models in Snowflake with dbt
• Design and build a testing and alerting framework to improve data quality
• Create data governance/democratization policies to support the broader analyst community
• Design and build a self-service analytics AI framework, including both the semantic modeling and tooling architecture

Partner with Data Engineering to optimize data staging in Snowflake

QUALIFICATIONS 

• 4+ years of experience in data engineering, analytics, or data science
• A bachelor’s degree in Computer Science, Information Systems, Statistics, or another quantitative field
• Advanced SQL knowledge (experience with dbt is a plus)
• Moderate Python knowledge (JavaScript knowledge is a plus)
• Experience building complex data pipelines using engineering best practices in platforms like Airflow or Prefect

Strong organizational discipline and quality assurance skills

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The annual salary hiring range for this position is $120,000 - $145,000 USD. 

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

#LI-NK1

Who Are We?

Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by integrating a connected platform enabled by smart data science to help patients access the care and attention that will inform better treatments and outcomes.

We envision a future where care teams and hospitals can be more effective, the healthcare system can be more efficient, and patients have a better care experience and more fulfilling lives.

This is precision cardiology, and we know it’s within reach.

What Will You Do?

The Overview

We are seeking an experienced Senior Backend Developer to join our Integrations team. In this role, you will own the design, development, and maintenance of backend services that connect our platform to external healthcare systems, partner APIs, ERP systems, and analytics tools. You will be a key technical contributor on a small, high-impact team responsible for ensuring that clinical and operational data flows securely and reliably across our ecosystem.

This is a senior individual contributor role with real architectural influence. You will work closely with the Integrations Lead to shape technical direction, mentor teammates, and make decisions that directly affect how our platform connects to the broader healthcare landscape. You will also collaborate cross-functionally with our Cloud, Data, Mobile, and Web teams.

The Specifics

• Integration Architecture: Design and implement integration patterns for connecting external healthcare systems, ERP platforms, and analytics tools to our internal services. You will own the technical approach for new partner integrations end-to-end
• Backend Development: Build and maintain scalable backend services using Kotlin and/or Python, with a focus on reliability, security, and clean API contracts.
• API Design & Collaboration: Design, document, and maintain RESTful APIs. Work directly with external partners and internal teams to negotiate data contracts, troubleshoot integration issues, and ensure interoperability.
• Cloud & Containerization: Deploy and manage containerized services on Google Cloud Platform (GCP) or similar, using Docker/Kubernetes (k8s).
• Data Pipeline & Warehouse Awareness: Collaborate with the Data Engineering team to ensure integrations feed cleanly into and from data pipelines, the data warehouse (BigQuery), and orchestration systems (Dagster). 
• Monitoring & Reliability: Implement monitoring, logging, and alerting for cloud services using tools like Datadog, or similar. Own the reliability of the integration layer, when data stops flowing, you are the first responder
• Security & Compliance: Ensure all integrations meet security best practices and regulatory requirements, particularly around sensitive healthcare data (SOC2, HIPAA, 21 CFR Part 11).
• Mentorship: Support the growth of more junior engineers on the team through code review, pairing, and architectural guidance.

Why Prolaio?

• Impactful Work: You will join in the fight to eradicate the world’s #1 killer by extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology. 
• Innovative Environment: You will be part of an organization doing something that’s never been done before.
• Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.
• Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.

Who You Are

Experience and Education

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 5-7+ years of experience as a Backend Engineer, Software Integration Engineer, Cloud Software Engineer or similar role, with at least 2 years focused on system integrations or API-heavy environments.

Technical Skills and Practice

• Backend Development: Strong proficiency in Kotlin and/or Python for building production-grade services and integrations.
• Integration Patterns: Deep experience with integration architecture, RESTful APIs, webhooks, message queues, ETL/ELT patterns, and data transformation.
• API Expertise: Experience designing, versioning, and securing APIs. Comfortable writing and maintaining API documentation. Familiar with authentication patterns.
• Cloud & Containers: Hands-on experience deploying and managing services on Google Cloud Platform (GCP) or similar, using Docker/Kubernetes (k8s).
• Databases: Comfortable working with both relational and NoSQL databases. Understands data modeling trade-offs in integration contexts.
• CI/CD & Testing: Hands-on experience implementing and maintaining CI/CD pipelines, along with unit, integration, and regression tests
• Monitoring and Debugging: Proficient with observability tools (Datadog, Prometheus, Grafana or similar). Able to diagnose issues in distributed systems across service boundaries.
• Security & Compliance: Working knowledge of security best practices and compliance frameworks (SOC2, HIPAA). Experience handling PHI or PII is a strong plus.
• Communication: Clear communicator who can explain technical decisions to non-technical stakeholders. Comfortable working directly with external partners.
• Remote Work Ability: Proven ability to work effectively in a remote, distributed team across time zones.
• Language Proficiency: Fluent in English.

Additional Qualifications (Nice to Haves)

• Experience with healthcare data standards (HL7, FHIR, DICOM).
• Familiarity with ERP integrations (NetSuite, SAP, or similar).
• Experience with data orchestration tools (Dagster, Airflow, Prefect).
• Prior experience in a healthcare or regulated industry (FDA, GxP).
• Familiarity with reporting and analytics platforms (Superset, Looker, or similar).

Why You’ll Love Working Here

• Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build.
• Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions.
• Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.
• Time to Recharge: Generous paid time off, sick leave, and company holidays.
• Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families.
• Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
• Plan for the Future: 401(k) plan to help you build long-term financial security.
• Care When You Need It: Easy access to telehealth and optional supplemental coverage for life’s unexpected moments.

Starting Salary is at $153,000.00 (Exact Compensation may vary based on skills, experience, and location)

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

While previous experience in the trading and finance industry is beneficial, we’re looking for talented software engineers with or without industry-specific expertise. We are open to remote workers for this role with the correct set of skils.

UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge.

UP - PI (Platform Infrastructure) Writes and operates systems that accelerate other development teams. They provide managed services to technologists across all of DRW, helping domain experts focus on their business-critical goals. They create software to connect people, projects, and information, preventing silos and opacity.

For the appropriate candidate, we are open to remote employees for this role.

Expectations:

• Write, maintain, operate and improve managed infrastructure services for technologists firm-wide
• Design and communicate standards for how centrally managed services can be used
• Support internal technologists with triage, education, and consulting
• Write, maintain, operate, and improve bespoke applications for internal use, focused on visibility and integration across teams.
• Enable other teams to focus on business domains.
• Influence outcomes through dozens of software teams.
• Broadcast contagious passion for developer experience.
• Consolidate diverse and redundant approaches to common problems.

Desirable Experience:

• Three or more years of high impact contributions in Software Engineering, DevOps, SRE, Platform Engineering or adjacent roles
• Expertise in operating infrastructure at scale
• Expertise in Kubernetes, Apache Airflow, Kafka, Redis
• Proficiency in at least one of Python, Go, Java, Ruby
• Comfort deploying software to the cloud and on-premises
• Proven success in elevating standards for non-functional requirements like security, observability, reliability, and speed of delivery
• Informed perspective about AI Agents as development tools
• Record of accomplishment of enhancing the capabilities of other engineers and teams

The annual base salary range for this position is $100k to $175k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-SK1] 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are seeking a Senior Software Engineer to join our Unified Platform (UP) team. UP consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. The UP-Finance team is responsible for building and operating the systems that underpin DRW's financial accounting, regulatory reporting, reconciliation, and cost basis infrastructure. This team is looking for application software developers who can help with our broad set of challenges.

What You'll Work On:

• Our systems span the full lifecycle from PnL calculation, general ledger classification, financial reporting and regulatory capital reporting. You'll work across a range of high-impact initiatives including:
  • Delivering on major regulatory, ERP, and financial reporting initiatives
  • Migrating infrastructure to Kubernetes and modernizing our deployment practices
  • Modernizing observability and monitoring across the finance platform
• You'll spend time upfront with accountants, financial analysts, and operations teams to deeply understand business problems, help stakeholders articulate requirements and test assumptions, then turn that into an architecture and a plan. You'll drive your project forward day-to-day, breaking big business requirements into shippable increments and delivering iteratively. This is not a role where you'll be handed detailed specs.
• You'll also spend time reviewing code, providing feedback on design documents, unblocking teammates, and participating in a support rotation.

You'll be right at home if:

• You break large, ambiguous problems into small increments and ship continuously.
• You care deeply about the business domain you work in. You want to understand why the numbers matter, not just how to move them through a pipeline.
• You're comfortable leading a project end-to-end: discovery, architecture, stories, implementation, deployment and support.
• You have strong opinions, loosely held. You challenge ideas constructively and welcome the same in return.
• You focus on reducing operational burden. You'd rather automate a problem away than manage it forever.
• You communicate complex technical topics clearly to both engineers and business partners, and you drive productive debates to resolution.

What we're looking for:

• 5+ years of professional software development experience
• Strength in at least one of Clojure or Python. We have a large Clojure codebase and a growing Python footprint across data pipelines. Experience with Ruby and PL/SQL is also valuable.
• Experience in the finance or accounting domain. You've worked with concepts like PnL, reconciliation, general ledger, regulatory reporting, or cost basis. You don't need to be a CPA, but you should be someone who leans into understanding the business.
• Strong system design skills. You can reason about architectural tradeoffs, distributed systems, and design for reliability and operability
• Solid understanding of relational databases: transactionality, indexing, performance tuning, and data modeling
• Experience building and operating production systems with modern infrastructure (containers, CI/CD pipelines, orchestration)
• A track record of mentoring engineers and contributing to engineering culture and the ambition to grow your technical leadership further

Even better if you bring:

• Deep Python expertise — data pipelines, scheduling, tooling. This is an opportunity to have outsized impact.
• Experience with Clojure or other Lisp-family languages
• Hands-on experience with observability tooling — structured logging, metrics, alerting, anomaly detection
• Familiarity with Oracle, Kafka, or Airflow
• Experience with Kubernetes, Docker, and infrastructure-as-code
• Background in reducing operational toil through automation and better system design

The annual base salary range for this position is $130,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-GV

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are seeking a Senior Software Engineer to join our Reference Data team in the Unified Platform (UP) organization as part of our efforts to build a mid-frequency platform. UP consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge.

As a Senior Software Engineer on one of the Unified Platform teams, you'll be part of a tight knit team of software engineers working closely with internal users (analysts, quants, traders) to develop innovative systems that enable research and trading. You'll experiment with emerging technologies to process data at scale. You’ll wrestle a mountain of data into human understandable insights. 

We care deeply about preserving a respectful and diverse team culture. We are a group of polyglots and technologists always seeking to find the right tool for each problem, even if that means learning something new or reviving something old. We value business impact and outcomes over process, and we make decisions based on data. We strive to adapt quickly as business priorities change. 

What you’ll do in this role:

• Build and evolve data and platform capabilities that support mid-frequency trading research workflows
• Partner closely with internal customers to understand their needs and build intuitive self-service tools
• Develop software for large scale data acquisition, storage, accessibility, and visualization
• Design and operate scalable pipelines and platforms using modern "big data" and lakehouse patterns
• Improve reliability, observability, performance, and ergonomics across platform services
• Learn about market microstructure, financial instruments, and markets in which DRW participates or wants to participate in

This could be a good fit if you:

• Are motivated to solve hard problems with deceptively simple solutions
• Think a lot about user experience and try to really understand end users’ jobs and pain points
• Think a lot about APIs, modular design and testing
• Love refactoring and keep trying until you find a better answer
• Enjoy making the “right way to do it” the path of least resistance
• Have made a random tool for yourself…and then peers ask for it…then other teams ask for it…
• Are fiercely proud of your project’s reliability, performance and ease of maintenance

What we need on the team:

• 5+ years of platform-level software development experience
• Strong computer science fundamentals; a degree in Computer Science or equivalent work experience
• Financial market & reference data familiarity — understanding instrument IDs, feed normalization etc.
• Experience building research platforms and/or supporting mid-frequency trading environments
• Comfort working within a globally-distributed team
• A background in some of the following a bonus:
• Big data technologies: Spark, Delta Lake, Iceberg, Kafka, Airflow and/or Argo Workflows
• SQL and data warehousing/lake querying patterns
• Cloud-native deployments: AWS, Docker, Kubernetes
• Observability: Splunk, Prometheus, Grafana, Sentry

Location: This position is hybrid and can sit in Chicago, London, or New York City.

The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-TL1] 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

About the Team

The DRW C/FICCO Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval.

About the Role

In this role you will:

• Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities.
• Take full ownership of data products, guiding them from initial concept through to stable production.
• Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability.
• Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems.
• Provide on-call support as needed.

Qualifications:

• A minimum of 2+ years’ experience using at least one of Python, Java, and C++, and can work comfortably in multiple programming languages
• A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments
• Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity
• Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment
• Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading
• Experience with Linux-based, concurrent, high-throughput, low-latency software systems
• Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster)
• Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases
• Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience

The annual base salary range for this position is $175,000 $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-BL1

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Senior Data Engineer on our Data Experience team, you will play an integral role in bringing vendor datasets into our data platform, governing our centralized data pipelines, consolidating data delivery infrastructure across disparate systems, and working alongside individual Traders, Quantitative Researchers, and Back-Office personnel to best utilize the firm’s data and platform tools.

Technical requirements summary:

• Have extensive experience designing and building data pipelines
• Have experience working within modern batch and streaming data ecosystems
• An expert in SQL and Java or Python
• Extensive knowledge of data modeling techniques
• Able to own the delivery of data products, working with analysts and stakeholders to understand requirements and implement solutions
• Able to contribute to project management and project reporting
• Have experience driving nontrivial data migrations across platforms
• Able to establish, follow, and enforce data modeling standards across a large ecosystem.

What you will do in this role:

• Model, build, and manage data products built atop DRW’s Unified Data Platform.
• Work closely with Data Strategists to determine appropriate data sources and implement processes that onboard and manage new datasets for trading, research, and back-office purposes.
• Design data governance processes that enable discovery, cost-sharing, usage tracking, access controls, and quality control of datasets to address the needs of DRW trading teams and strategies.
• Continually monitor data ingestion pipelines and data quality to ensure stability, reliability, and quality of the data. Design monitoring and quality control software and processes.
• Own the technical aspects of vendor ingestion pipelines, coordinating with vendor relationship managers on upcoming changes, performing routine data operations without breaking internal users, and contributing to the team’s on-call rotation to respond to unanticipated changes.
• Rapidly respond to user requests, identifying platform gaps, and self-service opportunities that make the user experience more efficient.

What you will need in this role:

• 7+ years of experience working with modern data technologies and building data-first products.
• Excellent written and verbal communication skills.
• Proven ability to work in a collaborative, agile, and fast-paced environment, prioritizing multiple tasks and projects, and efficiently handle the demands of a trading environment.
• Proven ability to deliver rapid results within processes that span multiple stakeholders.
• Strong technical problem-solving skills.
• Extensive familiarity with SQL and Java or Python, with a proven ability to develop and deliver maintainable data transformations for production data pipelines.
• Experience leveraging data modeling techniques and ability to articulate the trade-offs of different approaches.
• Experience with one or more data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.).
• Experience with multiple data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.) and knowledge of their associated trade-offs.
• Experience with multiple data formats and serialization systems (e.g. Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc.).
• Experience managing data pipeline orchestration systems (e.g. Kubernetes, Argo Workflows, Airflow, Prefect, Dagster, etc.), delving deeply into low-level details.
• Proven experience in managing the operational aspects of large data pipelines such as backfilling datasets, rerunning batch jobs, monitoring event throughput, and handling dead-letter queues.
• Prior experience triaging data quality control processes, correcting data gaps and inaccuracies.

The annual base salary range for this position is $200,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-TL1] 

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

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

Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity.

Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity.

You love the story that data can tell. We are looking for an experienced Product Analyst who balances technical excellence with strong product intuition. You’ll be responsible for the full spectrum of data storytelling—from overseeing data ingestion and refining semantic models to providing deep-dive quantitative analysis on feature engagement, adoption funnels, and business impact.

You will deliver insights through concise dashboards, detailed reports, and emerging conversational interfaces. This is a high-impact role where you will partner directly with Product leaders and Engineers to influence the direction of our platform, transforming raw event data into the insights that fuel our next phase of scale.

WHAT YOU’LL DO:

• Drive Insight Strategy: Proactively identify the reports, dashboards, and deep-dive analyses required to move the needle on product goals
• Build & Scale: Design and implement robust data models and visualizations that serve as the "source of truth" for the Product organization
• Analyze at Scale: Navigate and extract meaning from billions of mobile and digital messaging data points
• Full-Stack Analysis: Get "in the weeds" to pull, clean, and transform raw data into sophisticated findings, ensuring data integrity at every step
• Influence Roadmap: Present findings to Product and Engineering leadership to directly inform feature prioritization and strategy

WHO YOU ARE:

• Experienced: 5+ years in BI, Data Analysis, and Data Modeling, ideally within a B2B SaaS or high-growth tech environment
• SQL Expert: 5+ years of experience writing complex, performant queries
• Technical: Proficient in programming or scripting languages (Python or R) for data manipulation and analysis
• Visual Storyteller: Expert-level experience with modern visualization tools (e.g., Looker, Tableau, Databricks)
• Scientifically Minded: BA/BS in Statistics, Math, Economics, Computer Science, or a related technical discipline; firm grasp of advanced statistical techniques
• Curious & Autonomous: A fast learner and self-starter who doesn't wait for a ticket to find an answer

Ideally, you'll have: 

• Modern Data Stack Flow: Experience with dbt, Airflow, or modern cloud warehouses (Snowflake/BigQuery)
• NoSQL Familiarity: Experience querying NoSQL databases like MongoDB or Redis
• AI/LLM Interest: Experience using Claude Code, GitHub Copilot, or other LLM harnesses to accelerate development and insight generation
• Cross-Functional Leadership: A proven track record of working across departments to align data strategy with business needs

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $90,000 and $135,000/year with an expected On Target Earnings (OTE) between $104,000 and $156,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $98,000-$164,000/year, with an expected On Target Earnings (OTE) between $109,000-$183,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid

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

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

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

What We Do

• The Omnichannel team at The Trade Desk is pioneering a new approach to digital advertising — one built around telling a coherent story through ads, using the media best suited for each chapter. We work across the full ad tech stack, from identity to measurement to bidding, to deliver unified campaign experiences that span screens, formats, and moments. Our Software Engineers are end-to-end owners who participate in designing, building, and delivering data-focused products for our stakeholders.

What You'll Do

• Design and build systems that orchestrate advertising across channels, ensuring a unified narrative from first impression to conversion.

• Work across team boundaries — partnering with identity, measurement, and bidding teams to integrate their capabilities into cohesive omnichannel solutions.

• Own projects end to end, from early design through production rollout and ongoing operation.

• Translate ambiguous business requirements into concrete technical designs and execution plans.

• Deliver high-quality changes with automated tests, metrics, and monitoring.

• Collaborate with product managers and business stakeholders to define what success looks like and drive toward it.

• Mentor other engineers and contribute to a culture of trust, ownership, and technical excellence.

Who You Are

• You're comfortable owning things end to end — from scoping a problem to shipping and operating the solution.

• You communicate clearly with both technical and non-technical audiences, and you're effective working across teams with competing priorities.

• You thrive in ambiguity. Vague requirements don't slow you down — you translate them into actionable plans and iterate toward the right answer.

• You have 7+ years of software development experience.

• You have strong experience with distributed systems and backend development in a language such as C#, Java, or Python.

• You have a solid understanding of computer science and engineering fundamentals.

• You're comfortable working on an agile, distributed team spanning multiple time zones.

Nice to Have

• Experience with large-scale data processing (Spark, Airflow, Kafka, Flink).

• Familiarity with cloud infrastructure and orchestration tools (Kubernetes, Terraform).

• Experience in ad tech or with real-time bidding systems.

• Exposure to cross-channel measurement or identity resolution.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.

About the role:

We live and breathe data at Enova - and this role sits at the center of it. As a Senior Business Intelligence Engineer, you will design, develop, and maintain robust reporting solutions and analytic applications that power decision-making across Finance, Marketing, Operations, Compliance, and more.

You will partner directly with business owners to gather requirements, translate them into scalable BI solutions, and take ownership of the full project lifecycle – from scoping through delivery and ongoing support. You will also play a key role in advancing our use of AI across the BI and data development workflow, leveraging modern tools to accelerate insight delivery and drive strategic impact.

Responsibilities:

• Partner with stakeholders across all our PnLs, Marketing, Operations, Accounting, and Finance to understand data needs and deliver actionable reporting solutions
• Lead technical initiatives end-to-end from architecting the solution to collaborating with peers on execution
• Design, implement, and maintain complex, multi-layered SQL and Python processes for reporting and analytics
• Architect and enhance ETL/ELT pipelines using Astronomer Airflow and other modern orchestration tools
• Operates as a senior member of the team: leads projects end-to-end from scoping and design through delivery and support
• Build, optimize, and support data marts and data warehouse solutions using Snowflake
• Develop and maintain dashboards and reports in Strategy(MSTR) and/or comparable BI tools
• Proactively identify and implement AI use cases across various business units, leveraging Enova’s AI tech stack(Claude, AWS Bedrock, Gemini, and more) to drive adoption
• Advise on best practices, innovative designs, and emerging BI technologies

Requirements:

Experience designing, developing, and working with data marts is a must.

• Expert-level SQL and database skills - writing high-quality, performant queries is a core part of this role
• 5-7+ years of experience with relational databases and cloud data warehouses (Snowflake, Databricks, BigQuery, or AWS Redshift)
• Strong grasp of data warehousing and data mart concepts, including dimensional modeling (star schema, slowly changing dimensions, etc.)
• 4+ years designing and implementing ETL/ELT pipelines; hands-on experience with Astronomer (Apache Airflow) or similar orchestration tools
• 4+ years working with enterprise BI and visualization tools – MicroStrategy, Tableau, Looker, PowerBI, or equivalent
• Proficiency in Python for data transformation, pipeline automation, and analytics
• Experience leveraging AI tools in day-to-day work - coding assistants, agents, and identifying new use cases (e.g., Claude, Gemini, AWS Bedrock) - with a curiosity to push adoption further
• Strong business acumen – ability to understand domain context and translate business needs into technical data solutions
• Proven experience working directly with senior management and cross-functional stakeholders to gather requirements and define success

Compensation:

This position includes various levels within our career ladder. The actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the ranges shown. 

Budgeted annual salary ranges:

Senior BI Engineer I: $72,000-105,000
Senior BI Engineer II: $80,000-115,000

Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.

Simplex Trading is seeking a motivated, analytically-minded Business Intelligence Analyst / Accountant to join our Finance team in our Chicago, Illinois office. This is a full-time, in-office position for a candidate who sits at the intersection of finance and technology — someone equally comfortable querying a trading database as closing the books. You will own day-to-day accounting responsibilities while also serving as a key driver of process automation initiatives and data-driven financial analysis across the firm’s proprietary databases. The ideal candidate has a strong accounting or finance foundation, hands-on SQL proficiency, and a genuine enthusiasm for replacing manual workflows with scalable, technology-driven solutions.

KEY RESPONSIBILITIES

General Ledger & Month-End Close

• Execute monthly and quarterly close processes including journal entries, accounts payable, account reconciliations, accruals, and variance analysis; submit completed entries to the Senior Accountant for review and approval.
• Own the accounts payable process end-to-end, including invoice coding, payment processing, vendor reconciliation, and aging report.
• Maintain the general ledger and ensure accuracy, completeness, and timeliness of all financial data.
• Assist in preparing monthly, quarterly, and annual financial statements in accordance with GAAP.

Regulatory Reporting & Compliance

• Maintain working knowledge of applicable SEC and FINRA financial responsibility rules.
• Support the annual audit process by preparing audit schedules and supporting documentation.

Financial Analysis & Database Reporting

• Write, optimize, and maintain SQL queries to extract, transform, and analyze financial data from the firm’s trading and operational databases.
• Build and maintain dashboards and recurring reports that provide P&L drivers, position exposures, fee structures, and other key performance indicators for senior leadership.
• Conduct ad-hoc deep-dive analyses on trading financial data.

Technology & Process Improvement

• Administer the firm's credit card spend and expense reimbursement program, including transaction coding and reconciliation.
• Identify and eliminate manual, repetitive finance workflows – including close processes, reconciliations and management reporting –  through scripting, macros, or low-code/no-code tools, in close collaboration with the Senior Accountant.
• Contributing  to evaluations of new accounting and finance technology, providing requirements, testing, and implementation support.
• Stay current on emerging tools and technologies relevant to finance automation (e.g., Python, Claude, dbt, Airflow, RPA platforms) and proactively propose improvements.

QUALIFICATIONS

Required

• Bachelor’s degree in Accounting, Finance, Information Systems, or a related quantitative field.
• 3-5 years of experience in accounting, financial analysis, or a related finance role, ideally within a broker-dealer, proprietary trading firm, or regulated financial services environment.
• Willing to sit for FINRA licensing exams to ensure regulatory compliance with the scope of the role
• Hands-on proficiency with SQL; comfortable writing complex queries (joins, subqueries, window functions, CTEs) against large relational databases.
• Strong working knowledge of GAAP and financial reporting standards.
• Demonstrated experience identifying and implementing process automation or efficiency improvements in a finance context.

Preferred

• Experience with a data visualization or BI tool such as Power BI, Tableau, or Looker.
• Scripting experience in Python or VBA for finance automation use cases.
• Exposure to data engineering concepts (Extract, Transform, Load pipelines, data warehouses, dbt, or similar).
• Familiarity with options, derivatives, or equity securities accounting.
• Public accounting experience (Big 4 or regional firm) is a plus.

HPC Infrastructure Operations Lead

Location: Chicago or New York (On-site 5 days/week; regular travel to HPC data center sites required)

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Trading Infrastructure is a global organization of Engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business.

Jump's HPC infrastructure powers some of the most demanding computational workloads in the industry. As our HPC footprint grows, we need a seasoned operations leader to own the reliability, standards, and day-to-day excellence of these environments. This role leads the teams that keep the lights on across Jump's HPC data centers, ensuring maximum uptime through disciplined operations, proactive maintenance, and deep technical expertise in critical facility systems. Heavy, daily use of AI tools is expected in this role—to accelerate decision-making, automate operational workflows, analyze data center telemetry, and continuously raise the bar on how the team operates.

What You'll Do:

Team Leadership & Organizational Ownership
- Lead and manage data center site leads and their teams across multiple HPC facilities; site leads report directly to this role.
- Recruit, mentor, and develop team members while conducting performance reviews and building a culture of operational rigor.
- Direct onsite contractors by providing clear scope and validating completed work.

HPC Data Center Standards, Processes & Preventative Maintenance
- Develop, document, and enforce operational standards and procedures for Jump's HPC data centers covering power, cooling, cabling, and hardware lifecycle.
- Design and own the preventative maintenance program, including scheduled inspections, component replacements, and firmware/capacity reviews to minimize unplanned downtime.
- Drive continuous improvement of operational processes and pursue automation—including AI-driven approaches—to reduce manual effort and human error.

Critical Facility Systems Expertise
- Serve as the subject matter authority on HPC data center power distribution, power striping strategies, and failover/redundancy configurations.
- Own expertise across air cooling, liquid cooling (direct-to-chip, rear-door, CDU-based), and hybrid cooling architectures.
- Maintain deep knowledge of environmental monitoring and controls (temperature, humidity, airflow, leak detection) and ensure systems remain within design parameters.

Monitoring & Incident Response
- Own the HPC data center monitoring strategy end-to-end: define what is monitored, set alerting thresholds, and ensure comprehensive visibility into facility and hardware health.
- Leverage AI tools to analyze telemetry data, identify failure patterns, predict potential issues, and accelerate root cause analysis during incidents.
- Lead critical incident response and drive root cause analysis and corrective actions to prevent recurrence.
- Establish and track operational KPIs including availability, mean time to repair, and efficiency metrics.

Server & Switch Hardware Expertise
- Maintain deep, hands-on knowledge of server hardware architectures including multi-socket platforms, GPU/accelerator configurations, memory subsystems, NVMe/storage controllers, BMC/IPMI management, and firmware lifecycle.
- Maintain deep, hands-on knowledge of network switch hardware including line cards, optics/transceivers, switch fabrics, and platform-specific diagnostics for Arista and Cisco platforms.
- Evaluate new hardware platforms, drive hardware qualification and acceptance testing, and provide informed recommendations on hardware selection.

Hardware Break-Fix
- Own the overall hardware break-fix function across all HPC sites, ensuring rapid diagnosis and resolution for servers, GPUs, network equipment, storage, and facility infrastructure.
- Diagnose complex hardware failures at the component level—CPUs, DIMMs, GPUs, NICs, PSUs, fans, drives, switch line cards, and optics—and direct the team to resolve efficiently.
- Establish escalation paths, SLA targets, and reporting for hardware failures.

Inventory & Spares Management
- Own inventory processes and spares tracking across all HPC facilities, ensuring critical spares are stocked, tracked, and replenished to meet availability targets.
- Maintain accurate asset records for all serialized and consumable inventory.

Planning, Vendor & Budget Management
- Conduct capacity planning for space, power, cooling, and cabling to stay ahead of growth.
- Gather requirements and plan new hardware installations including physical placement, power/cooling needs, and cabling.
- Manage relationships with colocation providers and hardware vendors; negotiate contracts and SLAs.
- Develop and manage operational budgets for equipment, staffing, and facilities.

Networking & Linux
- Possess strong working knowledge of networking concepts including L2/L3 protocols, VLANs, BGP, OSPF, LACP, ECMP, and high-performance fabrics relevant to HPC environments.
- Understand network architectures such as spine-leaf, fat-tree, and high-radix topologies used in HPC clusters.
- Maintain strong Linux systems knowledge—comfortable navigating and troubleshooting at the OS level, including storage, networking, process management, log analysis, and system diagnostics.

AI-Driven Operations
- Use AI tools daily across all aspects of the role: writing and reviewing documentation, analyzing operational data, drafting procedures, managing communications, and problem-solving.
- Champion AI adoption within the team—set the expectation that every team member integrates AI into their daily workflows.
- Identify and implement opportunities where AI can replace or augment manual operational processes.

Cross-Team Partnership
- Partner with HPC Engineering, Network Engineering, and other teams to align operations with research and business needs.
- Ensure compliance with all safety, security, and regulatory requirements.

Travel
- Travel regularly to Jump's HPC data center sites for operational oversight, project execution, and team engagement. This is a core requirement of the role.

Additional duties as assigned or needed.

Skills You'll Need:

- Minimum 7+ years of data center operations experience with at least 3 years leading teams in 24/7 critical infrastructure environments. HPC environment experience strongly preferred.
- In-depth knowledge of data center power systems, power distribution/striping, and failover/redundancy architectures.
- In-depth knowledge of cooling technologies including air cooling, liquid cooling (direct-to-chip, rear-door heat exchangers, CDUs), and environmental control systems.
- Proven experience building and maintaining preventative maintenance programs and operational standards/procedures.
- Strong experience with data center monitoring platforms (DCIM, BMS, environmental sensors) and defining monitoring/alerting strategies.
- Demonstrates a high level of energy, results driven, and able to work under pressure with tight deadlines.

Technical Skills:

- Deep knowledge of server hardware architectures: multi-socket platforms, GPU/accelerator systems, memory subsystems, NVMe storage, BMC/IPMI, and firmware management.
- Deep knowledge of network switch hardware: line cards, optics/transceivers, switch fabrics, and platform diagnostics across Arista and Cisco platforms.
- Proven hardware break-fix experience with the ability to diagnose failures at the component level (CPUs, DIMMs, GPUs, NICs, PSUs, drives, line cards, optics).
- Strong understanding of networking concepts: L2/L3 protocols, VLANs, BGP, OSPF, LACP, ECMP, and HPC network topologies (spine-leaf, fat-tree).
- Strong Linux systems proficiency—well beyond basic CLI usage. Comfortable with OS-level troubleshooting, storage and network configuration, process management, log analysis, and system diagnostics.
- Experience managing inventory and spares programs for critical infrastructure.
- Structured cabling standards expertise.
- Programming/scripting experience (Python preferred) is a plus.
- Demonstrated heavy use of AI tools (e.g., LLM-based assistants, AI coding tools, AI-driven analytics) in a professional setting. You should already be using AI daily and be eager to push its application further across operations.
- Strong project management skills with multi-site infrastructure deployment experience.
- Knowledge of industry standards including ASHRAE and TIA-942.
- Excellent written and verbal communication skills with the ability to communicate effectively across technical and non-technical audiences.
- Meet physical requirements including working on ladders/elevated platforms and lifting up to 50 lbs.
- Extremely high personal standards for work quality and operational discipline.
- Reliable and predictable availability, including ability to work evenings and weekends as required.
- Willingness and ability to travel regularly to data center sites.
- Bachelor's degree preferred.

RAPP Chicago is looking for a Senior Data Engineer to join our award-winning Technology team.

WHO WE ARE:

We are RAPP – world leaders in activating growth with precision and empathy at scale.

As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations.



We foster an inclusive workplace that emphasizes personal well-being.

HOW WE DO IT:

At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.


Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients.


Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets.

YOUR ROLE:

We are looking for a Senior Data Engineer with deep expertise in building scalable, cloud-native data pipelines and platforms. The ideal candidate is highly skilled in Python, Apache Airflow, AWS Lambda, DynamoDB, and dbt, and has experience designing reliable data workflows that enable advanced analytics, reporting, and machine learning use cases. The ideal candidate will have strong attention to detail, a passion for information management, and the ability to work collaboratively with creative teams to enhance the efficiency and scalability of our asset workflows.

YOUR RESPONSIBILITIES:

• Data Pipeline Development
  • Design, build, and maintain robust ETL/ELT pipelines using Python and Airflow.
  • Develop serverless workflows leveraging AWS Lambda for scalable event-driven data processing.
  • Implement and optimize dbt models for analytics and transformations.
• Data Architecture & Storage
  • Design schemas and manage data in DynamoDB and other cloud-native storage solutions.
  • Ensure high availability, scalability, and performance of data systems.
  • Integrate structured, semi-structured, and unstructured data sources.
• Automation & Orchestration
  • Build workflow orchestration strategies using Airflow for scheduling and monitoring pipelines.
  • Automate infrastructure deployment and CI/CD pipelines for data services.
• Quality & Governance
  • Implement data validation, testing, and monitoring frameworks.
  • Ensure compliance with security, privacy, and governance standards.
• Collaboration & Leadership
  • Partner with analytics, product, and engineering teams to deliver reliable datasets.
  • Mentor junior engineers and enforce best practices in data engineering.
  • Actively contribute to improving team efficiency, scalability, and standards.

REQUIRED SKILLS:

• 5–8+ years of experience in data engineering, software engineering, or a related role.
• Strong expertise in Python for data engineering and automation.
• Hands-on experience with Apache Airflow for orchestration.
• Proficiency with AWS Lambda and serverless design patterns.
• Solid experience with DynamoDB (schema design, performance tuning, scaling).
• Strong knowledge of dbt for transformation and analytics modeling.
• Experience with cloud environments (AWS preferred).
• Familiarity with CI/CD workflows, Git, and DevOps practices.
• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience with other AWS services (S3, Glue, Redshift, Kinesis).
• Familiarity with data warehouse and data lake architectures.
• Exposure to real-time streaming and event-driven data pipelines.
• Knowledge of containerization (Docker, Kubernetes).

Soft Skills

• Exceptional attention to detail and organizational skills.
• Strong written and verbal communication skills, with the ability to explain complex metadata systems to non-technical users.
• Ability to work collaboratively and cross-functionally with creative, marketing, and IT teams.
• Proactive problem-solver who can identify issues and suggest improvements.
• Time management skills with the ability to prioritize and manage multiple tasks in a fast-paced environment.

Our hybrid work model:

RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like. 

RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com. A reasonable estimate of the salary for this role, at the time of posting, is $90,000 - $99,000. This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.

“As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.”

NOTE:  This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.

RAPP Chicago is looking for a Data Engineer to join our award-winning Technology team.

WHO WE ARE:

We are RAPP – world leaders in activating growth with precision and empathy at scale.

As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations.



We foster an inclusive workplace that emphasizes personal well-being.

HOW WE DO IT:

At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.


Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients.


Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets

YOUR ROLE:

We are looking for a Data Engineer who is eager to learn and grow while contributing to the development of scalable, cloud‑native data pipelines and platforms. The ideal candidate has foundational knowledge of Python and an interest in building data workflows using modern technologies such as Apache Airflow, AWS Lambda, DynamoDB, and dbt. You should have a strong curiosity for how data systems operate, a willingness to learn best practices in data engineering, and a motivation to support advanced analytics, as you gain hands‑on experience.

YOUR RESPONSIBILITIES:

• Data Pipeline Development
• Design, build, and maintain robust ETL/ELT pipelines using Python and Airflow.
• Develop serverless workflows leveraging AWS Lambda for scalable event-driven data processing.
• Implement and optimize dbt models for analytics and transformations.
• Data Architecture & Storage
• Design schemas and manage data in DynamoDB and other cloud-native storage solutions.
• Ensure high availability, scalability, and performance of data systems.
• Integrate structured, semi-structured, and unstructured data sources.
• Automation & Orchestration
• Build workflow orchestration strategies using Airflow for scheduling and monitoring pipelines.
• Automate infrastructure deployment and CI/CD pipelines for data services.
• Quality & Governance
• Implement data validation, testing, and monitoring frameworks.
• Ensure compliance with security, privacy, and governance standards.

REQUIRED SKILLS

• 1–3 years of experience in data engineering, software engineering, or a related role.
• Proficiency in Python for data engineering and automation.
• Familiarity with Apache Airflow for workflow orchestration.
• Basic understanding of AWS Lambda and serverless design patterns.
• Exposure to DynamoDB (schema design and performance considerations).
• Knowledge of dbt for data transformation and analytics modeling.
• Experience working in cloud environments (AWS preferred).
• Understanding of CI/CD workflows, Git, and DevOps practices.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with other AWS services (S3, Glue, Redshift, Kinesis).
• Familiarity with data warehouse and data lake architectures.
• Exposure to real-time streaming and event-driven data pipelines.
• Knowledge of containerization (Docker, Kubernetes).

Soft Skills

• Exceptional attention to detail and organizational skills.
• Strong written and verbal communication skills, with the ability to explain complex metadata systems to non-technical users.
• Ability to work collaboratively and cross-functionally with creative, marketing, and IT teams.
• Proactive problem-solver who can identify issues and suggest improvements.
• Time management skills with the ability to prioritize and manage multiple tasks in a fast-paced environment.

Our hybrid work model:

RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like. 

RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com. A reasonable estimate of the salary for this role, at the time of posting, is $81,000 - $97,000. This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.

“As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.”

NOTE:  This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.

Why project44?  

At project44, we believe in better.  

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.  With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.  Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.  If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. 

We’re hiring a technical, hands-on Product Manager to scale ML-powered products (ETA, risk, anomalies/exceptions, network insights) while building Data Science as a Platform—reusable capabilities that accelerate model development, deployment, monitoring, and governance across multiple product areas. 

You’ll partner daily with Data Science, ML Engineering, Data Engineering, Platform Engineering, and Product teams to ship production ML and establish repeatable, measurable ML delivery. 

Key Accountabilities

• Own the roadmap for applied ML capabilities beyond ETA (risk scoring, exception prediction, anomaly detection, carrier/network performance insights), from discovery to launch and iteration. 
• Define and deliver a DS/ML platform: feature management, experimentation, model registry, deployment patterns, monitoring/observability, governance, and self-serve tooling. 
• Translate customer workflows into ML problem statements: labels/targets, constraints, SLAs, interpretability, and “do no harm” launch gates. 
• Drive evaluation and experimentation: offline metrics/back testing, online testing (A/B, holdouts), and measurable business impact. 
• Partner with engineering on batch + real-time inference architectures, streaming/event-time feature needs, and reliability (SLOs, incident playbooks). 
• Establish and track platform success metrics: time-to-first-model, deployment frequency, reuse rate, model performance stability, incident rate, and ROI.

Minimum Qualifications

• 5–8+ years Product Management experience with 3–4+ years focused on DS/ML-driven products (or equivalent) 
• Demonstrated ability shipping end-to-end ML systems to production and iterating based on outcomes 
• Strong technical fluency across the ML lifecycle (data → features → training → serving → monitoring → retraining) 
• Ability to operate between Sr and Principal: sets direction, aligns stakeholders, and drives execution across multiple teams 
• Excellent written communication (PRDs, decision docs) and crisp cross-functional leadership 
• In-office Commitment: Employees are expected to contribute to our collaborative culture by working in the office Four days weekly

Technical skills (experience with many of the following) 

• SQL (strong) and working knowledge of Python / notebooks / data analysis workflows 
• Data platforms: Snowflake / BigQuery / Redshift / Databricks (Delta Lake) 
• Orchestration & ETL: Airflow / Dagster / Prefect, dbt, Spark 
• Streaming/event systems: Kafka / Kinesis / Flink 
• MLOps: experiment tracking/model registry (MLflow / Weights & Biases), pipelines (Kubeflow / SageMaker Pipelines / TFX / Flyte/ Tensor flow), serving (SageMaker / Vertex AI / Databricks Model Serving / KServe / BentoML) 
• Feature stores: Feast / Tecton /  SageMaker Feature Store 
• Monitoring/observability: Arize / WhyLabs / Evidently + Prometheus/Grafana/Datadog 
• Platform fundamentals: Docker/Kubernetes, API design (REST/gRPC), SLAs/SLOs, security & PII basics 
• LLMs/GenAI (RAG, embeddings, vector DBs like Pinecone/Weaviate/Milvus), evaluation + guardrails 

Preferred 

• Experience in logistics / supply chain / transportation or other high-volume operational domains 
• Familiarity with geospatial/event-time data, carrier APIs/EDI, entity resolution, and enterprise exception workflows 
• Platform product experience with internal “developer” customers and adoption metrics 

Diversity & Inclusion

We're designing the future of how the world moves and is connected through trade and global supply chains. We can only deliver a truly world-class product and experience if our teams are as diverse and unique communities we are building for. So it's up to us to create a company where anyone can bring their authentic self to work everyday. We're constantly working to improve, and we accept our responsibility to elevate the voices left in the margins. It's on every one of us.

Our focus on inclusion manifests in the way we hire, the customers we serve, and the regions we prioritize. We're building a company that every one of us at project44 is proud to work for: a company that celebrates you for being you.

We pride ourselves on celebrating everyone — project44 is an equal opportunity employer actively working on creating a diverse and inclusive work environment where underrepresented groups can thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application!

For any needed accommodations during the hiring process, please email recruiting@project44.com. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.

About Cubist:

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role:

Quantitative Developer for a PM team focused on systematic credit and related asset classes. This is a unique opportunity to collaborate, learn, and lead technology projects with high business impact.

Responsibilities:

• Design and develop software for strategy research and trading.
• Build and improve tools for data acquisition, processing, and visualization.
• Work on the execution/order management system, live dashboards, and P&L reconciliation tools.
• Manage the team’s CI/CD pipeline, job running infrastructure, and other tech components.
• Ensure robustness and efficiency of the team’s systems. Be ready to troubleshoot and correct any issues.
• Collaborate with the portfolio manager, quant researchers, and traders.

Requirements:

• Undergraduate or graduate degree in Computer Science.
• 2+ years of experience developing research and trading infrastructure at a financial institution, or demonstrated excellent skills required for the role.
• Prior experience with execution/order management systems, real-time data servers, and visualization is a plus.
• Solid understanding of Linux OS—system components, process management, shell scripting.
• Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment management.
• Knowledge of SQL, JavaScript, Apache airflow.
• Strong communication skills.
• Willingness to take ownership of his/her work.
• Commitment to the highest ethical standards.

About Attain

Built for consumers and companies, alike. In a world driven by data, we believe consumers and businesses can coexist. Our founders had a vision to empower consumers to leverage their greatest asset—their data—in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tools, earned wages and rewards without cost or hidden fees. In exchange, they give permission to use their real-time data for research, insights and targeted advertising.

At Attain, your contribution will help us build a more equitable and efficient data sharing ecosystem—whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You’ll have the opportunity to work directly with hands-on leaders and mission-driven individuals everyday.

You’ll be a great fit for the role if

• You love data and automating processes
• You have a willingness to learn and teach in a collaborative environment
• You’ve been complimented on how well you participate in an open feedback environment

What your day to day will look like

• Use new and modern technology to build new features and services across our microservice architecture
• Work with our internal cloud databases and data warehouses
• Collaborate with our product team to create a robust data catalog and dictionary
• Build alerts and observability dashboards to monitor the health and integrity of our data
• Write thoughtful & quality code that is readable, testable and easily maintainable
• Strive for excellent development practices and careful code architecture that is built around rapid releases
• Work cross-functionally with all mobile and backend engineers and product teams to consistently release high-quality, customer-focused features and measure their impact
• Adhere to, and improve upon, our processes through requirement documents, sprint retrospectives and other regular cadence meetings

Preferred Qualifications

• 6+ years of experience building backend services or data automation
• Experience in the financial tech industry is a plus
• Experience with Python
• Experience with tools like Airflow or GCP Workflows
• Experience with working with relational databases
• Experience with cloud environments such as AWS, GCP, or Azure
• Experience using gRPC, protobuf, or GraphQL is a plus

We’re excited to hear from you. 

At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn’t match every detail of the job description. If we don’t see something that immediately fits, we will keep your resume on file for future opportunities.