Location: Remote (For Non-Local) or Hybrid (Local to NYC area or Denver, CO)

Position Summary:

As a member of the Enterprise Solutions team, you will play a critical role in contributing to the success of Judi Health’s customers leveraging Judi, our Enterprise Health Platform, to service their own pharmacy administrative needs. The Enterprise Solutions team seeks individuals who are passionate to change the landscape of claims processing while providing superior service. This individual will hold responsibility for the setup and ongoing maintenance of accumulator, claims and override data in Judi.

Position Responsibilities:

• Accountable for configuration, load, and maintenance of data from previous adjudication systems into Judi.
• Provide customers with subject matter expertise in Judi’s capabilities, ensuring successful migration to the adjudication platform, with parity of all logic and initiatives.
• Devise a repeatable process for implementing data in Judi, establishing key milestones, and maintaining up to date project plan.
• Build and maintain trusting relationships with customers through superior customer service, meeting or exceeded service level metrics.
• Perform QA and claims testing to validate that data loads yield appropriate adjudication results.
• Partner with Analytics colleagues to author automated/manual test cases and monitoring processes for configurations and data loads.
• Proactively identify execution risks around build status and defects, partnering with internal Product teams and clients to surface mitigation strategies.
• Contribute to playbooks/templates that scale configurations for future client onboardings.
• Take charge of critical issues or problems to key stakeholders, ensuring swift resolution and communication within service level agreements.
• Certain times of year may require meeting participation, travel, service support or other requirements outside of standard business hours, including weekends.
• Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance.

Minimum Qualifications:

• 1+ years of experience in an Analyst role, Software Engineering role or related work experience
• 1+ year of PBM or Health Plan operations experience handling adjudication configurations.
• Experience performing complex analyses on large sets of data
• Knowledge of data management, statistics, modeling
• Experience working with structured and unstructured data
• Proficient in SQL, JSON, Java, R, Excel, and other data visualization tools
• Track record of leading cross-functional initiatives, driving high performance, meeting deadlines, and executing on deliverables.
• Exceptional project / time management, prioritization, and organizational skills to ensure customer satisfaction.
• Ability to shift between competing priorities and meet organizational goals.
• Excellent verbal, written, interpersonal and presentation skills.
• Ability to work effectively with virtual teams.
• Ability to travel 5-10%.

Preferred Qualifications:

• Bachelor's Degree preferred, or equivalent combination of education, training, and experience.

• Experience working with AWS Redshift

About the opportunity

We are looking for a Data Scientist who will turn data into insights and build models that drive meaningful business outcomes. You will work closely with cross-functional stakeholders to understand problems, design analytical solutions, and deploy data products that scale.

What to expect?

• Collect, clean, and analyze structured and unstructured data.
• Develop predictive models, statistical analyses, and machine learning algorithms.
• Build dashboards, reports, and data visualizations to communicate insights.
• Collaborate with engineering to deploy models into production environments.
• Perform exploratory data analysis (EDA) to identify trends and opportunities.
• Conduct A/B testing and design experiments to measure feature performance.
• Document methodologies and ensure reproducibility of analytical work.
• Contribute to end-to-end machine learning workflows, including model training,  validation, and deployment, working with established tools and patterns and with support from engineering.
• Monitor model performance and data quality, and update models as needed.

What do you need to be successful?

Required

• Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Strong proficiency in Python (pandas, scikit-learn, NumPy).
• Experience using SQL to work with analytical databases and data warehouses.
• Solid understanding of statistical modeling, model evaluation, and experimental methods.
• Familiarity with machine learning techniques (regression, classification, clustering, etc.).
• Hands-on experience building and running machine learning models in production or production-like environments.
• Experience building dashboards with tools like Tableau, or similar.
• Strong analytical and problem-solving skills.
• Ability to balance analytical rigor with practical delivery.
• Excellent communication skills with the ability to translate data insights into business actions.

Preferred    

• Familiarity with workflow orchestration or model lifecycle tools (e.g., Airflow, MLflow) at a practical, working level.
• Implement practical model deployment approaches (e.g., batch inference, scheduled retraining) using existing team tools and patterns.
• Experience with cloud platforms (AWS, or similar).
• Knowledge of ML Ops tools (MLflow, Airflow, or similar).
• Exposure to big data technologies (Redshift, Snowflake).
• Experience working in agile environments.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/21/2026

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary: $136,000-$184,000

About the opportunity

We are seeking a Data Engineer to help design, build, and scale modern data solutions that power analytics, operational reporting, and business decision-making across the company. You will work closely with our data, analytics, and business teams to develop high-quality data pipelines, models, and integrations that deliver clean, reliable, and actionable data.

You will join a small, cross-geography engineering team operating with a product mindset - delivering iterative value, partnering closely with business and analytics stakeholders, and owning both build and run responsibilities of a mission-critical platform.

What to expect?

• Design, build, and maintain scalable data pipelines and transformations across multiple systems and sources.
• Develop high-quality data models that support analytics, reporting, and operational use cases.
• Partner with analytics, product, and business stakeholders to understand data needs and translate them into technical solutions.
• Implement strong data quality, validation, and monitoring processes to ensure reliability and trust in the data.
• Optimize data storage, processing, and performance within cloud data warehousing environments.
• Contribute to the development and evolution of our modern data platform, including tooling, standards, and best practices.
• Support data platform operations—troubleshooting issues, improving reliability, and ensuring SLAs are met.
• Collaborate with cross-functional partners on governance, documentation, definitions, and data stewardship.
• Implement CI/CD practices and Infrastructure-as-Code (IaC) to automate deployment, testing, and environment management.
• Participate in code reviews, design discussions, and operational on-call rotations as needed.

What do you need to be successful?

Required

• 3–6+ years of experience in Data Engineering or a similar technical role.
• Strong SQL skills and experience working with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).
• Experience building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, or similar frameworks.
• Proficiency in Python or another scripting language.
• Strong understanding of data modeling, data structures, and modern data architecture patterns.
• Experience with CI/CD workflows, version control (Git), and Infrastructure-as-Code tools (Terraform a plus).
• Familiarity with data governance, quality, lineage, and cataloging concepts and tools.
• Demonstrated ability to collaborate with analysts, engineers, and business partners in a cross-functional environment.
• Excellent communication skills and a product-focused mindset.

Preferred

• Experience with monitoring/observability tools (e.g., Monte Carlo, Datadog).
• Experience with BI tools such as Tableau or Looker.
• Background in distributed systems, APIs, or event-based architectures.
• Exposure to data security, compliance, or privacy frameworks.
• Experience utilizing AI for development.

What we're looking for

• A builder who enjoys solving complex data challenges with clean, reliable, scalable solutions.
• A collaborator who thrives in cross-functional environments and communicates clearly.
• A problem-solver who cares about quality, consistency, and long-term maintainability.
• Someone who wants to make a measurable impact by empowering data-driven decision-making across the company.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/23/26

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary Range: $119,000-$161,000

Location: Hybrid (Local to NYC area)

About the team

The Platform team at Capital Rx is made up of a set of passionate, motivated, and driven individuals who are not only experts in technologies but are great problems solvers and brings high energy and inspiration every day. The team always works a sense of ownership and urgency delivering highest quality of work ensuring seamless operations and fostering collaboration across the software engineering department. We own the architecture, framework & standards, infrastructure and CI/CD pipelines which development teams utilize to deliver code to Captial Rx’s Judi® platform. The team is also responsible for the production environment which requires knowledge with monitoring, alerting and on-call practices. The Platform team performs many functions whether that is tactical operations, providing general solutions for the enterprise or giving guidance or recommendations for individual product teams.

Position Summary:

We are a rapidly growing late-stage health tech company helping millions of lives through our innovative product Judi. We’re seeking a highly skilled and experienced Senior Platform Developer II to join our platform team. This pivotal role will be instrumental in building, scaling, and maintain the robust and secure infrastructure that powers our mission-critical platform.

You will be a force multiplier, enabling our development teams to deliver features faster and more reliably. You will champion infrastructure-as-code principles, contribute code to platform scalability, drive automation across the entire software development lifecycle, and ensure our platform meets the highest standards of scalability, performance, and security.

Position Responsibilities:

• Architect, implement, and maintain highly available, scalable, and secure platform & infrastructure
• Develop and maintain robust automation pipelines for continuous delivery (CI/CD), and infrastructure provisioning tools like GoCD, Harness, and Terraform
• Write clean, efficient, and well-tested Python code for automation, tooling and service development.
• Manage and optimize relational or in-memory databases, including PostgreSQL, Redshift and Redis, ensuring high performance, reliability, and data integrity.
• Administer and finetune container orchestration platforms such EKS and ECS.
• Implement and manage serverless architectures leveraging AWS Lambda for various platform functionalities.
• Collaborate closely with development teams to ensure infrastructure aligns with application requirements and best practices.
• Lead efforts in defining and enforcing security best practices across the platform, including adherence to HIPAA standards, FISMA, SOC II, and FedRAMP compliance standards.
• Monitor systems performance, identify bottlenecks, and implement proactive solutions to ensure optimal operation and scalability.
• Participate in on-call rotations to provide operational support and incident response.
• Champion Agile/Scrum methodologies, actively participating in sprint planning, stand-ups, and retrospectives.
• Mentor junior developers and contribute to a culture of technical excellence and continuous improvement.
• Evaluate and recommend new technologies and tools to enhance platform capabilities and efficiency.
• Develop internal tooling and automation scripts using Python and work with SQL to support operational workflows.
• Implement observability (monitoring/logging/alerting) best practices for highly available SaaS services.
• Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.

Requirements

• 8+ years of experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer.
• Deep expertise in AWS infrastructure and services including but not limited to EC2, Lambda, ECS, EKS, RDS, S3, VPC, CloudWatch, SQS, SNS, IAM, Kinesis
• Excellent proficiency with Terraform, Python, SQL, and automation tooling.
• Extensive experience with Docker and container orchestration (Kubernetes/EKS).
• Solid understanding and hands-on experience with SQL, database administration (PostgreSQL preferred), and performance tuning
• Experience with CI/CD systems (e.g., GoCD, GitHub Actions, Harness).
• Proven experience in automating Observability & Monitoring (Grafana, Kibana, Prometheus), standardizing incident response for alerts to maintain SLAs and SLOs
• Hands-on experience in environments compliant with FISMA, SOC 2, and/or FedRAMP.
• Background in building highly scalable, performant SaaS platforms.
• Excellent communication, collaboration and problem-solving skills.
• Ability to work effectively with cross-functional teams, including developers, IT security & compliance, product manager, and scrum masters.
• Strong experience in production on call rotations and responding to alerts.

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

 About the Role:  

At Evio, we are building a suite of solutions that enable pharmacy innovation and improved patient outcomes. Our solutions infrastructure is foundational to the value we offer to customers.  We are seeking an experienced Data Engineer who wants to build reliable, scalable systems to bring our mission to life.   

In this role, you will design, develop, and maintain our AWS-cloud-native data platform and systems necessary for efficient data processing, storage, and analysis. This role will work closely with our product management and data analytics teams to create and manage effective data ETL processes on our platforms: helping shape how data flows across our ecosystem and ensuring it is secure, accurate, and trustworthy.  

This is a hands-on role for a team player who wants to build a best-in-class system and make a difference in health care. We are a lean team with strong company culture, and every teammate plays a mission-critical role in our success.  

Key Responsibilities: 

Design and administer data systems:  

• Implement cloud-native data solutions across cloud services such as AWS Glue, AWS Lambda, AWS Step Functions, Redshift, Aurora, Amazon S3, MWAA-Airflow.
• Design and implement scalable data architectures using AWS cloud services, including data lakes, data warehouses, bulk data ingestion, and transaction processing.  
• Collaborate with customers and teammates to comprehend data requirements and translate business needs into well-designed data models.  
• Assemble large, complex data sets that meet functional business requirements.   
• Stay current with AWS services and recommend suitable tools for specific data engineering tasks.  
• Develop and support the internal applications using Python, SQL, and Stored Procedures.  

Build reliable data processes:  

• Develop, implement, and maintain ETL processes to ingest, clean, and transform complex health care data into our application data platforms.  
• Automate manual processes and to optimize data delivery and reduce operational friction. 

Optimize data pipeline performance:  

• Monitor and tune data pipelines and data storage for performance, cost, and reliability.  
• Implement caching mechanisms and data partitioning strategies to enhance query efficiency and reduce data processing times.  
• Continuously evaluate tools and recommend improvements, striving to consistently raise the bar.  

Lead and collaborate company-wide:  

• Provide technical guidance and mentorship within the data engineering team and foster a collaborative and innovative environment.
• Partner closely with product and analytics team to understand business goals and engineer solutions to the right problems.   
• Contribute to a culture of transparency, accountability, and continuous improvement.  

Protect and govern data responsibly:  

• Implement and enforce data security measures and maintain data governance standards and access controls to protect sensitive data.
• Ensure compliance with health care data regulations and industry best practices.  

The skills and experience you bring to this role include:    

• Bachelor’s degree in computer science, Informatics, Information Systems, or another quantitative field. 
• 10+ years of experience in data engineering or a similar role with demonstrated technical leadership experience.  
• Expertise building and administering, including writing views, stored procedures, and triggers, in AWS-native data systems (Redshift, Aurora, RDS PostgreSQL, Glue, Lambda, Step Functions, MWAA-Airflow).
• Strong Python and SQL experience, including advanced query design and database optimization.
• Experience with healthcare data (Medical Claims, Rx Claims) or similar healthcare data is required.  
• Ability to develop subject-matter expertise and partner thoughtfully with business teams.
• Trusted partner: reliable to deliver accurate work in a timely manner. 
• A passion for working with a team to improve how data drives meaningful outcomes.  

Salary Considerations: 

Anticipated annual base pay range: $130,000 - $150,000 plus additional variable compensation based on performance.

At Evio, we’re committed to building a competitive compensation package to honor the value our teammates bring as well as attract and retain top talent that is aligned with our culture, mission and values. Compensation includes base pay (range shown) and could include other variable compensation opportunities depending on job seniority, location, and date of hire. Evio also offers a number of attractive benefits to eligible teammates including health insurance, retirement savings, life and disability insurance, paid and unpaid time off, and other benefits to make sure Evio teammates and families are well supported.  

Please note that the base pay information shown is a general guideline for the job responsibilities and qualifications listed. Salary decisions are based on candidate experience, and market and business considerations. 

  Evio Benefits:

• Great Health Insurance
  The company pays 100% of medical, dental, and vision premiums for teammates, and 50% for dependents.
• 401K Match
  Evio matches 100% of teammate contribution up to 5% of salary, subject to IRS limits. 
• Time Off
  We have a flexible vacation policy for teammates to unplug and recharge when you need it. There is no minimum or maximum amount of vacation allowed per year, and there is no payment in consideration for unused vacation. Vacation is to be used at your discretion, with approval of leadership.
• Parental Leave
  Generous paid leave for new parents (includes birth and non-birth parents).

Evio values a diverse workplace and is committed to supporting and celebrating the diversity that each teammate brings to the table. We are proud to provide equal employment opportunities to all teammates and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.  

About the Role

The Revenue Operations team at Gusto is a full-stack team responsible for data, analytics, and operational excellence in pursuit of scaling our revenue growth. The Go-To-Market Analytics team is one functional area, responsible for defining and owning the metrics for scaling our Sales teams. 

Gusto is looking for a Revenue Analytics Engineer to build and maintain foundational data infrastructure that is crucial to growing and scaling our Sales efforts. In this role, you will partner with our GTM analysts to scope and deliver data products for an audience ranging from company and revenue leadership to operational and frontline sales. In doing so, you will own significant portions of our sales data from end-to-end, focusing on the transformation, design, and visualization workflows. In addition, you will establish best practices for systems design and workflows to maximize usefulness of AI at scale. 

This role will report to the Head of Go-To-Market analytics, and partner closely with Data Science, Data Platform, and Business Technology teams. 

Here’s what you’ll do day-to-day:

• Establish relationships with internal stakeholders to determine business needs, scoping and delivering solutions through data products
• Design, build, and maintain data pipelines and dashboards to automate “keep the lights on” work out of manually-managed processes
• Build a data foundation by incorporating business logic into raw data tables, laying the groundwork to enable value-add insights
• Create a dynamic reporting environment based on stakeholder needs
• Identify data discrepancies and set best practices for data logic to create a clean and well-documented environment
• Collaborate with broader data organization as steward to the definition and process management of core Gusto metrics

Here’s what we're looking for:

• Education or work experience in Engineering or Computer Science, or a related technical field 
• 7+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
• Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, etc.
• Command-line experience and familiarity with version control collaboration tools (git)
• Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and data modeling tools (dbt)
• Experience with data visualization technologies, e.g., Tableau, Looker, Sigma, Mode, Hex
• Experience with Python and data ingestion tools
• Ability to problem-solve open-ended problems and project manage dependencies and timelines to optimal outcomes
• Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA 

Our cash compensation amount for this role is targeted at $138,000-156,000 in Denver & most remote locations, and $168,000-189,000 in New York & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

About the Role:

We are looking for a Senior Software Engineer to architect, build, and maintain the data infrastructure at Gusto.  As part of the Data Platform team, you will collaborate closely with Data Science, Business Intelligence, and analysts across Gusto teams to help them achieve their goals. 

The Data Platform position is a software development role with knowledge of data architectures and data delivery. The ideal candidate is passionate about developing software, working with data, and

Here’s what you’ll do day-to-day:

• Architect, build, and refine our infrastructure and tools that enable other teams to work with data.
• Efficiently handle vast amounts of clickstream, database, and third party application data, processing in batch and real-time
• Take full ownership of the solutions you build, working with stakeholders to develop requirements, implement solutions, monitor production, and troubleshoot problems that arise.
• Work as part of a team. We value team players who share their knowledge and like collaborating with others.

Here’s what we're looking for:

• • At least 7 years of software engineering experience.
  • Experience building solutions in the cloud, AWS preferred (Redshift, MSK, EMR).
  • Experience with OLAP databases (Clickhouse)
  • Experience building data pipelines at scale, Airflow and Python preferred.
  • Experience with streaming systems desired (Kafka, Kinesis, or similar).
  • Ability to turn vague requirements into clear deliverables with minimal guidance.
  • Experience building and maintaining a modern data stack in production.

Our cash compensation amount for this role is targeted at $163,000-$204,000/year in Denver, $178,000-$223,000/year in Los Angeles, and $197,000-$247,000/year for San Francisco, New York, and Seattle. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

• 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
• Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
• Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
• Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
• Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
• Proven ability to optimize performance and cost across data workflows and storage systems
• Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
• Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $166,400 - $208,000

*This is a remote role

#LI-Remote

Location: Remote 

Position Summary: 

Join our Scalability team as a Senior Scalability Engineer focused on streaming and realtime systems. In this role, you will own the architecture and expansion of our streaming data infrastructure, including WAL-based database replication, change data capture (CDC) systems, and realtime event processing. Your work will handle systems processing hundreds of thousands to millions of records per batch while maintaining strict ordering guarantees and exactly-once semantics. Working closely with our clients and cross-functional teams, you'll build foundational streaming infrastructure while partnering directly with product teams to implement realtime capabilities that power critical business workflows. 

Position Responsibilities: 

In this role, you'll provide technical leadership while delivering hands-on solutions for high-impact performance challenges. You will: 

• Own streaming infrastructure: Design, implement, and expand WAL-based replication systems that process database changes through Kinesis to Snowflake and Redshift, handling millions of records while maintaining strict ordering and delivery guarantees. 
• Build CDC systems: Architect and implement change data capture infrastructure for cross-platform data synchronization, enabling realtime analytics and event-driven workflows across the organization. 
• Develop shared libraries: Create reusable Kinesis/SNS consumer patterns and libraries used across multiple teams, establishing best practices for event processing, error handling, and observability. 
• Partner with product teams: Work directly with teams to design and implement realtime data processing solutions tailored to their business needs, providing technical guidance and hands-on support. 
• Ensure data reliability: Implement exactly-once processing semantics, dead letter queues, retry strategies, and monitoring to guarantee data integrity across streaming pipelines. 
• Build observability: Develop monitoring, alerting, and dashboards for streaming pipelines to track throughput, lag, data quality issues, and system health using the LGTM stack.  
• Demonstrate technical leadership: Mentor engineers on streaming architecture patterns, lead design reviews for event-driven systems, and represent the Scalability team in cross-functional planning. 
• Make strong architectural choices through careful evaluation and prior experience with distributed systems.
• Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance. 

Required Qualifications: 

• 10+ years of software engineering experience with demonstrated progression into technical leadership roles. 
• 3+ years of experience leading technical initiatives, architecting distributed systems, or serving as a subject matter expert on streaming infrastructure. 
• Strong expertise in Python (Flask/SQLAlchemy) for production applications. 
• Deep PostgreSQL knowledge: Understanding of write-ahead logs, replication, logical decoding, and change data capture mechanisms.
• Production streaming experience: Proven track record building and operating high-throughput streaming systems using Kinesis, Kafka, or similar event streaming platforms. 
• Distributed systems expertise: Strong understanding of ordering guarantees, exactly-once semantics, partition strategies, backpressure handling, and fault tolerance patterns. 
• AWS experience: Production experience with Kinesis, S3, SNS/SQS, Lambda, ECS, and data pipeline orchestration.  
• Data warehouse knowledge: Experience loading data into Redshift, Snowflake, or similar analytical databases.  
• Systems thinking: Ability to design resilient, observable streaming architectures that balance throughput, latency, and reliability.  
• Collaboration and communication: Strong written and verbal communication skills with ability to work autonomously while driving proactive collaboration in a remote environment. 

(Optional) Preferred Qualifications:   

• Rust development experience or strong interest in learning Rust for high-performance systems.
• Infrastructure as code: Experience with Terraform or similar IaC tools for managing cloud infrastructure. 
• Observability tools: Hands-on experience with Grafana, Prometheus, Loki, or similar monitoring/alerting platforms.  
• Event-driven architectures: Background designing event sourcing, CQRS, or other event-driven patterns.
• Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. 

This range represents the low and high end of the anticipated base salary range for the NY - based position. The actual base salary will depend on several factors such as: experience, knowledge, and skills, and if the location of the job changes. 

Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. 

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Customer Support Engineer for our API Connector Team. At Fivetran, our Customer Support Engineers (CSEs) take on exciting technical challenges while partnering with internal and external stakeholders to drive issues to a timely resolution. As a Support Engineer, you will partner with some of the most passionate teams in the world, our customer teams, to deliver a best-in-class experience. Through a collaborative and holistic approach that is focused on the resolution and prevention of issues, our CSEs as our customer’s technical champion within Fivetran.

This is a full-time, hybrid position based out of our Denver or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You’ll Do

• Provide virtual technical support to Fivetran customers and partners.
• Work closely with Fivetran customers and other stakeholders to ensure high customer satisfaction and timely resolution of reported issues.
• Investigate and Troubleshoot technical issues within the Fivetran environment using logs, internal/external tools, and foundational knowledge of our product and technologies.
• Work closely with Fivetran’s Dev team to identify and resolve bugs and issues impacting Fivetran customers.
• Become a Subject Matter Expert on the Fivetran API Connectors and related technologies.
• Document any known or newly identified solutions in our knowledge base and share this knowledge across the team.
• Collaborate with teammates on technical and non-technical projects.
   

Skills We’re Looking For

• 2+ years of relevant professional experience
• Strong customer advocacy skills, demonstrated over email and on video calls or screen shares
• Excellent written and verbal communication skills in English
• Experience troubleshooting APIs, including:
  • Making API requests
  • Interpreting responses and standard error codes
  • Navigating and understanding API documentation
• Basic understanding of networking fundamentals, including the TCP/IP model
• Experience working with databases, both SQL and NoSQL
  • Familiarity with basic SQL queries and commands
• Knowledge of and experience with data warehouse infrastructure, such as Snowflake, Databricks, BigQuery, and Amazon Redshift
• Ability to read and analyze logs to investigate and identify issues
• Comfortable navigating GitHub and submitting Pull Requests
• Strong, process-oriented troubleshooting and problem-solving skills
• Ability to thrive in a highly collaborative, global team environment

#LI-HYBRID #LI-EM1

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Customer Support Engineer for our API Connector Team. At Fivetran, our Customer Support Engineers (CSEs) take on exciting technical challenges while partnering with internal and external stakeholders to drive issues to a timely resolution. As a Support Engineer, you will partner with some of the most passionate teams in the world, our customer teams, to deliver a best-in-class experience. Through a collaborative and holistic approach that is focused on the resolution and prevention of issues, our CSEs as our customer’s technical champion within Fivetran.

This is a full-time, hybrid position based out of our Denver or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You’ll Do

• Provide virtual technical support to Fivetran customers and partners.
• Work closely with Fivetran customers and other stakeholders to ensure high customer satisfaction and timely resolution of reported issues.
• Investigate and Troubleshoot technical issues within the Fivetran environment using logs, internal/external tools, and foundational knowledge of our product and technologies.
• Work closely with Fivetran’s Dev team to identify and resolve bugs and issues impacting Fivetran customers.
• Become a Subject Matter Expert on the Fivetran API Connectors and related technologies.
• Document any known or newly identified solutions in our knowledge base and share this knowledge across the team.
• Collaborate with teammates on technical and non-technical projects.
   

Skills We’re Looking For

• 2+ years of relevant professional experience
• Strong customer advocacy skills, demonstrated over email and on video calls or screen shares
• Excellent written and verbal communication skills in English
• Experience troubleshooting APIs, including:
  • Making API requests
  • Interpreting responses and standard error codes
  • Navigating and understanding API documentation
• Basic understanding of networking fundamentals, including the TCP/IP model
• Experience working with databases, both SQL and NoSQL
  • Familiarity with basic SQL queries and commands
• Knowledge of and experience with data warehouse infrastructure, such as Snowflake, Databricks, BigQuery, and Amazon Redshift
• Ability to read and analyze logs to investigate and identify issues
• Comfortable navigating GitHub and submitting Pull Requests
• Strong, process-oriented troubleshooting and problem-solving skills
• Ability to thrive in a highly collaborative, global team environment

#LI-HYBRID #LI-EM1

About the Role

Fivetran is the one platform for moving the world’s data from every source to every destination to power every innovation.

To support our growth, our Product Growth Partners (PGPs) are central to Fivetran’s self-service motion, enabling thousands of customers to succeed at scale. PGPs design and deliver many-to-1 enablement programs, proactively reduce friction for self-service users, and intervene with precision when accounts need additional guidance. PGPs ensure that customers who can self-serve do so seamlessly, while those who need help receive the right support at the right time.

This is a full-time, hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You'll Do

• Accelerate Self-Service Success
  • Guide new trial users and existing customers to value through scalable programs such as webinars, office hours, and educational sessions.
  • Direct customers/prospects to resources (help docs, videos, automations) that resolve blockers without requiring 1:1 intervention.
• Deliver Targeted Customer Interventions
  • Identify accounts showing clear setup friction or usage blockers and step in with qualified, high-value interventions.
  • Drive trial-to-paid conversions where PGP guidance removes obstacles and enables customers to commit to a paid plan.
• Run Many-to-1 Programs
  • Design, host, and optimize scalable programs (hands-on labs, “best practice” webinars, AMA sessions) that drive activation, adoption, and expansion at scale.
  • Measure program reach, engagement quality, and downstream business impact (trial conversion, connector expansion, MAR growth).
• Enable Expansion Readiness
  • Identify accounts with expansion potential (new connectors, workloads, or use cases) and surface them for sales or CSM follow-up when appropriate.
  • Share preventative guidance to reduce drop-offs and ensure smooth adoption as accounts scale.
• Advocate for Customers
  • Capture customer insights and funnel them back to product, engineering, and marketing teams to improve self-service experiences.
  • Build scalable resources (guides, templates, content) that multiply across the customer base.
• Handle Reactive Needs
  • Support “lights-on” requests (low-touch commercial tasks, small contract adjustments, billing/account escalations) efficiently and effectively.
     

Skills We're Looking For

• Experience: 1–2 years in customer success, product support, enablement, or similar role.
• Customer-Centric Mindset: Ability to diagnose customer friction points and provide clear, scalable solutions.
• Technical Proficiency: Foundational knowledge in SQL, APIs, cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift), and basic data ELT concepts. 
• Program Builder: Experience running group enablement (webinars, labs, training, or community events) preferred.
• Analytical Skills: Comfortable using CRM and product analytics to identify usage patterns, triggers, and opportunities.
• Collaboration: Proven ability to partner with cross-functional teams (product, sales, support, RevOps) to improve customer outcomes.
• Communication: Strong written and verbal communication skills for both 1:1 and many-to-1 interactions.
• Adaptability: Thrives in an environment where success is measured by customer outcomes and scalable impact, not quota attainment.

#LI-Hybrid #LI-LW1

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the role 

At Evio, we are building solutions that improve how pharmacy works—and ultimately, how patients experience care. Our application-based digital solutions are central to that mission. 

We’re looking for a Senior Full Stack Engineer who wants to build reliable systems that bring these solutions to life. The Senior Full Stack Engineer will be responsible for designing, developing, and supporting scalable, cloud-native applications. This role owns the technical design and evolution of our applications, working across the full stack, from intuitive user interfaces to resilient backend services and cloud-native infrastructure.  

This is a hands-on role for someone who enjoys both building and shaping systems, and who wants to play a meaningful role in a growing, mission-driven team.  

What you’ll do  

• Design, develop, and maintain cloud-native applications on AWS using serverless and container-based architectures 
• Build full stack features, including user interfaces and backend services 
• Develop and support containerized services running on ECS/Fargate with images stored in ECR 
• Implement and maintain CI/CD pipelines using GitHub Actions 
• Own the architecture and technical direction of a new cloud-native application  
• Lead design decisions across services, REST APIs, and data pipelines 
• Design and implement data pipelines and workflows using AWS Glue (PySpark) and Step Functions 
• Ensure the application is scalable, secure, and reliable in a regulated (HIPAA) environment 
• Collaborate with cross-functional teams including product, design, and engineering 
• Provide mentorship and technical guidance to team members 

 Qualifications 

• Bachelor’s degree in computer science, engineering, or related field (or equivalent experience) 
• 7+ years of software engineering experience 
• Experience building cloud-native applications using AWS 
• Strong frontend development experience with React and TypeScript 
• Backend experience with Python and REST APIs 
• Experience with distributed systems, event-driven architecture, or data pipelines 
• Strong understanding of relational databases and SQL 
• Experience contributing to system design and architecture decisions 
• Strong problem-solving and communication skills across teams and levels  
• Someone who takes initiative, unearths problems, and leads with solutions  
• Ability to navigate ambiguity and drive clarity in complex problem spaces  
• Ownership mindset with a focus on delivering measurable outcomes   
• Strong product and business awareness when making technical decisions  
• Comfortable giving and receiving constructive feedback  
• Pragmatic approach to balancing speed, quality, and technical debt 
•  Experience in healthcare, pharmacy, or regulated environments 
• Knowledge of HIPAA and PHI requirements 
• Experience with Apache Iceberg or modern data lake technologies 
• AWS certifications 

 Technology Stack 

• Frontend - React.js, TypeScript, Vite - Material UI, Redux Toolkit, React Router - styled-components 
• Backend & Services - Python (primary), Node.js (as needed) - REST APIs, microservices - AWS Lambda, AWS Step Functions - AWS Glue (PySpark) 
• Cloud & Infrastructure - AWS (Lambda, API Gateway, ECS, Fargate, ECR) 
• Data Platform - Amazon S3, Amazon Redshift - Apache Iceberg 
• DevOps & Tooling - GitHub Actions - Infrastructure-as-Code (CDK, Terraform, or similar)

Compensation: $155,000 - $170,000 plus additional variable compensation based on performance.

At Evio, we’re committed to building a competitive compensation package to honor the value our teammates bring as well as attract and retain top talent that is aligned with our culture, mission, and values. Compensation includes base pay (range shown) and could include other variable compensation opportunities depending on job seniority, location, and date of hire.   

Evio Benefits

• Great Health Insurance
  The company pays 100% of medical, dental, and vision premiums for teammates, and 50% for dependents.
• 401K Match
  Evio matches 100% of teammate contribution up to 5% of salary, subject to IRS limits.
• Time Off
  We have a flexible vacation policy for teammates to unplug and recharge when you need it. There is no minimum or maximum amount of vacation allowed per year, and there is no payment in consideration for unused vacation. Vacation is to be used at your discretion, with approval of leadership.
• Parental Leave
  Generous paid leave for new parents (includes birth and non-birth parents).

Evio values a diverse workplace and is committed to supporting and celebrating the diversity that each teammate brings to the table. We are proud to provide equal employment opportunities to all teammates and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.   

What You'll Do

We are seeking a Lead Actuarial Analyst, MA Risk Adjustment to join our high-performing, insights-driven team. You will play a critical role in evaluating financial performance, uncovering areas of opportunity, and use your 3+ actuarial exam progress to help translate complex data into actionable strategies. Your work will directly influence how Strive supports patients, clinicians, and markets in achieving both clinical and financial success. (This position is internally titled Lead Analyst, Risk Adjustment Analytics). This individual will work on a hybrid basis with 2-3 days each week in our Denver HQ.

Essential Functions 

• Translate RA performance data into clear financial insights (i.e. revenue impact, payment accuracy, ROI, forecasting). 
• Analyze CMS data to identify areas of opportunity to increase operational efficiency. 
• Interpret trends, model scenarios, and assess program and policy impacts. 
• Enable data-driven decisions by linking operational performance to enterprise financial outcomes. 
• Perform end-to-end reconciliation from submissions to CMS acceptance, RAF leakage, and implement controls. 
• Develop business cases to assess opportunity, determine target metrics, and provide data driven insights to support investment decisions (i.e. staffing, tech, etc.). 
• Prepare and deliver clear and concise reports, presentations, and recommendations to senior leadership, illustrating the findings and implications of analyses conducted. 

Who You Are 

• A highly analytical problem-solver with a strong sense of ownership and intellectual curiosity. 
• Able to manage a high volume of recurring and ad hoc deliverables without compromising quality. 
• Comfortable navigating ambiguity and bringing structure to complex problems. 
• An exceptional communicator who can translate technical findings into actionable business recommendations. 

Qualifications 

• 4+ years of experience in risk adjustment analytics. 
• 4+ years of experience analyzing MMR, MOR, MAO-004 and medical claims data. 
• 3+ actuarial exams passed. 
• High degree of proficiency in Microsoft Excel and SQL.  
• Experience with PBI, Redshift, dbt docs is a plus. 
• Bachelor’s degree in a quantitative or health-related field (e.g., Economics, Public Health, Statistics, Health Services Research, Math, Finance). 

Annual Salary Range: $99,000 - $124,000. This position is also eligible for a target annual bonus of 10%

YOUR MISSION 

True Anomaly does not have a central data platform today. Data lives in disconnected systems: PLM, ERP, project management, source control, and documentation tools, with no warehouse, no unified data model, and no programmatic access layer. As Senior Manager of Data Engineering, you will build this capability from scratch: the platform, the pipelines, the team, and the operating model. Your first priority is enabling the AI Platform Engineering team, which depends on a reliable data foundation to deliver on the company’s top strategic priority. Beyond AI, the data platform will serve engineering, programs, manufacturing, and business operations across the company. This is a player-coach role. You will be writing code and making architecture decisions on day one while simultaneously hiring and developing a high-performing team. 

RESPONSIBILITIES 

• Build the data engineering function from zero: design the data platform architecture, stand up the initial infrastructure, and start delivering value before the team is fully hired 

• Hire and lead a team of 5 data engineers, recruiting top-tier technical talent who thrive in ambiguous, fast-moving environments 

• Design and build the company’s data warehouse, unified data model, and pipeline infrastructure, connecting systems like PLM (Teamcenter), ERP (NetSuite), Jira, Git, and Confluence into a single reliable data layer 

• Partner closely with the AI Platform Engineering team to provide the data infrastructure they need as a critical-path dependency for the company’s AI strategy 

• Serve as the technical authority for data architecture decisions during the team’s formative period: technology selection, data modeling patterns, pipeline design, and the foundational choices the rest of the team will build on 

• Work across the company to understand data needs from engineering, programs, manufacturing, and business operations, and translate those into a platform that serves all of them 

QUALIFICATIONS 

• 8+ years of experience in data engineering, data infrastructure, or related fields, with 3+ years building and leading data engineering teams 

• Strong hands-on skills in modern data stack technologies: data warehousing (Snowflake, BigQuery, Redshift, or similar), ETL/ELT pipelines, data modeling, and orchestration tools (Airflow, Dagster, or similar) 

• Experience building data platforms from scratch, not just maintaining or extending existing ones 

• Track record of hiring and developing high-performing engineering teams in fast-paced environments 

• Ability to work across the full stack of data engineering: from source system connectivity and pipeline reliability to data modeling and serving layer design 

• Strong communication skills and comfort working with stakeholders across technical and non-technical functions to understand requirements and set priorities 

PREFERRED SKILLS AND EXPERIENCE 

• Experience in aerospace, defense, or manufacturing environments where data spans engineering tools (PLM, MBSE, CAD/CAM) and enterprise systems (ERP, project management) 

• Background working with AI/ML teams as a data platform provider, with an understanding of what those teams need from the data layer 

• Experience connecting complex, heterogeneous source systems with different schemas, update cadences, and access patterns 

• Familiarity with data governance and data quality practices, and experience building organizational trust in data products 

• Prior experience at a company poised for aggressive growth where the data platform had to scale ahead of demand 

• Active U.S. security clearance at any level 

COMPENSATION  

• Base Salary:   Long Beach - $165,000 to $230,000, Denver - $160,000 to $220,000

• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education and experience. 

ADDITIONAL REQUIREMENTS 

• U.S. citizenship required; clearance eligibility required; active clearance at any level preferred 

• Work Location: this role will be fully onsite at our facilities in Centennial, CO or Long Beach, CA  

• Work environment is in a standard office, working at a desk or in a production factory. 

• Physical demands may include frequent standing, sitting, walking, bending, and lifting or carrying items up to 20lbs. 

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (IT 

1. AR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. 

We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. True Anomaly is committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. 

What You'll Do

We are seeking a Lead Analyst, Risk Adjustment Analytics to join our high-performing, insights-driven team. You will play a critical role in evaluating financial performance, uncovering areas of opportunity, and translating complex data into actionable strategies. Your work will directly influence how Strive supports patients, clinicians, and markets in achieving both clinical and financial success. 

Essential Functions 

• Translate RA performance data into clear financial insights (i.e. revenue impact, payment accuracy, ROI, forecasting). 
• Analyze CMS data to identify areas of opportunity to increase operational efficiency. 
• Interpret trends, model scenarios, and assess program and policy impacts. 
• Enable data-driven decisions by linking operational performance to enterprise financial outcomes. 
• Perform end-to-end reconciliation from submissions to CMS acceptance, RAF leakage, and implement controls. 
• Develop business cases to assess opportunity, determine target metrics, and provide data driven insights to support investment decisions (i.e. staffing, tech, etc.). 
• Prepare and deliver clear and concise reports, presentations, and recommendations to senior leadership, illustrating the findings and implications of analyses conducted. 

Who You Are 

• A highly analytical problem-solver with a strong sense of ownership and intellectual curiosity. 
• Able to manage a high volume of recurring and ad hoc deliverables without compromising quality. 
• Comfortable navigating ambiguity and bringing structure to complex problems. 
• An exceptional communicator who can translate technical findings into actionable business recommendations. 

Qualifications 

• 4+ years of experience in risk adjustment analytics. 
• 4+ years of experience analyzing MMR, MOR, MAO-004 and medical claims data. 
• 3+ actuarial exams passed. 
• High degree of proficiency in Microsoft Excel and SQL.  
• Experience with PBI, Redshift, dbt docs is a plus. 
• Bachelor’s degree in a quantitative or health-related field (e.g., Economics, Public Health, Statistics, Health Services Research, Math, Finance). 

Annual Salary Range: $99,000 - $124,000. This position is also eligible for a target annual bonus of 10%