Principal Data Engineer

Overview

This is a full-time and exempt position.

Location: Minneapolis, MN or Washington, DC

• Design and own DUOS' data architecture on AWS, ensuring scalable, maintainable infrastructure for all data operations
• Build robust, automated pipelines for client file ingestion, normalization, deduping, and enrichment.
• Architect scalable ingestion into Salesforce, Iterable, or other operational systems.
• Implement versioned, testable, observable data transformations and modeling layers.

• Write and maintain production-quality code that integrates with DUOS’ existing engineering pipelines and CI/CD workflows
• Own the full software development lifecycle for data platform components: design, implementation, testing, deployment, and maintenance
• Ensure all code meets engineering standards for readability, maintainability, documentation, and test coverage
• Contribute to and follow shared coding standards, code review processes, and version control practices
• Build reusable libraries, modules, and frameworks that other engineers can extend and maintain

• Build AI-driven tools enabling natural-language querying, automated insights, metadata discovery, and semantic layer navigation.
• Define and maintain DUOS’ metrics layer enabling self-serve dashboards and consistent KPI definitions.
• Evaluate and integrate modern AI analytics tools.

• Create reusable, well-documented data models powering all dashboards and operational reporting.
• Ensure consistent, durable logic for funnels, cohorting, attribution, ROI calculations, provider/member analytics, etc.
• Serve as the architectural owner of “source of truth” data assets.

• Own data flows into and out of client systems, marketing systems, Salesforce, and product pipelines.
• Partner with Engineering to ensure product features are instrumented correctly.
• Partner with Ops to ensure operational workflows are accurately captured and measurable.

• Implement systematic validation, schema monitoring, anomaly detection, and SLAs for critical data assets.
• Resolve upstream data issues proactively and improve reliability across ingestion paths.
• Define standards for naming, modeling, versioning, and documentation.
• Set the long-term vision for DUOS’ analytics platform and data architecture.
• Mentor data analysts, engineers, and cross-functional teams on best practices in analytics engineering, AI-enabled analytics, and data governance.

• Proficiency in at least one general-purpose programming language (Python, Java, Go, or Scala) with demonstrated ability to write production-quality, maintainable code - not just ad-hoc scripts
• Experience working within established engineering codebases, including familiarity with version control (Git), code review workflows, CI/CD pipelines, and automated testing
• Ability to design and implement modular, well-structured code that other engineers can read, maintain, and extend
• Understanding of software engineering best practices: clean code principles, appropriate abstraction, error handling, logging, and documentation

• Expert-level SQL (Athena and Postgre
  
  SQL), data modeling, and analytics engineering.
• Deep experience building data pipelines on AWS
• Strong understanding of analytics tools and semantic layer design
• Experience building or integrating AI-driven analytics tools
• Ability to design complex ingestion workflows with multiple external data sources (Salesforce, Iterable, AWS, etc.)

• High autonomy, strong architectural judgment, and ability to own company-critical systems end-to-end
• Track record of delivering production systems that are robust, observable, and maintainable over time
• 8-12 years professional experience

DUOS is more than just a consumer-focused healthcare company. We’re on a mission to reimagine freedom at any age. We form trusted relationships with older adults using technology and community to support fulfilling lives  hire awesome people who are wired for service and arm them with the tools they need to have a life-changing impact on others.