[Remote] Staff Data Engineer

Note: The job is a remote job and is open to candidates in USA. Komodo Health is dedicated to reducing the global burden of disease through smarter use of data. The Staff Data Engineer will architect and deliver foundational data products and capabilities that turn complex healthcare data into trusted, production-ready assets for customers and applications.ResponsibilitiesArchitect, build, and deliver scalable Healthcare Map data products that power direct customer use cases, APIs, analytics surfaces, serving layers, and internal applicationsDesign and implement high-performance data processing and serving patterns across large-scale healthcare datasets, using the right tools for the problem across SQL, Python, Spark, Rust, C++, and emerging AI-enabled engineering workflowsCreate shared data models, productized datasets, reusable libraries, and technical standards that become the foundation for downstream product, analytics, and application teamsBuild data products that are easy to consume through APIs, serving layers, exports, analytics environments, and customer-facing delivery mechanismsPartner with Product, Data Science, Quality, Platform, and application teams to translate complex healthcare use cases into production-grade technical designs and execution plansLead complex, multi-quarter initiatives, making clear trade-offs across performance, scalability, maintainability, cost, reliability, and time-to-marketDefine and implement data quality checks, validation frameworks, observability, lineage, monitoring, and alerting to ensure Healthcare Map products are accurate, explainable, and reliableRaise the bar for system design, code quality, documentation, testing, CI/CD, and operational readiness across the teamMentor engineers through design reviews, technical deep dives, pairing, and architectural guidance, helping the team make better decisions at scaleSkillsExtensive experience building production-grade, large-scale data products, services, and analytical systems that serve real customer and business use casesStrong technical depth across SQL, distributed data processing, cloud data platforms, MPP databases, and high-scale compute frameworks such as Spark, Python, Rust, C++, or equivalent technologiesDemonstrated ability to design data models, serving patterns, platform components, and system architectures for complex, high-volume data environmentsAbility to reason through data quality, identity, longitudinal patient journeys, claims or clinical data complexity, and downstream consumption needsExperience designing data workflows, feature pipelines, evaluation datasets, or infrastructure that supports AI/ML training, inference, experimentation, and monitoringStrong ability to use data analysis, statistical reasoning, hypothesis testing, and experimental design to validate product quality and business impactAbility to explain technical decisions, trade-offs, risks, and delivery status clearly to engineers, product partners, data scientists, and senior stakeholdersAbility to use AI tools such as ChatGPT, Gemini, Cursor, Claude, or similar systems to improve engineering productivity, design quality, testing, documentation, and decision-makingExperience with claims, clinical, RWE, provider, patient, or life sciences data, including familiarity with coding systems such as ICD-10, CPT, NDC, RxNorm, NPI, or taxonomy dataExperience building and operating data products that are consumed by customers, analytics users, APIs, applications, or serving layersExperience designing systems for large-volume data processing, productization, versioning, delivery, performance optimization, and cost efficiencyExperience using, designing, or integrating AI-enabled workflows to improve engineering productivity, data quality, extraction, curation, testing, or product deliveryExperience operating in high-growth or ambiguous environments where technical leaders must balance architecture, delivery, quality, and speedBenefitsPerformance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or planEquity awardsComprehensive health, dental, and vision insuranceFlexible time off and holidays401(k) with company matchDisability insurance and life insuranceLeaves of absence in accordance with applicable state and local laws and regulations and company policyHybrid work model with hubs in San Francisco, New York City, and ChicagoCompany OverviewKomodo Health is an IT firm that specializes in data engineering, life sciences, artificial intelligence, and machine intelligence services. It was founded in 2014, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is https://www.komodohealth.com/.Company H1B SponsorshipKomodo Health has a track record of offering H1B sponsorships, with 1 in 2026, 15 in 2025, 17 in 2024, 13 in 2023, 24 in 2022, 21 in 2021, 6 in 2020. Please note that this does not guarantee sponsorship for this specific role.