Senior Data Platform Engineer

Join Komodo Health's Data Foundations team and play a critical role in shaping the core data products that fuel our Healthcare Map. The Senior Data Engineer will design, build, operate, and improve large-scale data pipelines and foundational data products that power Komodo’s Healthcare Map, analytics products, and downstream AI/ML-enabled use cases.

Responsibilities

Build, operate, and optimize large-scale production data pipelines using Python, SQL, Airflow, cloud infrastructure, and distributed processing frameworks; Transform massive healthcare claims, EHR, and reference datasets into trusted, performant Healthcare Map data products and serving-ready data assets; Strengthen pipeline reliability through data quality checks, validation, lineage, observability, monitoring, and alerting; Debug complex data, system, and performance issues across computationally intensive workflows; Partner with Data Product Quality, Product, Platform, and Engineering teams to translate healthcare data needs into scalable technical solutions; Contribute to system design, architecture, code quality, testing, documentation, CI/CD, and rotational production support; Enable downstream analytics, product, and AI/ML use cases through high-quality, well-modeled, reliable data

Requirements

Healthcare data experience across claims, clinical, RWE, provider, patient, or life sciences datasets, including coding systems such as ICD-10, CPT, NDC, or NPI; Strong hands-on experience building, operating, and debugging production-grade data pipelines at scale; Advanced Python and SQL skills, with experience in Airflow or similar workflow orchestration tools; Experience with Spark or comparable distributed data processing frameworks; Proven experience designing and operating data solutions in AWS; Strong instincts for data quality, reliability, root-cause analysis, and production troubleshooting; Ability to communicate technical trade-offs clearly and collaborate with engineering, product, and data partners; Comfort using AI-assisted engineering tools for productivity, debugging, documentation, and technical exploration; Expected to leverage AI-augmented engineering tools, such as ChatGPT, Gemini, or Claude, to improve productivity and technical decision-making

Nice to have

Experience delivering external-facing data products through customers, APIs, serving layers, or production access patterns; Ability to optimize high-scale data architectures for performance, cost, versioning, and large-volume productization; Experience applying AI or agentic workflows to engineering, data quality, delivery, or operations; Success in high-growth or ambiguous environments that require balancing architecture, speed, and quality

Benefits

Comprehensive health, dental, and vision insurance; Flexible time off and holidays; 401(k) with company match; Disability insurance and life insurance; Leaves of absence; Performance-based bonuses; Equity awards