Senior Data Platform Engineer — Remote (US)

Komodo Health, Inc.; Northern, New York (KY, NY); Hybrid; USD 170,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Health, dental, vision insurance

401(k) with company match

Flexible time off

Job summary

Komodo Health is seeking a Senior Data Engineer to design, build, and operate large-scale data pipelines powering the Healthcare Map. You will transform vast datasets and ensure reliability, quality, and scalability across analytics and AI/ML use cases.

Join a team focused on data foundations, collaboration with product and engineering, and advancing data-driven health insights. Remote-friendly with US-wide opportunities and a strong benefits package is offered.

Qualifications

• Healthcare data experience across claims, clinical, RWE, provider, patient, or life sciences datasets, including coding systems such as ICD-10, CPT, NDC, or NPI.

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.

Skills

Python

SQL

Airflow

Spark

AWS

Data quality

Communication

AI tools usage

Job description

Komodo Health is seeking a Senior Data Engineer to design, build, and operate large-scale data pipelines powering the Healthcare Map. You will transform vast datasets and ensure reliability, quality, and scalability across analytics and AI/ML use cases.

Join a team focused on data foundations, collaboration with product and engineering, and advancing data-driven health insights. Remote-friendly with US-wide opportunities and a strong benefits package is offered.