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Komodo Health

Senior Data Platform Engineer

RemoteNot specified. Estimate: United States · 90% confidence
Published
Role
Data Engineering
Experience
Senior
$196k–$230k/yr
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The listing doesn't say where it hires from. It may hire in United States (90% confidence). This is an estimate, not an eligibility rule; verify before applying.Signals: the employer's other listings and employment terms.

No BS summary

Senior data platform engineer, hands-on, building and scaling large-scale production data pipelines for healthcare data (claims, EHR). Must have Python, SQL, Airflow, Spark, AWS and healthcare data experience (ICD-10, CPT, NDC, NPI). US-based — remote or SF/NYC hybrid.

Core skills

PythonAirflow/similar workflow orchestration toolsSpark/comparable distributed data processing frameworks

Required skills

SQLAWS

What you'll do

  • 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.

What they require

  • 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.

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

Komodo Health built the Healthcare Map, combining de-identified real-world patient data with algorithms and clinical experience to provide a view of the U.S. healthcare system and software applications for healthcare insights.

Healthcare
$196k–$230k/yr