Senior Data Engineer, Data Foundations

🕒 April 29

🇺🇸 United States – Remote

💵 $153k - $207k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Komodo Health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

☁️ SaaS

💰 $220M Series E on 2021-03

Healthcare Insurance • Artificial Intelligence • SaaS

Komodo Health is a data-driven healthcare technology company that leverages comprehensive patient-encounter data, innovative algorithms, and clinical expertise to transform healthcare challenges into meaningful insights. With their Healthcare Map, Komodo Health provides a precise view of the U. S. healthcare system, offering software applications such as MapExplorer™, MapAI™, Komodo Drug Projections, and more to improve clinical, commercial, and patient engagement outcomes. Their solutions help quantify scientific engagement, mine insights from patient journeys, and enhance the precision of healthcare strategies, ultimately reducing the burden of disease and advancing technology use in healthcare.

📋 Description

• Design and implement high-performance data processing and serving patterns across large-scale healthcare datasets using Spark, Python, Rust, and SQL. • Lead complex cross-functional initiatives, balancing trade-offs across scalability, reliability, performance, cost, and delivery speed. • Build and maintain robust data quality, validation, observability, lineage, monitoring, and alerting frameworks. • Architect scalable Healthcare Map data products that power APIs, analytics, internal tooling, and customer-facing applications. • Partner with Product, Data Science, and Platform teams to translate healthcare use cases into scalable technical solutions. • Drive engineering excellence across system design, code quality, testing, documentation, and CI/CD practices. • Mentor engineers through design reviews, technical coaching, and architectural guidance.

🎯 Requirements

• Experience designing data workflows, feature pipelines, or infrastructure that specifically supports AI/ML training, inference, experimentation, and monitoring. • Proven experience building large-scale, production-grade data products and analytical systems. • Strong expertise in SQL, distributed processing frameworks (e.g. Spark), cloud data platforms, and high-scale compute systems using Python and/or Rust. • Demonstrated ability to design scalable data models, platform components, and distributed system architectures. • Strong statistical and analytical skills; able to validate data quality and product outcomes through rigorous analysis. • Clear communicator who can explain technical decisions, trade-offs, and risks to engineers, product partners, and leadership.

🏖️ Benefits

• Comprehensive health, dental, and vision insurance • Flexible time off and holidays • 401(k) with company match • Disability insurance • Life insurance • Leaves of absence in accordance with applicable state and local laws and regulations