# Senior Data Engineer, Data Foundations

**Company:** [Komodo Health](https://hotfix.jobs/companies/komodo-health)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $153k – $207k/yr
**Skills:** Spark, Python, Rust, SQL, Kubernetes, Airflow, AWS, GCP, Snowflake, dbt, Apache Kafka, Data Pipelines, ETL, Data Modeling, Data Quality Frameworks
**Posted:** 2026-04-29

> Designs, implements, and scales foundational data pipelines processing massive healthcare datasets using Spark, Python, Rust, and SQL. Leads cross-functional initiatives, ensures data quality, and enables AI/ML workflows for production-grade data products.

## Job Description

## Key Responsibilities
- 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.

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

## Nice to have
- Healthcare Data Experience: Direct experience with claims, clinical, RWE, provider, patient, or life sciences data, including familiarity with coding systems (**ICD-10**, **CPT**, **NDC**, **NPI**).
- Data Product Delivery: Experience building and operating data products specifically designed for external consumption via customers, APIs, or serving layers.
- High-Scale Data Architecture: Proven experience in optimizing systems for performance, cost efficiency, versioning, and large-volume data productization.
- Applied AI / Agentic Workflows: Experience applying AI/agentic workflows to engineering, data quality, or delivery processes.
- Fast-Growth Execution: Experience successfully operating in high-growth or ambiguous environments where leaders must adeptly balance architecture, delivery speed, and quality.

## Compensation
- **San Francisco Bay Area and New York City**: $176,000—$207,000 USD
- **All Other US Locations**: $153,000—$180,000 USD
- Eligible for performance-based bonuses, equity awards, comprehensive health/dental/vision insurance, flexible time off, 401(k) with company match, disability/life insurance.

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