Staff Data Engineer

Komodo Health; United States; Hybrid; USD 181,000 - 282,000; Full time

Benefits offered by this job

Comprehensive health, dental, and vision insurance

Flexible time off

401(k) with company match

Disability and life insurance

Job summary

A leading healthcare analytics company is looking for a Staff Data Engineer to spearhead the development of healthcare data products. Responsibilities include architecting scalable data systems and leading cross-functional initiatives. The candidate should have strong expertise in SQL and cloud data platforms, along with a proven ability to design system architectures for complex data environments. This position supports hybrid work arrangements across the U.S., offering competitive compensation and benefits.

Qualifications

• Extensive experience building production-grade, large-scale data products.
• Strong depth in SQL and cloud data platforms.
• Ability to design data models and system architectures for high-volume data.

Responsibilities

• Architect, build, and deliver scalable healthcare data products.
• Design and implement high-performance data processing across datasets.
• Build shared data models and reusable libraries for teams.

Skills

Data Product Engineering Expertise

Modern Data Systems Depth

Architecture & Systems Design

Healthcare Data Product Judgment

AI & ML Enablement

Analytical & Statistical Rigor

Technical Communication

AI-Augmented Engineering

Tools

SQL

Python

Spark

Rust

C++

Job description

At Komodo Health, our mission is to reduce the global burden of disease by leveraging data and advanced analytics. We build the Healthcare Map – the industry’s largest, most complete view of the U.S. healthcare system – to power our suite of applications that help partners answer complex healthcare questions.

The Opportunity at Komodo Health

Team: Data Foundations owns the core data products that power the Healthcare Map. We design and deliver foundational data assets, models, and serving capabilities that make healthcare data usable, performant, and trustworthy for customers and internal teams.

Mission: Architect and deliver foundational data products and serving capabilities that turn complex healthcare data into trusted, production‑ready assets for customers and applications. As a Staff‑level IC you will set technical direction across data modeling, productization, analytics enablement, and scalable delivery patterns.

Looking back on your first 12 months at Komodo Health, you will have accomplished…

• Architectural Advancement: Managed and delivered high‑impact projects introducing new technical and data services that significantly improved pipeline performance.
• Innovation in Healthcare Data: Developed deep domain knowledge and introduced algorithms addressing complex patient journey mapping.
• Collaborative Roadmap Delivery: Partnered across Data Product and Engineering to define requirements and deliver scalable, production‑grade solutions that meet business needs.
• Platform Hardening: Built and hardened core Data Foundations components, improving reliability, observability, and cost‑efficiency of the Healthcare Map products.
• Technical Multiplication: Mentored and up‑leveled the engineering team, raising the bar for code quality and system design through coaching and rigorous design reviews.

These are the essential job duties you will be responsible for…

• Data Product Development & Delivery: Architect, build, and deliver scalable Healthcare Map data products powering customer use cases, APIs, analytics surfaces, serving layers, and internal applications.
• Scalable Data Systems: Design and implement high‑performance data processing and serving patterns across large‑scale healthcare datasets using SQL, Python, Spark, Rust, C++, and emerging AI‑enabled workflows.
• Foundational Data Models: Create shared data models, productized datasets, reusable libraries, and technical standards for downstream product, analytics, and application teams.
• Serving & Consumption Enablement: Build data products that are easy to consume through APIs, serving layers, exports, analytics environments, and customer‑facing delivery mechanisms.
• Cross‑Functional Product Delivery: Partner with Product, Data Science, Quality, Platform, and application teams to translate complex use cases into production‑grade designs and execution plans.
• Technical Leadership: Lead multi‑quarter initiatives, making clear trade‑offs across performance, scalability, maintainability, cost, reliability, and time‑to‑market.
• Quality, Observability & Trust: Define and implement data quality checks, validation frameworks, observability, lineage, monitoring, and alerting to ensure accurate, explainable, and reliable products.
• Engineering Excellence: Raise the bar for system design, code quality, documentation, testing, CI/CD, and operational readiness across the team.
• Engineering Leverage: Mentor engineers through design reviews, deep dives, pairing, and architectural guidance to scale decision quality.

What you bring to Komodo Health (required):

• Data Product Engineering Expertise: Extensive experience building production‑grade, large‑scale data products serving real customer and business use cases.
• Modern Data Systems Depth: Strong depth in SQL, distributed data processing, cloud data platforms, MPP databases, and high‑scale compute frameworks such as Spark, Python, Rust, C++.
• Architecture & Systems Design: Demonstrated ability to design data models, serving patterns, platform components, and system architectures for complex, high‑volume data environments.
• Healthcare Data Product Judgment: Ability to reason through data quality, identity, longitudinal patient journeys, claims or clinical data complexity, and downstream consumption needs.
• AI & ML Enablement: Experience designing data workflows, feature pipelines, evaluation datasets, or infrastructure that supports AI/ML training, inference, experimentation, and monitoring.
• Analytical & Statistical Rigor: Strong ability to use data analysis, statistical reasoning, hypothesis testing, and experimental design to validate product quality and business impact.
• Technical Communication: Ability to explain technical decisions, trade‑offs, risks, and delivery status clearly to engineers, product partners, data scientists, and senior stakeholders.
• AI-Augmented Engineering: Ability to use AI tools such as ChatGPT, Gemini, Cursor, Claude, or similar systems to improve engineering productivity, design quality, testing, documentation, and decision‑making.

Additional skills and experience we’d prioritize (nice to have):

• Healthcare Data Experience: Experience with claims, clinical, RWE, provider, patient, or life sciences data, including familiarity with coding systems such as ICD‑10, CPT, NDC, RxNorm, NPI.
• Data Product Delivery: Experience building and operating data products consumed by customers, analytics users, APIs, applications, or serving layers.
• High‑Scale Data Architecture: Experience designing systems for large‑volume data processing, productization, versioning, delivery, performance optimization, and cost efficiency.
• Applied AI / Agentic Workflows: Experience using, designing, or integrating AI‑enabled workflows to improve engineering productivity, data quality, extraction, curation, testing, or product delivery.
• Fast‑Growth Execution: Experience operating in high‑growth or ambiguous environments where technical leaders balance architecture, delivery, quality, and speed.

Pay & Benefits. The starting annual base pay for this role is listed below. This position may also be eligible for performance‑based bonuses, equity awards, and benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and company policy.

San Francisco Bay Area and New York City: $208,000 - $282,000 USD

All Other US Locations: $181,000 - $245,000 USD

Komodo's AI Standard. At Komodo, we are not merely witnessing the AI revolution – we are leading it. AI is foundational to every role; we expect you to integrate AI into your daily work, from summarizing documents to automating workflows and uncovering insights.

Where You’ll Work. Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles may be performed from anywhere in the country or scoped to a specific region; hybrid expectations are clarified before you join.

Equal Opportunity Statement

Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.