3 months ago

Staff Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Staff Data Engineer to architect and deliver foundational data products and serving capabilities for Komodo Health's Healthcare Map, shaping data modeling, analytics enablement, and scalable delivery patterns across product, data science, and application teams at enterprise scale.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Data Product Development & Delivery: Architect, build, and deliver scalable Healthcare Map data products that power direct 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 the right tools for the problem across SQL, Python, Spark, Rust, C++, and emerging AI-enabled engineering workflows.
•Foundational Data Models: Create shared data models, productized datasets, reusable libraries, and technical standards that become the foundation 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 healthcare use cases into production-grade technical designs and execution plans.

Pay and Benefits

Salary: USD 208,000 - 282,000 annually

Perks:Health InsuranceDentalVision401kRemote WorkPaid Leave

Key Requirements

•Data Product Engineering Expertise: extensive experience building production-grade, large-scale data products, services, and analytical systems that serve real customer and business use cases.
•Modern Data Systems Depth: strong technical depth across SQL, distributed data processing, cloud data platforms, MPP databases, and high-scale compute frameworks such as Spark, Python, Rust, C++, or equivalent technologies.
•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.

Experience:HealthcareData

Skills:SQLPythonSparkRustC++APIsCI/CDObservability

Languages:English

Tech Stack:SQLPythonSparkRustC++APIsCI/CDObservability

Company Brief

Komodo Health

Provides a healthcare data platform that combines medical and administrative datasets with analytics to help life sciences companies, payers, and providers measure patient journeys, optimize research, and improve outcomes.

Industry: HealthTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: New York, United States

Founded: 2014

Website LinkedIn

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Komodo Health

3 months ago

Staff Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Data Product Development & Delivery: Architect, build, and deliver scalable Healthcare Map data products that power direct 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 the right tools for the problem across SQL, Python, Spark, Rust, C++, and emerging AI-enabled engineering workflows.
•Foundational Data Models: Create shared data models, productized datasets, reusable libraries, and technical standards that become the foundation 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 healthcare use cases into production-grade technical designs and execution plans.

Pay and Benefits

Salary: USD 208,000 - 282,000 annually

Perks:Health InsuranceDentalVision401kRemote WorkPaid Leave

Key Requirements

•Data Product Engineering Expertise: extensive experience building production-grade, large-scale data products, services, and analytical systems that serve real customer and business use cases.
•Modern Data Systems Depth: strong technical depth across SQL, distributed data processing, cloud data platforms, MPP databases, and high-scale compute frameworks such as Spark, Python, Rust, C++, or equivalent technologies.
•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.

Experience:HealthcareData

Skills:SQLPythonSparkRustC++APIsCI/CDObservability

Languages:English

Tech Stack:SQLPythonSparkRustC++APIsCI/CDObservability

Company Brief

Komodo Health

Industry: HealthTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: New York, United States

Founded: 2014

Website LinkedIn