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Software Engineer, Data Platform

Job not on LinkedIn

πŸ”₯ 4 minutes ago

πŸ‡ΊπŸ‡Έ United States – Remote

⏰ Full Time

🟒 Junior

🚰 Data Engineer

πŸš«πŸ‘¨β€πŸŽ“ No degree required

Where this job comes from

Posted on Function Health's careers page, not through a job board

First seen by Remote Rocketship 4 minutes ago

Logo of Function Health

Function Health

1001 - 5000 employees

Founded 2022

πŸ₯ Healthcare

πŸ‘₯ B2C

πŸ”₯ Funding within the last year

πŸ’° $450M Debt Financing on 2026-07

Healthcare β€’ B2C

Function Health is a consumer-focused healthcare company that provides comprehensive, subscription-based diagnostic testing and imaging services. For $365/year it offers 160+ lab tests (performed at 2,000+ labs or via mobile phlebotomy) and access to MRI/CT imaging, with results explained by physicians and supported by AI and tools to share with clinicians. The service is HSA/FSA-eligible and emphasizes early detection and longitudinal monitoring of hundreds to thousands of conditions through recurring testing and clinician interpretation.

πŸ“‹ Description

β€’ Build tracking infrastructure for product analytics, experimentation, and feature gates β€’ Enforce event schemas at the source β€’ Build data processing infrastructure using Bronze, Silver, and Gold layers in Databricks β€’ Implement automated schema evolution, contract tests, safe backfills, freshness monitors, and volume monitors β€’ Build ML infrastructure for feature computation and serving, training and evaluation pipelines, and model output integration into products β€’ Create self-service templates, local development and preview environments, policy-as-code for PHI, ownership routing for alerts, and progressive deployment gates β€’ Enable subject matter experts and agents to safely make data changes β€’ Establish data contracts, CI data diffing, validation gates, lineage, observability, and one-command rollback capabilities

🎯 Requirements

β€’ Built internal platform or infrastructure adopted by other engineers β€’ Operated production data or ML systems and participated in on-call support β€’ Strong Python and SQL skills β€’ Comfortable with Databricks and lakehouse environments; Snowflake or BigQuery experience translates β€’ Designed and evolved interfaces and schemas without breaking dependent teams β€’ Experience with testing and CI for data or ML systems β€’ 1–4 years of engineering experience β€’ Nice-to-have: dbt, DLT, Dagster, Airflow, Kafka, Spark Structured Streaming, data contracts, data diffing, lineage tooling, Terraform, feature stores, MLOps and evaluation tooling, agentic coding workflows, healthcare, PHI, or HIPAA experience

πŸ–οΈ Benefits

β€’ Competitive salary and benefits package β€’ Flexible working hours β€’ Dynamic work environment β€’ Creativity and innovation encouraged β€’ Diverse and inclusive workforce

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