Software Engineer, Data Platform

Job not on LinkedIn

🕒 October 30

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 16 days.
• Jobs at this company usually fill in 21 days.
• No salary listed.

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Function Health

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2022

🏥 Healthcare

👥 B2C

🔥 Funding within the last year

💰 $450M Debt Financing on 2026-07

Healthcare • 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.

📋 Description

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

🎯 Requirements

• Built internal platform or infrastructure adopted by other engineers • Operated production data or ML systems and participated in on-call support • Strong Python and SQL skills • Comfortable with Databricks and lakehouse environments; Snowflake or BigQuery experience translates • Designed and evolved interfaces and schemas without breaking dependent teams • Experience with testing and CI for data or ML systems • 1–4 years of engineering experience • 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

🏖️ Benefits

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

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