Remote Data Platform Engineer – Self-Serve, Governed Data

53 Stations

United States

Remote

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Function Health is hiring a Data Engineer for a remote role in the United States. You will own data infrastructure, build scalable pipelines, and enable safe, self-serve data flows for analytics and ML models.

You will collaborate with engineers, data scientists, and product teams to ensure data quality, governance, and rapid iteration in a lakehouse architecture using Databricks, Snowflake, and BigQuery. This role offers a remote, full-time opportunity with growth in a fast-moving health-tech

Qualifications

  • Experience building internal platforms or infrastructure adopted by engineers.
  • Experience operating production data or ML systems; on-call support.
  • Strong Python and SQL skills; comfortable in a lakehouse environment.
  • Experience designing interfaces and schemas used by multiple teams.
  • Experience testing and CI for data/ML; handle statistical correctness.
  • 1-4 years of engineering experience; focus on what you built.

Responsibilities

  • Track infrastructure for product analytics, experiments, and feature gates.
  • Develop data processing infra in Databricks and contract testing.
  • Build ML infrastructure for feature computation and model serving.
  • Enable self-service through templates, dev environments, and PHI policy.

Skills

Python
SQL
Databricks
Data pipelines
CI/CD testing
On-call reliability
System design

Tools

Databricks
Snowflake
BigQuery

Job description

Function Health is hiring a Data Engineer for a remote role in the United States. You will own data infrastructure, build scalable pipelines, and enable safe, self-serve data flows for analytics and ML models.

You will collaborate with engineers, data scientists, and product teams to ensure data quality, governance, and rapid iteration in a lakehouse architecture using Databricks, Snowflake, and BigQuery. This role offers a remote, full-time opportunity with growth in a fast-moving health-tech

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