Platform Data Engineer - Remote, Self-Serve Data Infra

53 Stations; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Function Health is building an AI-driven health platform and seeks a Data Engineer to own data and ML infrastructure in a remote US setting. You will collaborate with engineers to ensure robust data pipelines, scalable storage, and reliable model deployment.

The role emphasizes declarative contracts, CI for data/ML, and secure handling of PHI, with a focus on fast, safe changes by subject‑matter experts and agents alike.

Qualifications

• Built internal platform or infrastructure that other engineers actually adopted.
• Operated production data or ML systems, on call for them, and fixed them under pressure.
• Strong Python and SQL. Comfortable in a lakehouse – we use Databricks; Snowflake or BigQuery translates fine.
• Designed interfaces and schemas that other teams depend on, then evolved them without breaking those teams.
• Thought hard about testing and CI for data or ML, where correctness is statistical and the failure is often silent.
• 1-4 years of engineering experience gets you here, but we care about what you’ve built, not the number.

Responsibilities

• Tracking infrastructure for product analytics, experimentation, and feature gates.
• Data processing infra: Bronze → Silver → Gold in Databricks, schema evolution, contract tests.
• ML infrastructure: feature computation, training/eval pipelines, model output integration.
• Self-service: templates, dev environments, policy-as-code for PHI, progressive gates.

Skills

Python

SQL

Databricks

Snowflake

BigQuery

CI/CD

Data engineering

ML systems

On-call

Tool adoption

Tools

dbt

DLT

Dagster

Airflow

Kafka

Spark Structured Streaming

Terraform

Feature stores

Job description

Function Health is building an AI-driven health platform and seeks a Data Engineer to own data and ML infrastructure in a remote US setting. You will collaborate with engineers to ensure robust data pipelines, scalable storage, and reliable model deployment.

The role emphasizes declarative contracts, CI for data/ML, and secure handling of PHI, with a focus on fast, safe changes by subject‑matter experts and agents alike.