Data Engineer: Own Data & BI with HIPAA‑driven controls

Birches Health; New York (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

Birches Health seeks the first full-time data engineer to own the data function—pipelines, infrastructure, and reporting for every team. You’ll consolidate existing BigQuery/dbt work, govern data to HIPAA standards, and enable non-technical users to access trusted insights.

You’ll work closely with Clinical Operations, Finance, Marketing, and Revenue Cycle teams to build and maintain ELT pipelines from Healthie, Kustomer, and other sources, with strong emphasis on data quality and security.

Qualifications

• 5+ years in data engineering with a primary data role.
• Expert SQL and Python; production experience with BigQuery and dbt.
• Experience building batch consumers for REST/GraphQL APIs.
• Hands-on with GCP and Terraform; healthcare data handling (PHI/PII, HIPAA).
• You build reports and dashboards, not just pipelines.

Responsibilities

• Own the data infrastructure and ELT pipelines into BigQuery.
• Maintain company-wide dashboards and respond to ad-hoc data requests.
• Govern data with tests, checks, and freshness alerts; ensure accuracy for billing and operations.
• Match records across systems and push attributes back via reverse ETL.
• Collaborate with Clinical Operations, Finance, Marketing, and Revenue Cycle teams.

Skills

SQL

Python

BigQuery

dbt

GCP

Terraform

REST/GraphQL APIs

HIPAA data governance

Communication

AI coding agents

Tools

Healthie

Kustomer

Customer.io

PostHog

Candid Health

Job description

Birches Health seeks the first full-time data engineer to own the data function—pipelines, infrastructure, and reporting for every team. You’ll consolidate existing BigQuery/dbt work, govern data to HIPAA standards, and enable non-technical users to access trusted insights.

You’ll work closely with Clinical Operations, Finance, Marketing, and Revenue Cycle teams to build and maintain ELT pipelines from Healthie, Kustomer, and other sources, with strong emphasis on data quality and security.