Data Engineering Manager

trellahealth; United States; Remote; USD 170,000 - 250,000; Full time

Benefits offered by this job

Health insurance

Dental

Vision

401(k) retirement

Equity

Flexible PTO

Paid holidays

Flexible hours

Paid leave

Remote-friendly

Job summary

trellahealth seeks a senior data engineering leader to guide a cloud data platform for healthcare analytics. You will design, build, and operate ingestion, transformation, governance, and performance-focused data services while mentoring engineers and aligning data products with ML and AI initiatives.

The role emphasizes hands-on leadership with Databricks, Snowflake on AWS, dbt, and modern ETL/ELT patterns, plus HIPAA/SOC 2 controls.

Qualifications

• 8+ years in data engineering with leadership of production cloud data platforms.
• Strong Python and SQL skills with modern ETL/ELT experience.
• HIPAA and SOC 2 governance and controls experience.

Responsibilities

• Coach and develop the team while setting engineering practices.
• Design and evolve a cloud data platform for diverse healthcare data sources.
• Build and operate batch, streaming, and FHIR API ingestion pipelines.
• Improve platform performance, reliability, and cost efficiency.
• Establish governance, access controls, encryption, and documentation.
• Partner with data science, software, QA, product, and DevOps teams on trusted data assets.

Skills

Team leadership

Python

SQL

Databricks

Snowflake

AWS

dbt

ETL/ELT

Tools

Databricks

Snowflake

AWS

dbt

Job description

Role overview

Lead a data engineering team while remaining hands-on in building and operating a cloud data platform for complex healthcare information. The work spans ingestion, transformation, governance, and performance, with data products supporting analytics, machine learning, and generative AI use cases.

Responsibilities

• Coach and develop the team while setting engineering practices that support collaboration and continuous improvement.
• Design and evolve a cloud data platform for sources such as medical and prescription claims, EHR, CCLF, and BCDA data.
• Build and operate batch, streaming, and FHIR API ingestion patterns, plus transformation and normalization pipelines.
• Improve platform and pipeline performance, reliability, scalability, and cost efficiency.
• Establish data governance, access controls, encryption, and documentation for architecture, lineage, metadata, and ETL/ELT processes.
• Partner with data science, software, QA, product, business, and DevOps teams on trusted data assets and automated deployment.

Requirements

• 8+ years in data engineering, including leadership of production cloud data platforms and development of technical talent.
• Strong Python and SQL skills and experience with modern ETL/ELT frameworks.
• Hands-on experience with Databricks, Snowflake, AWS, and transformation tools such as dbt or SQLMesh.
• Ability to design modular, maintainable codebases that support reuse, testing, and collaboration.
• Experience with healthcare data management and the governance and controls needed for HIPAA and SOC 2 compliance.

Benefits and work setup

• Remote role open to U.S. candidates, with preference for people near Atlanta or Philadelphia.
• Benefits listed include health, dental, and vision coverage, retirement savings, equity and incentive compensation, flexible PTO, paid holidays, flexible hours, and paid leave.