[Hiring] Data Engineering Manager @Trella Health

Role Description

We’re looking for a Data Engineering Manager who still likes getting their hands dirty. You’ll lead our Data Engineering team and help build a healthcare data platform that’s fast, scalable, and ready for whatever we throw at it next.

Your job:

• Design, build, and tune the pipelines and platforms that turn diverse healthcare data into analytics and insights people actually use.
• Lead the team and roll up your sleeves alongside them, putting best-in-class architecture and governance in place while keeping us HIPAA and SOC 2 compliant.
• The toolkit includes Databricks, Snowflake, and AWS.
• The problems are big, the data is complicated, and that's what makes it an exciting challenge to tackle.

Qualifications

• 8+ years of experience in data engineering, with demonstrated success coaching and developing technical talent.
• Deep proficiency in Python, SQL, and modern ETL/ELT frameworks for building reliable, production-grade data workflows.
• Hands-on experience with Databricks, Snowflake, and AWS services (e.g., S3, Glue, Lambda, EMR).
• Strong ability to design scalable, modular codebases that promote maintainability, reuse, testing, and cross-team collaboration.
• Experience implementing and leveraging data lineage to understand dependencies, assess upstream and downstream impact, and support governance and change management.
• Solid understanding of data governance, data quality, and data security principles, including their application in regulated environments.
• Proficiency in data modeling, database design, and data warehousing concepts for analytical and operational use cases.
• Ability to partner effectively with DevOps to define and align on deployment standards, environment management, and operational best practices for data platforms and pipelines.
• Working knowledge of healthcare data interoperability standards and APIs is preferred but not required.

Requirements

• Lead and scale a high-performing data engineering team through hands-on technical leadership, mentorship, and the establishment of best practices that drive innovation, collaboration, and continuous improvement.
• Architect, build, and evolve a centralized, cloud-native data platform supporting diverse healthcare datasets, including medical and Rx claims, EHR, CCLF, and BCDA data sources.
• Design, implement, and operate scalable data pipelines for ingestion, transformation, and normalization to support analytics, machine learning, and GenAI use cases.
• Implement flexible data ingestion patterns, including batch processing, streaming services, and FHIR-based APIs, to ingest data into the data lake.
• Optimize data platforms and pipelines for performance, reliability, scalability, and cost efficiency.
• Lead the design and enforcement of data governance standards, access controls, and encryption to meet HIPAA and SOC 2 compliance and certification requirements.
• Develop and maintain clear, comprehensive documentation covering data platform architecture, ETL/ELT processes, data lineage, and metadata.
• Partner cross-functionally with data science, QA, software engineering, product, and business stakeholders to deliver trusted, timely, and high-quality data assets.
• Collaborate with DevOps to enable automated, scalable deployment of data pipelines and platform components using CI/CD and infrastructure-as-code practices.
• Stay current with emerging trends and best practices in data engineering, healthcare data management, and advanced analytics, applying learnings to continuously improve the platform and team.

Benefits

• Health, dental, vision, and voluntary benefits.
• Competitive salary, incentive compensation, and equity shares.
• 401(k) retirement savings.
• Flexible PTO and 10 paid holidays.
• Flexible work hours.
• Paid leave programs.
• Marketplace for discounted retail and entertainment.