Data Engineering Manager

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. You’ll 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.

• 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

• 8+ years of experience in data engineering, with demonstrated success coaching and developing technical talent and leading the design, delivery, and operation of cloud-based data platforms in production environments
• 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), along with modern data platform technologies and transformation tools such as dbt or SQLMesh
• 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 

Trella Health is the AI-powered intelligence and workflow platform helping health systems and post-acute providers turn fragmented healthcare data into decisive action. We bring together market intelligence, referral workflows, patient discharge automation, and care coordination tools so healthcare organizations can make smarter decisions, strengthen business and clinical operations, and deliver high-quality, cost-efficient care.

Powered by billions of data points across claims, referrals, patient discharge, and clinical data, Trella Health gives customers the intelligence and workflows they need to understand their markets, build stronger referral relationships, coordinate patient care transitions, and grow with confidence.

Since launching our first product in 2016, Trella Health has continued to grow our team, our platform, and our impact across healthcare. Today, we support more than 17,000 customers, including leading post-acute providers and health systems, and more than 63,000 users across the care continuum.

Trella Health is headquartered in Atlanta, with a growing presence in Philadelphia and team members located across the country.

At Trella Health, you will have the opportunity to do meaningful work with people who are focused on outcomes, committed to continuous improvement, and supportive of one another. We believe great work happens when team members feel trusted, connected, and empowered to grow.

Our culture is built on transparency, accountability, partnership, and the belief that better healthcare starts with better decisions. Trellavators work hard, move fast, celebrate wins, and have fun along the way.

We offer competitive compensation and a comprehensive benefits package designed to support team members inside and outside of work, including:

• 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

At Trella Health, you can grow your career while helping build technology that strengthens healthcare operations, improves care coordination, and supports healthier outcomes for patients.

Trella Health is an equal opportunity employer. All persons will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, handicap, veteran status, genetic information, or any other protected status as recognized by federal, state, or local laws.