Manager, Data Engineering
About The Position
We’re looking for a Data Engineering Manager to lead a team of talented data engineers who are passionate about building resilient, scalable data infrastructure that supports some of the nation’s top healthcare providers. In this role, you won’t just be writing code, you’ll also be setting the strategy, coaching your team, and helping to shape how we transform data into insights that help our customers fuel their missions. You'll help us scale our data platform, integrate emerging technologies, and collaborate across departments to ensure our data engineering efforts are aligned, efficient, and forward-looking. If you're energized by mentoring engineers, navigating technical complexity, and improving processes while keeping your hands in the data, we’d love to meet you.
Requirements
- 5+ years of experience in data or software engineering, including at least 1–2 years in a people management or team lead role.
- Strong proficiency in SQL and Python—you know when to optimize a query and when to refactor a script.
- Experience designing and supporting modern cloud data platforms (Snowflake, AWS, etc.).
- Deep understanding of ETL architecture, data modeling, and distributed systems.
- Hands-on experience with tools like Dagster, dbt, or similar orchestration/modeling frameworks.
- Familiarity with CI/CD pipelines, infrastructure-as-code, and modern DevOps practices.
- Excellent communication skills—able to bridge technical and non-technical audiences, and to advocate effectively for your team.
- Comfort working in fast-paced, agile environments where priorities may shift and growth is constant.
Nice To Haves
- Bonus points for experience in healthcare or finance domains, or exposure to machine learning workflows.
Responsibilities
- Lead and grow a team of data engineers to support their development, help remove blockers, and foster a collaborative, inclusive team culture.
- Oversee architecture and implementation of our cloud-based data infrastructure (Snowflake, AWS, etc.) to support both operational data delivery and producing consumable data product.
- Partner cross-functionally with Data Science, Product, and Engineering teams to develop high-impact data products and pipelines.
- Drive data engineering best practices across the org—code quality, documentation, testing, observability, and reproducibility.
- Stay close to the work by reviewing code, guiding architectural decisions, and occasionally rolling up your sleeves to code when needed.
- Champion platform scalability by designing systems that handle large volumes of structured and unstructured data with resilience and speed.
- Understand business and operational problems that new tools (Dagster, dbt, etc.) and technology that would improve automation, performance, and data engineering workflows.
- Ensure data reliability and performance by monitoring data pipelines, addressing data quality issues, and driving continuous improvement initiatives.
- Mentor team members and foster technical growth across the group through thoughtful feedback, knowledge sharing, and career coaching.
- Collaborate on strategic planning with leadership—aligning data engineering goals with business objectives.
- Cross team collaboration to share ideas and best practices across teams
Benefits
- Strata also provides discretionary variable pay programs based on role.
- In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
