Manager - Data Engineering

Description

• Put Patients First
• Empower Entrepreneurial Provider and Care Teams
• Operate with Integrity & Excellence
• Be Innovative
• Work As One Team

What You'll Do

• Lead and mentor a team of data engineers, fostering a culture of continuous learning, innovation, and operational excellence.
• Partner with cross-functional teams to design and implement scalable data pipelines and models aligned with business needs and industry best practices.
• Oversee the development, deployment, and maintenance of enterprise-grade ELT processes, data marts, and business intelligence assets.
• Own and evolve data quality frameworks, ensuring proactive monitoring, troubleshooting, and resolution of data issues.
• Champion the adoption of automation and modern data engineering practices, driving efficiencies in pipeline management and data delivery.
• Guide your team in building domain knowledge around healthcare operations, ensuring data solutions comply with regulatory and security requirements.
• Contribute to strategic planning for the data engineering function, including resource allocation, technology selection, and process improvement initiatives.
• Support and enforce software development best practices, including code reviews, source control, CI/CD, and testing.

Qualifications

• Bachelor’s degree required in computer science, engineering, healthcare, analytics, or a related field; Master’s degree preferred.
• 5+ years of experience in data engineering or software development roles, with at least 2+ years in a leadership or management capacity.
• 2+ years of experience with medical claims in healthcare and/or managed care.
• Strong expertise in building scalable ELT/ETL pipelines using modern data platforms and cloud-based services (e.g., AWS, Azure).
• Advanced proficiency with SQL and scripting/programming languages such as Python or Spark.
• Solid understanding of database structures, data modeling (normalized, star schema, snowflake), and data warehousing concepts.
• Experience working with Databricks or similar distributed computing platforms preferred.
• Familiarity with BI tools such Power BI.
• Deep understanding of professional software engineering practices including SDLC, version control, CI/CD, and automated testing.
• Strong communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences.

• Thrive in a fast-paced environment and enjoy leading teams to solve complex data challenges.
• Are passionate about mentoring and growing the next generation of data engineering talent.
• Have a bias for action and a commitment to delivering high-quality solutions with measurable impact.
• Bring a collaborative, team-first mindset to everything you do.

Environmental Job Requirements and Working Conditions

• This position is remotely based in the U.S.
• The total compensation target pay range for this role is: $140,000 - $160,000. Actual compensation will be determined based on geographic location (current or future), experience, and other job-related factors.