Manager - Data Engineering

• 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. 
• At least 5 years of experience in data engineering or software development roles, with at least 2+ years in a leadership or management capacity. 
• At least 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.