Engineering Manager, Data Solutions
Position Overview Magpie Health Analytics is seeking a hands-on Engineering Manager to lead a multidisciplinary team of front-end engineers, full stack developers, Python developers, and data engineers supporting federal health consulting projects. This role blends billable client delivery, technical leadership, team mentorship, and internal process improvement. The Engineering Manager will contribute directly to client projects while helping the team deliver high-quality, secure, and scalable technical solutions for government clients. Magpie’s work includes mission-critical program operations, data governance, digital platforms, and advanced analytics for the federal government.
Key Responsibilities
Lead, mentor, and support a team of software and data engineering professionals. Contribute directly to billable client projects and technical delivery Support federal health projects involving cloud-based platforms, data pipelines, analytics, workflow systems, and application development. Help ensure projects meet quality, timeliness, documentation, and stakeholder expectations. Support Agile delivery processes, code reviews, and engineering best practices Identify team training, certification, and professional development opportunities. Evaluate internal business processes and recommend tools, automation, and AI-assisted workflows to improve efficiency, data validation, knowledge management, and delivery consistency. Assist with staffing, recruiting, resource planning, and team development
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field 7+ years of software engineering, application development, or data engineering experience Strong experience with Python and modern full-stack development practices Experience writing clean, reliable, and reusable code for large-scale production systems Experience managing multidisciplinary engineering teams Clear communication skills with executives and cross-functional teams Commitment to equipping federal teams with documentation, training, and mentoring to sustain improvements Strong communication, problem-solving, and organizational skills Familiarity with AI-assisted engineering tools and workflow automation Experience with cloud platforms (AWS), DevOps, and data pipelines
Preferred Qualifications
Familiarity with Medicare, Medicaid, healthcare claims, encounter data, enrollment data, analytics, or program integrity work. Experience working in a small business or consulting environment Experience to adhering and automating 508 compliance Consulting, government or regulated industry experience Experience with containers and orchestration tools (e.g., Docker, Kubernetes)