Über diese Principal Healthcare Data Product Engineer Stelle bei Mhnchicago
Are you ready to join a passionate community of people who are changing how health care is delivered? A place where you will find a career you love while truly making a difference building healthier communities. If this sounds like you, we would love to have you apply as Principal Healthcare Data Product Engineer, with Medical Home Network!
Since 2009, Medical Home Network (MHN) has partnered with Federally Qualified Health Centers (FQHCs) nationwide to transform care in the safety net, reduce health disparities, and build healthier communities. A mission-driven public benefit corporation, MHN helps FQHCs succeed in value-based care through technology, care model innovation, and strong partnerships. Our proven approach delivers leading health outcomes, lower costs, and elevated quality performance. We’re expanding our reach and impact to help more FQHCs enhance care for their patients. Modern Healthcare has named MHN one of the Best Places to Work in Healthcare for four years running (2021–2024). MHN was recently recognized as a Great Place to Work in 2025.
THE OPPORTUNITY:
MHN is seeking a Principal Healthcare Data Product Engineer to lead the design and development of data enrichment processes, data marts, and data pipelines driving our enterprise data warehouse and our products directly supporting the teams delivering care in our partner practices. This role centers on technical data product development and requires a seasoned healthcare data product engineering expert with a demonstrated ability to drive high-impact outcomes as an individual contributor.
This role will own complex data product initiatives supporting our operations, analytics, and clinical, operational and financial reporting. The ideal candidate brings deep experience in healthcare data and is comfortable partnering closely with product and business teams to deliver scalable, data-driven solutions.
THE PERKS
WHAT YOU CAN LOOK FORWARD TO
WHAT YOU’LL NEED TO SUCCEED
- Bachelor’s degree, or equivalent experience.
- 8+ years of data product engineering experience, including multiple years operating at a senior level as an individual contributor
- Deep healthcare data expertise with hands-on experience in data architecture, data warehousing, and engineering across both analytical and operational environments
- Proven experience designing and delivering data products that support value-based care (VBC) business models across payer and provider functions, including claims, membership, EMR/EHR, clinical, eligibility (EDT), and care management data domains
- Strong experience building and optimizing enterprise data warehouse solutions, including dimensional modeling, medallion architecture, and scalable data platform design
- Demonstrated expertise in master data management (MDM), including governance, data standardization, and entity resolution across complex healthcare data ecosystems
- High proficiency with SQL in a Snowflake environment, dbt, medallion-layer data architecture, modern and legacy data integration patterns (internal and external), and familiarity with the Tuva data model
- Experience supporting operational, financial, and analytical use cases through high-quality, reliable data products
- Familiarity with agile development methodologies and experience delivering data products in agile environments
- Excellent communication skills with the ability to translate complex technical concepts for both technical and non-technical stakeholders
- Experience working in value-based care, Medicaid, and/or safety-net healthcare environments
Medical Home Network is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
