
Director of Data Engineering - Remote
- Eden Prairie, MN
- $132,200-226,600 per year
- Permanent
- Full-time
- Lead and mentor a talented team of data analysts, engineers, and developers fostering a culture of collaboration, innovation, and continuous learning
- Develop and implement a comprehensive data management roadmap that aligns with organizational priorities such as clinical quality, operational efficiency, and patient engagement.
- Collaborate with clinical, operational, IT, and quality leaders to understand data needs and deliver scalable solutions.
- Collaborate with national IT teams to implement a secure, compliant, and scalable data infrastructure to support the organization’s growing data needs
- Build common frameworks and best practices in code development, deployment and automation/orchestration of data pipelines
- Identify, design, and champion process improvements throughout the processing lifecycle for data quality initiatives ensuring data integrity, to include automating manual processes and optimizing data delivery for greater scalability
- Own and manage the deliverables assigned to the data analytics and engineering team, ensuring accurate, concise documentation of the code base including data ingestion and enrichment pipelines that support critical analytics
- Ensure compliance with HIPAA, CMS, NCQA, and other healthcare regulations related to clinical and administrative data.
- Work closely with the analytics and clinical and business performance teams to ensure timely and accurate data feeds for dashboards, predictive models, and population health tools.
- Drive a performance-driven culture, setting clear goals and measuring results
- 7+ years of experience with solid SQL skills and experience with SSRS, Tableau, and PowerBI for data transformation, visualization, and orchestration
- 4+ years of experience in Azure Data Factory (ADF): building complex, parameterized pipelines, integrating with Azure services
- 4+ years of experience with proficiency in Snowflake: data modeling, performance tuning, Snowpipe, Streams & Tasks, SnowConvert, and security features
- 4+ years of experience working with healthcare datasets, including claims data, clinical registries, and patient engagement platforms
- 2+ years of experience with building and scaling high-performing data analytics and data engineering teams
- 2+ years of experience with Healthcare industry knowledge and experience
- Master’s degree in Computer Science, Engineering, Mathematics, Health Informatics, or other technology related fields
- 2+ years of healthcare data ecosystems, including EHRs, claims data, and clinical workflows
- 2+ years of healthcare data standards: EDI, HL7, X12, FHIR, ICD-10, CPT, and HIPAA compliance
- 2+ years of experience with value-based care models, risk adjustment (HCC), NCQA HEDIS quality standards, affordability metrics, and payer-provider data exchange. Familiarity with A.I. and machine learning