Oversight and responsibility for designing, building, and maintaining scalable data pipelines and architectures
Partner closely with analytics, data science, product, and business teams to ensure high-quality, well-structured data is available for decision-making and operational needs
Design, build, and maintain scalable data pipelines and ETL/ELT processes
Develop and optimize data models, data warehouses, and data lakes by working with stakeholders
Build, optimize, and deploy forecasting models using time-series modeling, machine learning, and MLOps practices
Apply advanced modeling and statistical analysis to Healthcare Quality metrics spanning NCQA HEDIS measures and CMS Clinical Stars
Integrate data from multiple sources including internal systems, APIs, and third-party vendors
Collaborate with analytics, BI, and data science teams to support reporting and advanced analytics

3+ years of experience as a Data Engineer or in a similar data-focused role or equivalent experience
Strong experience with SQL and relational databases
Experience building ETL/ELT pipelines and working with large datasets
Familiarity with data warehousing concepts and dimensional modeling
Proficiency in at least one programming language (Python, Java, or Scala)
Experience with cloud platforms (AWS, Azure, or GCP)

Manager, Data Engineering

Key skills