Manager, Data Engineering

CVS Health is building a world of health around every individual, seeking to simplify health care for communities. The role involves designing, building, and maintaining scalable data pipelines and architectures to ensure reliable data access for analytics and operational needs.

Responsibilities:

• 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 to understand their requirements and translate them into scalable and efficient data engineering solutions
• 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
• Apply advanced statistical, machine learning, and deep learning methods (e.g., ARIMA, Prophet, gradient boosting, etc.)
• Performs code reviews and enforces coding standards, based on company and industry requirements, across the development teams
• Ensure data reliability, accuracy, performance, and availability across systems
• Integrate data from multiple sources including internal systems, APIs, and third-party vendors
• Implement data quality checks, monitoring, and error-handling processes
• Collaborate with analytics, BI, and data science teams to support reporting and advanced analytics
• Optimize query performance and storage efficiency
• Document data pipelines, schemas, and engineering standards
• Support data governance, security, and compliance requirements
• Troubleshoot and resolve data pipeline and system issues

Requirements:

• 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)
• Adept at execution and delivery (planning, delivering, and supporting) skills
• Adept at business intelligence
• Adept at problem solving and decision-making skills
• Adept at collaboration and teamwork
• Adept at growth mindset (agility and developing yourself and others) skills
• Experience working within Healthcare Quality Management
• Experience with NCQA HEDIS and other quality metrics
• Hands-on experience with BI tools (Power BI, Tableau, Looker)
• Exposure to data governance, metadata management, and security best practices