Manager, Data Engineering

Position Summary Oversight and responsibility for designing, building, and maintaining scalable data pipelines and architectures that enable reliable data access, analytics, and reporting. This role partners closely with analytics, data science, product, and business teams to ensure high-quality, well-structured data is available for decision-making and operational needs. Key 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.). Perform code reviews and enforce 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. Required Qualifications 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. Preferred Qualifications 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. Education Bachelor’s degree in Computer Science, Engineering, Information Systems, Statistics, Mathematics, Data Analytics, or related STEM field. Master’s degree preferred. Equivalent work experience. Pay Range The typical pay range for this role is: $83,430.00 - $222,480.00. The pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Benefits Medical, dental, and vision coverage. Paid time off. Retirement savings options. Wellness programs. Other resources, based on eligibility. EEO Statement Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr 4062 Aetna Resources, LLC