Senior Data Engineer

Key Responsibilities

• Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources.
• Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs.
• Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access.
• Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.
• Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models.
• Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes.
• Share best practices and mentor junior data engineers.
• Design and architect data infrastructure analytical workloads.
• Required Qualifications 5+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines.
• Strong proficiency in SQL and experience in developing complex queries.
• Familiarity with pySpark, DBT, or other similar frameworks.
• Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP).
• Understanding of data warehousing concepts, dimensional modeling, and building data marts.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners.
• Preferred Qualifications Knowledge of data governance best practices in a cloud environment.
• Experience with data design in BigQuery Experience working with the Epic data model.
• Experience working with healthcare data (Claims and Admissions) Education and Experience Bachelor's degree preferred/specialized training/relevant professional qualification.
• Computer Science or Equivalent Years of Relevant Experience Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $101,970.00 - $203,940.00 This 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.
• Our people fuel our future.
• Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
• Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
• This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families.
• The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
• Additional details about available benefits are provided during the application process and on Benefits Moments .
• We anticipate the application window for this opening will close on: 07/20/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.