Manager, Data Engineering

CVS Health

Data Engineer at CVS Health overseeing design and maintenance of scalable data pipelines and architectures for analytics and reporting. Collaborating with teams to enable reliable data access and performance.

Posted 5/31/2026full-timeRemote • Idaho, New York, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $83,430 - $222,480 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformJavaPythonScalaSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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)

Benefits

Comp & perks

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs
other resources, based on eligibility

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data pipelinesETLELTdata modelsdata warehousesdata lakestime-series modelingmachine learningMLOpsSQL

Soft Skills

collaborationcommunicationstakeholder engagement