Senior Data Engineer

CVS Health

Senior Data Engineer designing and implementing ETL data pipelines for analytical capabilities at CVS Health. Collaborating with teams to establish data quality standards and optimize data infrastructure.

Posted 7/13/2026full-timeRemote • Connecticut • 🇺🇸 United StatesSenior💰 $101,970 - $203,940 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and building ETL/ELT data pipelines, optimizing data models, and ensuring data quality and governance. Proficient in collaborating with cross-functional teams to deliver data solutions that support analytics and machine learning.

Highest-signal resume keywords

ETL/ELT Data Pipeline DevelopmentPython ProficiencySQL Query DevelopmentCloud Data Pipeline DeploymentData Warehousing Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT DevelopmentPythonSQLPySparkDBTData ModelingData GovernancePerformance TuningData Quality StandardsDimensional Modeling

Soft Skills

Excellent CommunicationInterpersonal SkillsCollaboration

Tools & Technologies

AzureAWSGCPBI ToolsMachine Learning Models

Industry Keywords

Data PipelinesData WarehousingData GovernanceData QualityData Mart

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPySparkPythonSQL

About the role

Key responsibilities & impact

Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources
Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs
Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access
Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements
Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models
Create comprehensive documentation for data pipelines, workflows, and processes
Share best practices and mentor junior data engineers

Requirements

What you’ll need

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

Benefits

Comp & perks

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