✦ Luna Orbit — Data & Analytics

Staff Data Engineer

at CVS Health

Unknown 💰 $106K – $260K USD / year Posted March 17, 2026
Salary $106K – $260K USD / year
Type Not Specified
Experience senior
Exp. Years 7+ years
Education Not specified
Category Data & Analytics

This role involves designing and scaling data infrastructure, building reliable data pipelines, and mentoring a team of data engineers in a healthcare or data services environment.

  • Design and build scalable data pipelines
  • Lead data infrastructure strategy
  • Optimize data systems for performance
  • Mentor data engineering team
  • Ensure data quality and governance

The position requires expertise in Python, SQL, Apache Spark, cloud platforms (AWS, Azure, GCP), data warehousing, and ETL/ELT processes.

The ideal candidate is a senior data engineer with over 7 years of experience in designing and optimizing large-scale data systems, proficient in Python, SQL, and cloud platforms like AWS, Azure, or GCP, with leadership skills for mentoring teams.

7+ years in data engineeringProficiency in PythonProficiency in SQLExperience with cloud platforms (AWSAzureGCP)Knowledge of data warehousing and ETL/ELT
Experience with data quality and governanceExperience with large-scale data systemsData pipeline optimizationMentoring data engineers
AWSAzureGCPApache Spark
PythonSQLApache SparkAWSAzureGCPData WarehousingETLELTData Lake
PythonSQLApache SparkAWSAzureGCPData WarehousingETLELTData Lake
leadershipmentoringcollaborationproblem-solvingcommunication
Industry Healthcare / Insurance / Data Services
Job Function Lead data engineering initiatives for large-scale data systems
Role Subtype Data Engineer
Tech Domains Python, SQL, Apache Spark, Amazon Web Services, Microsoft Azure, Google Cloud Platform, Data Warehousing, ETL / ELT
data engineerpythonsqlapache sparkcloud data platformsawsazuregcpdata warehousingetleltdata lakedata qualitydata governancelarge-scale data systemsmentoringdata pipelines

Less than 7 years experience, Lack of cloud platform experience, No proficiency in Python or SQL, No experience with data warehousing or ETL

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