Data Engineer – People Analytics

CVS Health

. Design, build, and manage data pipelines and ETL processes integrating HR data from Workday, talent management, payroll, and other systems .

Posted 10/15/2026full-timeRemote • United StatesMid-LevelSenior💰 $83,430 - $222,480 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering, focusing on ETL processes, data pipeline management, and data governance. Proficient in programming with Python and SQL, with experience in cloud platforms and data warehousing solutions to support People Analytics.

Highest-signal resume keywords

Data EngineeringETL/ELT ProcessesSQL and Relational DatabasesPython Programming for Data ManipulationCloud Platforms (GCP, Azure, AWS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline ManagementData Workflow OptimizationData ModelingData GovernanceData Quality AssuranceETL ToolsSQLPythonData Warehousing SolutionsScheduling Tools

Soft Skills

MentorshipTeam LeadershipCollaborationCommunication

Tools & Technologies

WorkdayAirflowComposerSnowflakeRedshiftBigQueryPowerBITableauOracle BIVisier

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Data EngineeringBachelor's Degree in Data Science

Industry Keywords

People AnalyticsHR Data FlowsBusiness IntelligenceData VisualizationAnalytical Consulting

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformOraclePythonSQLTableau

About the role

Key responsibilities & impact

Design, build, and manage data pipelines and ETL processes integrating HR data from Workday, talent management, payroll, and other systems
Develop and optimize data workflows to ensure data accuracy, quality, and availability
Oversee a team of data engineers and provide mentorship, support, and guidance
Structure data for People Analytics analysis and develop data models
Create reproducible workflows supporting reporting in R, Python, and other analytics tools
Ensure data governance and security protocols comply with company policies and industry regulations
Partner with HR leaders, IT, and People Analytics teams to understand requirements and streamline data requests
Provide insights supporting strategic decisions

Requirements

What you’ll need

3+ years' experience in Data Engineering
3+ years' experience with ETL/ELT processes and tools
3+ years' experience with SQL and relational databases
2+ years' experience programming in Python for data manipulation, automation, and analysis
3+ years' experience with cloud platforms, preferably GCP; Azure or AWS may be considered
2+ years' experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
2+ years' experience with scheduling tools such as Airflow or Composer
Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related field required
Experience with Workday or similar HRIS platforms and HR data flows preferred
Familiarity or working knowledge of PowerBI, Tableau, Oracle BI, Visier, or similar tools preferred
Technical experience in people or talent analytics, data engineering, visualization, business intelligence, or analytical consulting preferred

Benefits

Comp & perks

Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources supporting physical, emotional, and financial well-being
CVS Health bonus, commission or short-term incentive program in addition to base pay