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# Data Engineer - People Analytics

- **Company:** CVS Health
- **Location:** Farmers Branch, TX, United States
- **Experience:** Experienced
- **Salary:** $83,430.0 - $222,480.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, BigQuery, Computer Programming, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Visualization, Data Warehousing, Relational Databases, Human Resources Information System (HRIS), R (Programming Language), HR Analytics, Python (Programming Language), Power BI, Cloud Services, Data Streaming, Tableau (Software), Data Processing, Bi Publisher, Snowflake, HR Software, Information Technology, Software Coding, Software Version Control, Data Pipelines, Workday, Amazon Redshift
- **Published:** October 16, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/tx/farmers-branch/e6658293-bc89-4127-8fac-37cfdde0af6e

## About the Role

* 3+ years' experience in Data Engineering
 * 3+ years' experience with ETL/ELT processes and tools.
 * 3+ years' experience with SQLand relational databases.
 * 2+ years' experience programming inPythonfor data manipulation, automation, and analysis.
 * 3+ years' experience with cloud platforms, prefer GCP (may consider Azure or AWS).
 * 2+ years' experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
 * 2+ years' experience with scheduling tools like Airflow or Composer., * Experience withWorkdayor similar HRIS platforms and data flows within an HR context.
 * Problem-Solving ability and strong analytical skills with the ability to troubleshoot, optimize, and automate data processes.
 * Strong communication skills with the ability to communicate complex technical processes to non-technical stakeholders effectively.
 * Familiarity or working knowledge of common data visualization or business intelligence tools (PowerBI, Tableau, Oracle BI, Visier, etc.).
 * Preferably technical experience specific to people or talent analytics, data engineering, visualization, business intelligence, or analytical consulting.

Education

 * Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related field required.
 * Master's degree preferred.

## Description

BigQuery
Scheduling
Automation
Mentorship
Compassion
Data Science
Communication
Data Security
Data Modeling
Data Pipelines
Apache Airflow
Version Control
Microsoft Azure
Data Governance
Amazon Redshift
Confidentiality
Computer Science
Data Warehousing
Data Engineering
People Analytics
Talent Management
Analytical Skills
Data Manipulation
Workday (Software)
Data Visualization
Workflow Management
Amazon Web Services
Time Off Management
Technical Leadership
Business Requirements
Business Intelligence
R (Programming Language)
Data Pipeline Management
Snowflake (Data Warehouse)
Business Intelligence Tools
Visier (Analytics Software)
Extract Transform Load (ETL)
Python (Programming Language)
Troubleshooting (Problem Solving)
Tableau (Business Intelligence Software)
Oracle Business Intelligence (BI) / OBIA
Human Resources Information System (HRIS), The Data Engineer - People Analytics role is a technical developer in IT and individual contributor for the People Analytics Data Engineering team responsible for the development of data warehouse modeling, data pipelines, and related analytics specific to People and Workforce analytics in cloud data platforms., Data Pipeline Management

 * Design, build, and manage robust data pipelines and ETL processes that integrate HR data from various systems, including Workday, talent management, payroll, and other data sources.

Data Engineering and Transformation

 * Develop and optimize data workflows to ensure data accuracy, quality, and availability for the People Analytics team and stakeholders across HR and business units.

Technical Leadership

 * Oversee a team of data engineers, providing mentorship, support, and guidance on best practices in data engineering, version control, and coding standards.

Analytics & Reporting Support

 * Work closely with People Analytics to structure data for analysis, develop data models, and create reproducible workflows that enable efficient reporting in R, Python, and other analytics tools.

Data Security and Compliance

 * Ensure data governance and security protocols are followed in accordance with company policies and industry regulations, with a focus on HR data confidentiality and compliance.

Collaboration with Stakeholders

 * Partner with HR leaders, IT, and People Analytics teams to understand business requirements, streamline data requests, and provide insights to support strategic decisions.