Data Engineer - People Analytics

CVS Health is hiring a Data Engineer for its People Analytics Data Engineering team. The role develops data warehouse models, data pipelines, and analytics for People and Workforce analytics on cloud data platforms, while supporting HR data security, reporting, and strategic decision-making.

Responsibilities

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

Preferred

Experience with Workday or 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

Master's degree preferred

Workday

HRIS Platforms

HR Data Flows

Data Troubleshooting

Data Process Optimization

Data Process Automation

Technical Communication

Power BI

Tableau

Oracle BI

Visier

People Analytics

Talent Analytics

Data Visualization

Business Intelligence

Analytical Consulting

Problem-Solving

Analytical Thinking

Communication

Benefits

Eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

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

Company

Health care services, pharmacy services, and health plans

Woonsocket, Rhode Island, USA

https://www.cvshealth.com/

Founded in 1963

10001+ employees

Qualifications

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, 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

Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related field required

Experience with Workday or 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

Master's degree preferred

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, 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.

Required skills

Data Engineering, ETL/ELT, SQL, Relational Databases, Python, Google Cloud Platform (GCP), Microsoft Azure, Amazon Web Services (AWS), Data Warehousing, Snowflake, Amazon Redshift, Google BigQuery, Apache Airflow, Google Cloud Composer, Workday, People Analytics, Power BI, Tableau, Oracle BI, Visier

Preferred skills

Master's degree preferred

Experience

3+ years