People Analytics Data Engineer - Cloud ETL & DW

CVS Health; Augusta (ME); On-site; USD 83,000 - 222,000; Full time

Job summary

CVS Health is hiring a Data Engineer for People Analytics to design and manage data pipelines, models, and analytics workflows. You will collaborate with HR, IT, and analytics teams to deliver scalable solutions in cloud platforms (GCP/AWS/Azure) and ensure data governance.

The role requires 3+ years in data engineering, SQL, Python, and experience with Workday-like HRIS data, with a focus on secure, compliant data handling and reproducible workflows for reporting.

Qualifications

• 3+ years of Data Engineering experience.
• 3+ years with ETL/ELT processes and tools.
• 3+ years with SQL and relational databases.
• 2+ years programming in Python for data manipulation, automation, and analysis.
• 3+ years with cloud platforms, prefer GCP (may consider Azure or AWS).
• 2+ years with data warehousing solutions (Snowflake, Redshift, BigQuery).
• 2+ years with scheduling tools like Airflow or Composer.

Responsibilities

• Design, build, and manage robust data pipelines and ETL processes from HR systems.
• Develop and optimize data workflows for accuracy and availability.
• Oversee a team of data engineers and promote best practices.
• Structure data for analysis and develop data models for reporting.
• Ensure data governance and security per company policies.

Skills

SQL

Python

Data pipelines

Data modeling

ETL/ELT

Education

Bachelor’s degree in CS/Data/Engineering

Master’s degree preferred

Tools

Workday

Snowflake

Redshift

BigQuery

Airflow

Job description

CVS Health is hiring a Data Engineer for People Analytics to design and manage data pipelines, models, and analytics workflows. You will collaborate with HR, IT, and analytics teams to deliver scalable solutions in cloud platforms (GCP/AWS/Azure) and ensure data governance.

The role requires 3+ years in data engineering, SQL, Python, and experience with Workday-like HRIS data, with a focus on secure, compliant data handling and reproducible workflows for reporting.