Data Engineer — People Analytics & HR Data Pipelines

CVS Health; Carson City (NV); On-site; USD 83,000 - 222,000; Full time

Job summary

CVS Health is seeking a Data Engineer for the People Analytics team in the United States. You will design and build data pipelines, model data warehouses, and enable analytics across HR with a strong emphasis on reliability and governance.

You'll collaborate with HR, IT, and analytics stakeholders, work with Workday/HRIS data, and mentor junior engineers while ensuring data security and compliance. A 3+ year background in data engineering is required.

Qualifications

• Minimum 3+ years in data engineering.
• Experience with ETL/ELT processes and tools.
• Proficiency in SQL and relational databases.
• Proficient in Python for data manipulation and automation.
• Experience with cloud platforms (GCP preferred).
• Experience with data warehousing solutions: Snowflake, Redshift, BigQuery.
• Experience with scheduling tools like Airflow or Composer.

Responsibilities

• Design, build, and manage robust data pipelines and ETL processes.
• Develop and optimize data workflows ensuring data accuracy and availability.
• Provide technical leadership and mentoring to data engineers.
• Collaborate with People Analytics to structure data for analysis and reporting.
• Ensure data governance and security per company policies.

Skills

Data Engineering

ETL/ELT

SQL

Relational databases

Python

GCP

Cloud platforms

Airflow

Composer

Education

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

Master's degree

Tools

Snowflake

Redshift

BigQuery

Job description

CVS Health is seeking a Data Engineer for the People Analytics team in the United States. You will design and build data pipelines, model data warehouses, and enable analytics across HR with a strong emphasis on reliability and governance.

You'll collaborate with HR, IT, and analytics stakeholders, work with Workday/HRIS data, and mentor junior engineers while ensuring data security and compliance. A 3+ year background in data engineering is required.