Data Engineer, People Analytics & Cloud Data Pipelines

Quest Oracle Community; Helena (MT); On-site; USD 83,000 - 222,000; Full time

Job summary

CVS Health is hiring a Data Engineer for the People Analytics team to design and build data pipelines and data models in cloud platforms. You will work on ETL/ELT processes, data warehousing, and reporting support for HR and workforce analytics.

The role emphasizes data governance, security, and collaboration with HR, IT, and business units to deliver reproducible analytics workflows. A Bachelor's degree is required, with a Master’s preferred.

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 (GCP preferred).
• 2+ years' experience with data warehousing solutions (Snowflake/Redshift/BigQuery).
• 2+ years' experience with scheduling tools like Airflow or Composer.

Responsibilities

• Design, build, and manage data pipelines and ETL processes for HR data sources.
• Develop and optimize data workflows for accuracy, quality, and availability.
• Oversee a team of data engineers and promote best practices.
• Collaborate with People Analytics to structure data for analysis and reporting.
• Ensure data governance and security in compliance with policy.

Skills

Data Engineering

ETL/ELT

SQL

Python

Cloud platforms

Data warehousing

Airflow

Workday

Education

Bachelor's degree in Computer Science / Data Engineering / Data Science or related field

Master's degree preferred

Tools

Snowflake

Redshift

BigQuery

Airflow

Job description

CVS Health is hiring a Data Engineer for the People Analytics team to design and build data pipelines and data models in cloud platforms. You will work on ETL/ELT processes, data warehousing, and reporting support for HR and workforce analytics.

The role emphasizes data governance, security, and collaboration with HR, IT, and business units to deliver reproducible analytics workflows. A Bachelor's degree is required, with a Master’s preferred.