Data Engineer, People Analytics - HR Data Pipelines

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

Job summary

CVS Health is seeking a Data Engineer - People Analytics to join our IT team. The role focuses on designing data warehouse models, building robust data pipelines, and enabling analytics for HR and workforce insights on cloud platforms.

You will collaborate with HR leaders and stakeholders to ensure data quality, governance, and scalable analytics, enabling reporting with R, Python, and BI tools across the enterprise.

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.

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.

Skills

Data engineering

ETL/ELT

SQL

Python

Cloud platforms

Data warehousing

Scheduling tools

Education

Bachelor's degree in CS/Data Engineering/Data Science

Master's degree preferred

Job description

CVS Health is seeking a Data Engineer - People Analytics to join our IT team. The role focuses on designing data warehouse models, building robust data pipelines, and enabling analytics for HR and workforce insights on cloud platforms.

You will collaborate with HR leaders and stakeholders to ensure data quality, governance, and scalable analytics, enabling reporting with R, Python, and BI tools across the enterprise.