Senior Data Engineer (GCP) - HR Technology

CVS Health • Scottsdale, AZ

4d

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. About the Role: The Sr. Data Engineer (People Analytics) role is a technical developer in IT and individual contributor for the People Analytics Data Engineering team responsible for the development of data warehouse modeling, data pipelines, and related analytics specific to People and Workforce analytics in cloud data platforms.

Requirements

• 5+ years' experience in Data Engineering, with a focus on HR or people data.
• 5+ years' experience with ETL/ELT processes and tools.
• 5+ years' experience with SQL and relational databases.
• 4+ 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.

Nice To Haves

• 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.

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.

Benefits

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees