Full - Stack Data Engineer designing and optimizing complex data solutions for automotive content. Collaborating with teams to enhance user experience across MOTOR's product lines.
About the role
- Senior Data Engineer developing data pipelines for People Analytics at CVS Health. Responsible for data accuracy, quality, and collaboration with HR and IT teams.
Responsibilities
- Design, build, and manage robust data pipelines and ETL processes.
- Develop and optimize data workflows to ensure data accuracy, quality, and availability.
- Oversee a team of data engineers, providing mentorship, support, and guidance.
- Work closely with People Analytics to structure data for analysis, develop data models, and create reproducible workflows.
- Ensure data governance and security protocols are followed.
- Partner with HR leaders, IT, and People Analytics teams to understand business requirements and provide insights.
Requirements
- 5+ years' experience in Data Engineering, with a focus on HR or people data.
- 5+ years' experience with ETL/ELT processes and tools (e.g., Azure Data Factory or similar).
- 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 like GCP, 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.
- Experience with Workday or similar HRIS platforms and data flows within an HR context.
- 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.
Benefits
- Affordable medical plan options
- 401(k) plan (including matching company contributions)
- 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 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.
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