Data Engineer - People Analytics

CVS Health•Farmers Branch, NV

2d•$83,430 - $222,480

About The Position

The Data Engineer - People Analytics is a technical developer and individual contributor on the People Analytics Data Engineering team. The role develops data warehouse models, data pipelines, and related analytics for People and Workforce analytics in cloud data platforms. It also includes overseeing a team of data engineers, mentoring them, and guiding practices in data engineering, version control, and coding standards.

Requirements

At least 3 years of experience in data engineering.
At least 3 years of experience with ETL/ELT processes and tools.
At least 3 years of experience with SQL and relational databases.
At least 2 years of experience programming in Python for data manipulation, automation, and analysis.
At least 3 years of experience with cloud platforms; GCP is preferred, though Azure or AWS may be considered.
At least 2 years of experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery.
At least 2 years of experience with scheduling tools such as Airflow or Composer.
Bachelor’s degree in Computer Science, Data Engineering, Data Science, or a related field.

Nice To Haves

Experience with Workday or similar HRIS platforms and data flows in an HR context.
Problem-solving ability and strong analytical skills, including troubleshooting, optimizing, and automating data processes.
Strong communication skills and the ability to explain complex technical processes effectively to non-technical stakeholders.
Familiarity or working knowledge of data visualization or business intelligence tools such as PowerBI, Tableau, Oracle BI, or Visier.
Technical experience in people or talent analytics, data engineering, visualization, business intelligence, or analytical consulting.
Master’s degree.

Responsibilities

Design, build, and manage data pipelines and ETL processes that integrate HR data from Workday, talent management, payroll, and other sources.
Develop and optimize data workflows to ensure data accuracy, quality, and availability for People Analytics and HR and business stakeholders.
Oversee and mentor a team of data engineers, providing support and guidance on data engineering practices, version control, and coding standards.
Work with People Analytics to structure data for analysis, develop data models, and create reproducible workflows for reporting in R, Python, and other analytics tools.
Ensure data governance and security protocols are followed in accordance with company policies and industry regulations, particularly for HR data confidentiality and compliance.
Partner with HR leaders, IT, and People Analytics teams to understand business requirements, streamline data requests, and provide insights for strategic decisions.