Data Engineer – Workforce Data Engineering (Hybrid in Des Moines, IA)
About the position As part of our Workforce Data Engineering team, you’ll work with data representing 20,000+ employees—connecting systems, uncovering insights, and enabling smarter decisions about hiring, development, and productivity. This is more than pipelines—it’s a puzzle. You’ll act as a data detective, uncovering relationships and turning fragmented data into something meaningful. This role is part of our broader Enterprise Hub Data Engineering organization. While your initial focus will be workforce data, our engineers frequently partner across other hub teams as business needs evolve —supporting domains such as customer interactions, party/product data, reference data, and advanced analytics. This gives you the opportunity to expand your experience across multiple data domains over time.
Responsibilities
- Connect systems, uncover insights, and enable smarter decisions about hiring, development, and productivity.
- Act as a data detective, uncovering relationships and turning fragmented data into something meaningful.
- Work hands-on with cutting-edge data platforms and AI-enabled technologies.
- Collaborate with teams across the company to solve real business problems.
- Curate and connect data for a global workforce of 20,000+ employees.
- Explore new and creative use cases for workforce and employee data.
- Develop AI agents and tools that help leaders and employees get answers faster.
- Transform fragmented workforce data into trusted, enterprise-ready data products.
- Create a unified view of employees across systems.
- Enable insights into hiring, productivity, and learning.
- Deliver datasets that power analytics, reporting, and AI.
Requirements
- Bachelor's degree or a Master's degree in a related field
- Proficiency in SQL, Python and version control tools like GitHub
- Basic planning, organizational, problem-solving, analytical, decision-making and communication skills
- Highly self-motivated with excellent time management skills
- Ability to provide on-call support
Nice-to-haves
- Experience with Snowflake and AWS services
- Ability to work directly with data and datastores through programming languages such as SQL, Python, etc.
- Experience working in an Agile environment, including familiarity with tools like Jira and Confluence
- Experience integrating and managing datasets from multiple sources
- Experience with a variety of data modeling techniques and data structures
- Ability to optimize data for analytics and data science
- Ability to effectively communicate strategies and designs to all levels of the company
Benefits
- Flexible Time Off (FTO)
- Pension Eligible
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