What You'll DoData Engineer - Workforce Data Engineering TeamWhat if your role in data engineering didn't just move data... but shaped how a global workforce operates?
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.
Why This Role Is ExcitingThis isn't a "learn by watching" role-it's a
learn by doing, building, and experimenting opportunity. You will:
- 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
Every dataset you touch has a real outcome-helping someone make a better decision, faster.
What We DoWe transform fragmented workforce data into
trusted, enterprise-ready data products by
:- Creating a unified view of employees across systems
- Enabling insights into hiring, productivity, and learning
- Delivering datasets that power analytics, reporting, and AI
Career Growth & MobilityThis 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.
Ready to Build, Explore, and Make an Impact?If you enjoy solving puzzles, learning modern technologies, and seeing your work directly influence people and outcomes-you'll thrive here.
Who You Are- 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
Skills That Will Help You Stand Out- 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
Salary Range InformationSalary ranges below reflect targeted base salaries. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.
Salary Range$62000 - $105000 / year
Salary DetailsThe following salary ranges reflect market-specific compensation for this position across multiple job levels. Candidates will be evaluated to determine the appropriate job level based on their skills and experience.
- Data Engineer I: $62,000- $84,000 / year
- Data Engineer II: $77,000- $105,000 / year
Time Off ProgramFlexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Employees don't accrue a bank of time off under FTO and there is no set number of days provided.
Pension EligibleYes
Additional InformationWork EnvironmentThis role offers in-office or hybrid (blending at least three office days in a typical workweek) work arrangements out of our Des Moines, Iowa World Headquarters.
Job LevelWe'll consider talent at the next level, Data Engineer II, with the right experience and skills.
HoursThis role will partner with our global teams and has an expectation for flexibility in your work schedule. Hours may start at 7:00 a.m. CST.
Work Authorization/Sponsorship At this time, we're not considering applicants that need any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs please use the following links.
Nonimmigrant Workers and Green Card for Employment-Based ImmigrantsInvestment Code of Ethics For Principal Asset Management positions, you'll need to follow an Investment Code of Ethics related to personal and business conduct as well as personal trading activities for you and members of your household. These same requirements may also apply to other positions across the organization.
