Data Engineer – Workforce Data Engineering; Hybrid in Des Moines, IA

Data Engineer – Workforce Data Engineering Team

What 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.

This 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.

We 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

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
.

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.

• Bachelor's degree or a Master's degree in a related field
• Proficiency in SQL, Python and version control tools like Git Hub
• 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

• Experience with Snowflake and AWS services
• Ability to work directly with data and data stores 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

• Data Engineer I: $62,000 - $84,000 / year
• Data Engineer II: $77,000 - $105,000 / year

Flexible 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.

Yes

This role offers in‑office or hybrid work arrangements out of our Des Moines, Iowa World Headquarters.

We’ll consider talent at the next level, Data Engineer II, with the right experience and skills.

Hours may start at 7:00 a.m. CST. Expect flexibility to partner with global teams.

We are not considering applicants requiring immigration sponsorship.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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.

Principal uses artificial intelligence tools to assist in reviewing and evaluating job applications. These tools support our human recruiters in the initial review process but do not make final hiring decisions without human involvement.