Data Engineer I (Hybrid - Des Moines)
About The Position
Kickstart Your Data Engineering Career—Where Every Interaction Tells a Story Do you get excited about turning raw data into insights that actually matter? Want to work with cutting edge data platforms, modern engineering practices, and AI driven analytics all while collaborating with teams that power everything from mobile apps to contact centers? If you’re passionate about learning fast, building at scale, and seeing the real-world impact of your work, Principal’s Omnichannel Interactions Data Engineering Team is the place for you. We’re a highly engaged team of data engineers responsible for aggregating, curating, and elevating customer interaction data across the entire enterprise. From web and email to calls and emerging digital channels, we bring together data from diverse systems to create a single, cohesive, and trusted view of how Principal connects with its customers. Why This Role Is Exciting: Building and evolving modern data pipelines using cloud native and AI enabled technologies Working hands on with enterprise scale data, learning best in class engineering, governance, and security practices Collaborating across product, analytics, and AI teams to fuel Business Intelligence, Machine Learning, and operational use cases Helping shape the future of customer interactions by improving data quality, completeness, and usability enterprise wide
Requirements
- Bachelor's degree or a Master's 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) 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 Eligible
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
