Sr Data Engineer I

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Das ist der Job

You’ll work with your leader to figure out which option may align best based on several factors.

Darum lohnt es sich

What You'll Do We’re looking for a Senior Data Engineer I to join our Retirement Modernization Data Enablement team. You’ll design and deliver data pipelines and data products, working across teams to support analytics, reporting, and emerging data use cases while contributing to engineering standards and best practices in a modern data ecosystem.

Design, build, and maintain scalable data pipelines and systems across multiple platforms supporting the full data lifecycle, from ingestion and transformation to analytics-ready datasets Deliver high-quality, reliable data solutions by applying best practices in version control, testing, monitoring, and proactively addressing data quality issues, performance bottlenecks, and technical debt Partner with upstream and downstream teams and contribute to technical design discussions to ensure data is effectively modeled, governed, and delivered Apply security policies and standards during development and support risk mitigation efforts Create and maintain documentation while collaborating with team members through code reviews, pairing, and knowledge sharing Who You Are Bachelor’s degree plus 6+ years related work experience or a Master’s in related field plus 2+ years related work experience Proven experience delivering data engineering solutions, including data ingestion, transformation, modeling, and storage to support analytics, reporting, and advanced data use cases, with exposure to data mesh principles in modern data platform environments Demonstrated ability to shape data architecture and influence technical strategy across teams, establishing patterns, standards, and best practices Trusted technical leader with strong communication and collaboration skills who can influence across teams and business units and navigate ambiguity in modernizing data environments Experience elevating the people around you; coaching, mentoring, and helping others grow through thoughtful feedback and knowledge sharing Proven experience working across the full data lifecycle, from source‑aligned ingestion and foundational data preparation through to analytics‑ready datasets, with an understanding of how upstream design decisions enable downstream analytics and data products Strong technical foundation working hands‑on with data and data stores, including SQL, and with data pipeline development Experience optimizing data pipelines and processing systems for high‑volume, complex datasets Experience implementing data quality management across the data lifecycle, including validation, reconciliation, and mastering, with an emphasis on observability, monitoring, and operational readiness Skills That Will Help You Stand Out Experience with modern enterprise data platforms (e.g., Snowflake) Familiarity with data quality tools and practices (e.g., Ataccama) Experience with data integration tools (e.g., AWS Glue, Fivetran, Informatica IDMC) Experience with transactional/source system data modeling (e.g., 3NF) Experience with monitoring, observability, and pipeline reliability Work Environment This role operates within core Central Standard Time business hours, so flexibility to work within that time frame is required.

In this role, you'll help enable how critical transactional data moves from source systems into enterprise analytics platforms, ensuring the data is trusted, well-governed, and optimized for insight at scale.

This role offers in‑office, hybrid (blending at least three office days in a typical workweek), and remote work arrangements (only if residing more than 30 miles from Des Moines, IA, or Charlotte, NC).

Work Authorization At this time, we’re not considering applicants that need any type of immigration sponsorship or future work authorization to work in the United States. Equal Opportunity Employer Principal is an Equal Opportunity Employer.

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. #J-18808-Ljbffr

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