Data Product Engineer

U.S. Bank • Minneapolis, MN

1d • $105,400 - $124,000 • Hybrid

About The Position

We are seeking a skilled Data Product Engineer to build, test, deploy, and support scalable data pipelines and data products on modern cloud data platforms such as Snowflake, AWS, and Azure. This role works within an engineering team to translate defined business and technical requirements into reliable solutions, apply established engineering standards, and contribute to production support and continuous improvement.

Requirements

• Bachelor's degree in a related field, or equivalent work experience
• Five to seven years of statistical and/or data analytics experience

Nice To Haves

• Hands-on experience with Snowflake, including Snowflake SQL, data loading, data modeling, and basic performance tuning.
• Experience with AWS services such as S3, Glue, Lambda, Redshift, or EMR and/or Azure services such as Data Factory, Synapse, or ADLS.
• Experience building ETL/ELT pipelines and orchestration workflows.
• Proficiency in SQL and working knowledge of Python or a similar programming language.
• Working knowledge of Git, CI/CD pipelines, DevOps practices, and automated testing.
• Understanding of data quality, security, governance, cataloging, and observability concepts.
• Familiarity with modern data architecture concepts such as cloud data platforms, Lakehouse, event-driven integration, or Data Mesh.

Responsibilities

• Build and enhance data pipelines and data products using Snowflake and AWS and/or Azure services.
• Participate in the delivery lifecycle, including requirements clarification, component design, development, testing, deployment, documentation, and optimization.
• Implement technical designs and reusable patterns defined by senior engineers or solution architects.
• Develop data transformations, ingestion processes, and orchestration workflows that meet functional and non-functional requirements.
• Follow established coding, testing, security, data governance, and CI/CD standards.
• Write maintainable code and complete unit, integration, and data quality testing.
• Participate in code and design reviews and incorporate feedback into deliverables.
• Contribute ideas, reusable components, and small proof-of-concept efforts that improve quality, speed, or reliability.
• Monitor and support data products in production, troubleshoot issues, and complete root-cause analysis with guidance as needed.
• Implement logging, monitoring, alerting, lineage, and operational controls for assigned components.
• Maintain runbooks and technical documentation and participate in incident resolution and follow-up actions.
• Partner with platform and application teams to resolve environment, access, integration, and deployment issues.
• Work with business analysts, product owners, engineers, and platform teams to translate requirements into working solutions.
• Estimate assigned work, identify dependencies and risks, and provide clear status updates.
• Collaborate effectively in a global delivery model across time zones and cultures.
• Raise blockers early, respond constructively to feedback, and support shared team outcomes.

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree