Data Product Engineer

U.S. Bank; Minneapolis (MN); On-site; USD 105,000 - 124,000; Full time

Benefits offered by this job

Healthcare

401(k)

Paid vacation

Adoption assistance

Sick leave

Job summary

U.S. Bank in Minneapolis is seeking a skilled Data Product Engineer to build, test, deploy, and support scalable data pipelines and data products on Snowflake, AWS, and Azure.

You will translate business requirements into reliable solutions, follow CI/CD and data governance standards, and collaborate across a global delivery model.

This role requires 5–7 years of data analytics experience and a related Bachelor's degree, with strong SQL and Python skills.

Qualifications

• Bachelor's degree in a related field or equivalent work experience.
• 5–7 years of statistical and/or data analytics experience.

Responsibilities

• Build, test, deploy, and support scalable data pipelines and data products.
• Follow CI/CD standards and implement data transformations and data quality checks.
• Monitor production data products and perform root-cause analysis.
• Collaborate with analysts, product owners, and platform teams across locations.

Skills

Snowflake

AWS

Azure

ETL/ELT

SQL

Python

Git

CI/CD

Data governance

Observability

Education

Bachelor's degree

Tools

Snowflake SQL

S3

Glue

Lambda

Redshift

Data Factory

Synapse

ADLS

Job description

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description 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.

Key Responsibilities

• Data Product Engineering 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.
• Quality, Standards & Continuous Improvement 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.
• Operational Excellence 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.
• Collaboration & Delivery 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.

Basic Qualifications

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

Preferred Skills/Experience

• 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.

Location Expectations

This role requires working from a U.S. Bank location three (3) or more days per week If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following: 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 Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer.

We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

Pay Range

Pay Range: $105,400.00 - $124,000.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.