Senior Data Engineer

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.

We're looking for a Senior Data Engineer to design, build, and support scalable data engineering solutions that power analytics, AI, and business‑critical data products. This role combines strong software engineering fundamentals with modern data engineering practices and requires an individual who thrives in a collaborative, agile environment and takes ownership of delivering reliable, high-quality solutions.

• Design, develop, test, and maintain scalable data pipelines and applications
• Build batch and real‑time solutions supporting analytics and AI use cases
• Deliver production‑ready, high‑quality code aligned to engineering standards

• Create reliable, scalable, and performant solutions
• Apply software engineering best practices, code reviews, testing, and automation
• Ensure compliance, security, and operational readiness throughout the development lifecycle

• Analyze production issues, identify root causes, and implement improvements
• Champion Dev Ops, Data Ops, and software reliability engineering practices
• Help improve engineering processes, delivery velocity, and overall solution quality

• Partner with product, architecture, engineering, and business stakeholders to deliver customer-focused solutions
• Translate requirements into technical designs and actionable development plans
• Communicate progress, risks, and blockers proactively

• Leverage modern technologies, cloud platforms, and AI‑enabled development tools
• Contribute to a culture of innovation, collaboration, and continuous learning

• Bachelor's degree, or equivalent work experience
• Five+ years of relevant software engineering or data engineering experience

• Experience building scalable data pipelines and data processing solutions
• Strong proficiency in Python, PySpark, SQL, and software engineering best practices
• Experience delivering production‑grade applications and data products

• Experience with Databricks and/or Snowflake
• Familiarity with Kafka, Spark, CDC frameworks, or related technologies
• Experience with Azure and/or AWS cloud environments

• Strong understanding of Agile, Dev Ops, and CI/CD principles
• Knowledge of algorithms, data structures, architectural patterns, and system design
• Experience with monitoring, data quality, and operational support practices

• Ability to work effectively across product, engineering, and business teams
• Strong analytical, troubleshooting, and problem‑solving skills
• Ability to understand business objectives and translate them into technical solutions

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.

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…