Sr. Data Engineer / Software Engineer -Technology Health Analytics & Automation

U.S. Bank•Hopkins, MN

2d•Hybrid

About The Position

This position is responsible for analyzing, designing, testing, developing, and maintaining software experiences, while collaborating with teams and partners across the organization. The successful candidate takes responsibility for software artifacts and follows U.S. Bank standards to minimize customer impact, and is adept with agile software development and DevOps principles. The role designs, builds, and enhances technology health analytics and automation solutions supporting enterprise engineering and operational excellence. It develops scalable data pipelines, data models, and metric frameworks, and creates Power BI reporting products. It also develops workflow automation and AI-powered workflows for issue triage, summarization, anomaly detection, metric interpretation, and recommendations, with reusable prompts, agents, guardrails, and quality controls for responsible AI adoption. The role includes monitoring and alerting capabilities and partnership with cross-functional teams to promote health metrics, inform decisions, and deliver business outcomes. The role requires working from a U.S. Bank location three or more days per week.

Requirements

Bachelor’s degree or equivalent work experience.
Five to six years of relevant experience.
Advanced SQL skills for data extraction, transformation, and performance-aware analysis.
Proficiency in one or more relevant programming or scripting languages, such as Python, Java, C#, or JavaScript/TypeScript.
Ability to collaborate with a team and across the organization.

Nice To Haves

Demonstrated senior-scope delivery as an individual contributor on complex, cross-team initiatives.
Experience with technology health domains such as incidents, changes, vulnerabilities, and obsolescence.
Hands-on data analysis experience, including trend analysis, anomaly detection, and root-cause analysis.
Advanced experience building and scaling Power BI reporting products.
Practical experience using AI prompting and AI agents in analytics or engineering workflows.
Hands-on experience with Power Apps and Power Automate.
Experience with Git or GitLab and CI/CD practices.

Responsibilities

Analyze, design, test, develop, and maintain software experiences.
Design, build, and enhance technology health analytics and automation solutions for enterprise engineering and operational excellence initiatives.
Develop and maintain scalable data pipelines, data models, and metric frameworks for consistent reporting and insight generation.
Create and optimize Power BI dashboards, scorecards, and executive reporting solutions.
Develop workflow automation solutions using Power Apps, Power Automate, APIs, and modern programming languages.
Design and implement AI-powered workflows for issue triage, summarization, anomaly detection, metric interpretation, and recommendation generation.
Build reusable prompt frameworks, AI agents, guardrails, and quality controls to support responsible AI adoption at scale.
Implement monitoring, alerting, and exception management capabilities to identify technology risks and operational issues proactively.
Collaborate with cross-functional partners to drive adoption of health metrics, influence decisions, and deliver measurable business outcomes.
Take responsibility for software artifacts and adhere to U.S. Bank standards to minimize customer impact.

Benefits

Healthcare benefits including medical, dental, and vision coverage.
Basic term and optional term life insurance.
Short-term and long-term disability insurance.
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 hours worked, up to 80 hours per calendar year unless otherwise provided by law.
Incentive and recognition programs.
Equity stock purchase.