Software Engineer 2 - Analytics & AI

US Bank • Minneapolis, MN

42d • Hybrid

About The Position

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 This position will be responsible for the analysis, design, testing, development and maintenance of best in class software experiences. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and DevOps principles.

Requirements

• Bachelor's degree, or equivalent work experience
• Three to five years of relevant experience

Nice To Haves

• Programming: Proficiency in Python, Java, or Scala; strong SQL skills for data manipulation.
• Azure Services: Experience with Azure Synapse, Databricks, Data Factory, and Stream Analytics.
• Exposure to Azure Machine Learning, Cognitive Services, and AI Search.
• Data Engineering: Knowledge of ETL processes, data warehousing, and real-time streaming concepts.
• DevOps: Basic understanding of Azure DevOps, Git, and CI/CD pipelines.
• Testing: Ability to write unit and integration tests for data and AI workflows.
• Strong communication skills for collaborating with onshore and offshore teams.
• Ability to work in agile environments and adapt to changing priorities.
• Willingness to support weekend deployments and release activities.

Responsibilities

• Application Development: Implement data processing and AI features using Azure Synapse Analytics, Azure Databricks, Azure Data Factory, and Azure Machine Learning.
• Data Integration & AI Enablement: Develop ETL pipelines and integrate AI services like Azure Cognitive Services and Azure AI Search into applications.
• Cloud & Deployment Support: Assist in containerization and deployment using Docker, Kubernetes, and CI/CD pipelines.
• Collaboration: Work closely with offshore engineers for development and testing; ensure smooth handoffs and communication.
• Release Management: Support weekend deployments and production releases, including validation and rollback procedures.
• Continuous Learning: Stay updated on Azure analytics and AI advancements; apply best practices in coding and testing.

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
• Industry: Credit Intermediation and Related Activities
• Number of Employees: 5,001-10,000 employees