Software Engineer -2

U.S. Bancorp

Irving, TX

JOB DETAILS
SKILLS
Agile Programming Methodologies, Analysis Skills, Architectural Services, Best Practices, Cloud Computing, Code Reviews, Continuous Improvement, Customer Experience, Data Lake, Data Management, Data Modeling, Data Partitioning, Data Processing, Data Storage, Data Warehousing, Database Extract Transform and Load (ETL), DevOps, Ecosystems, Embedded Systems, Emerging Technology, Establish Priorities, Failure Analysis, Machine Learning, Microsoft Windows Azure, Operational Improvement, People Management, Performance Tuning/Optimization, Power BI, Product Development, Python Programming/Scripting Language, Reliability Engineering, Reporting Dashboards, SQL (Structured Query Language), Sales Pipeline, Security Compliance, Software Development Lifecycle (SDLC), Software Engineering, Standards Development, Star Schema, Technical/Engineering Design, Test Design, Test Plan/Schedule
LOCATION
Irving, TX
POSTED
Today
Software Engineer

Be a part of transformational change where integrity matters, success inspires and great teams collaborate and innovate. As the fifth-largest bank in the United States, we're one of the country's most respected, innovative, ethical and successful financial institutions.We're looking for people who want more than just a job – they want to make a difference! U.S. Bank is seeking a Software Engineer who will contribute toward the success of our technology initiatives in our digital transformation journey. 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.

Essential Responsibilities:

  • Responsible for designing, developing, testing, operating and maintaining products
  • Takes full stack ownership by consistently writing production-ready and testable code
  • Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs
  • Performs analysis on failures, propose design changes, and encourage operational improvements
  • Makes sound design/coding decisions keeping customer experience in the forefront
  • Takes feedback from code review and apply changes to meet standards
  • Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures
  • Accountable for ensuring all aspects of product development follow compliance and security best practices
  • Exhibits relentless focus in software reliability engineering standards embedded into development standards
  • Embraces emerging technology opportunities and contributes to the best practices in support of the bank's technology transformation
  • Contributes to a culture of innovation, collaboration and continuous improvement
  • Reviews tasks critically and ensures they are appropriately prioritized and sized for incremental delivery; anticipates and communicates blockers and delays before they require escalation

Basic Qualifications:

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

Preferred Skills/Experience:

  • Strong proficiency in Python, PySpark, and SQL for large-scale data processing and performance optimization
  • Experience building and managing data pipelines using Azure Data Factory (ADF), Azure Synapse, and Databricks
  • Hands-on expertise with Azure Data Lake (ADLS) for scalable data storage, partitioning, and lifecycle management
  • Solid understanding of the Azure cloud ecosystem and end-to-end data platform capabilities
  • Experience designing modern data architectures, including data lakes and data warehouses
  • Strong knowledge of ETL/ELT frameworks and best practices in data pipeline development
  • Familiarity with Azure Machine Learning and integration of data engineering workflows with ML models
  • Proficiency in Power BI, including dashboard development, DAX, and semantic data modeling
  • Strong understanding of data warehousing concepts, including star schema, fact, and dimension modeling

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.

About the Company

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U.S. Bancorp