Software Engineer 2 (Data Lake & Data Warehouse Solutions)

At U.S. Bank were 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 atall from Day One.

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 to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and DevOps principles.

Essential Responsibilities:

• Design develop and maintain enterprise-scale Data Warehouse Data Lake and Lakehouse solutions that support operational analytical and AI-driven business initiatives.
• Build and optimize scalable data models database architectures and storage frameworks to enable reporting analytics and operational workloads.
• Develop enhance support and modernize batch streaming and near real-time ETL/ELT pipelines using SQL Python and cloud-native technologies including migration of legacy workloads to modern data platforms.
• Integrate and transform structured semi-structured and unstructured data from diverse internal and external sources while ensuring data quality consistency and reliability.
• Implement support and modernize enterprise data integration solutions utilizing platforms such as Informatica IBM DataStage or comparable ETL tools including migration of legacy ETL processes to modern data engineering frameworks.
• Collaborate with business stakeholders analysts architects and application teams to gather requirements and deliver scalable high-performance data solutions.
• Enable Business Intelligence Advanced Analytics and AI/ML initiatives by preparing optimizing governing and delivering trusted datasets across the organization.
• Monitor troubleshoot automate and optimize data platforms pipelines and cloud environments while providing operational support for critical enterprise data integration processes to ensure high availability performance scalability security and operational excellence.

Basic Qualifications

• Bachelors degree or equivalent work experience
• Three to five years of relevant experience

Preferred Skills/Experience

• Strong experience designing and supporting Data Warehouses Data Lakes Lakehouse and modern data architecture including data integration and large-scale data management solutions.
• Advanced proficiency in SQL with hands-on expertise in data modeling database design performance tuning query optimization and data engineering best practices.
• Experience developing or supporting data processing automation orchestration and ETL/ELT solutions using Python.
• Hands-on experience with at least one major cloud platform including AWS Microsoft Azure or Google Cloud Platform (GCP) and related cloud-native data services.
• Experience supporting data platform modernization initiatives including migration of data warehouses ETL/ELT processes and analytics workloads from on-premises environments to cloud-based architectures.
• Strong understanding of end-to-end ETL and data integration architecture including data movement orchestration transformation operational support and performance optimization across multiple technology platforms.
• Experience with modern big data and orchestration frameworks such as Apache Spark Databricks Airflow or similar technologies.
• Strong knowledge of DevOps source control CI/CD and version management practices using tools such as Git GitHub Azure DevOps or equivalent platforms.
• Understanding of data governance data quality metadata management security privacy regulatory compliance and familiarity with AI-assisted development tools such as GitHub Copilot ChatGPT Claude or similar productivity platforms.

Location expectations
This role requires working from a U.S. Bank location three (3) or more days per week.

If theres anything we can do to accommodate a disability during any portion of the application or hiring process please refer to ourdisability 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. Thats 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 theE-Verify program.

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.