Job DescriptionKey Responsibilities
- Design, develop, and maintain enterprise-scale Data Warehouse, Data Lake, and Lakehouse solutions supporting operational reporting, analytics, and AI/ML initiatives.
- Build and enhance scalable data models, database architectures, and data storage frameworks to support business, analytical, and operational requirements.
- Develop, optimize, and support batch, streaming, and near real-time ETL/ELT pipelines using SQL, Python, cloud-native services, and modern data integration technologies.
- Integrate, transform, and manage structured, semi-structured, and unstructured data from multiple internal and external data sources while ensuring data quality and reliability.
- Implement and support enterprise data integration solutions utilizing Informatica, IBM DataStage, or similar ETL/data integration platforms.
- Partner with business stakeholders, analysts, architects, and application teams to gather requirements and deliver scalable, high-performing data solutions.
- Enable business intelligence, advanced analytics, and AI/ML use cases by preparing, optimizing, and governing datasets for enterprise consumption.
- Monitor, troubleshoot, and tune data platforms and pipelines to ensure high availability, performance, scalability, automation, and operational excellence.
- Implement and support cloud-based data solutions leveraging AWS, Microsoft Azure, or Google Cloud Platform (GCP) services.
- Apply enterprise standards for data governance, security, privacy, compliance, and metadata management to protect organizational data assets.
Basic Qualifications-Bachelor's degree or equivalent work experience
-At least 5 years experience with tools, facilities and techniques for managing and administering data.
Preferred Skills/Experience- Hands on experience in Data Engineering, Data Warehousing, ETL/ELT Development, Data Integration, or Data Management roles.
- Advanced proficiency in SQL with hands-on experience in data modeling, database design, query optimization, and performance tuning.
- Strong programming experience with Python for data processing, automation, orchestration, and engineering solutions.
- Experience designing and supporting modern Data Warehouse, Data Lake, Lakehouse, and distributed data architectures.
- Hands-on experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP).
- Experience developing scalable ETL/ELT pipelines using SQL, Python, cloud-native services, and enterprise integration tools.
- Knowledge of modern big data and orchestration technologies such as Apache Spark, Databricks, Airflow, or related platforms.
- Experience with Git, GitHub, Azure DevOps, CI/CD pipelines, and DevOps best practices for data engineering.
- Understanding of data governance, data quality, security, privacy, compliance, and metadata management principles.
- Familiarity with AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude, or similar productivity solutions, along with strong analytical, problem-solving, communication, and stakeholder management skills.
Location expectationsThis role requires working from a U.S. Bank location three (3) or more days per week.
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. 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 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.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00
Posting may be closed earlier due to high volume of applicants. 
