Software Engineer 2 (Data Lake & Data Warehouse Solutions)

U.S. Bank; Charlotte (NC); On-site; USD 111,000 - 131,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) and retirement plan

Paid vacation

Job summary

U.S. Bank is seeking a data engineering professional to design and maintain enterprise-scale Data Warehouse, Data Lake, and Lakehouse solutions. You will build scalable data models and ETL/ELT pipelines using SQL, Python, and cloud-native technologies to support BI, analytics, and AI initiatives.

You will collaborate with stakeholders across the organization to deliver high-quality data assets, modernize legacy workloads, and ensure data quality, governance, and security across platforms.

Qualifications

• Bachelor's degree or equivalent work experience.
• Three to five years of relevant experience.
• Experience with data warehousing, data lakes or lakehouses.

Responsibilities

• Design, develop, and maintain enterprise-scale Data Warehouse, Data Lake, and Lakehouse solutions.
• Build and optimize scalable data models, database architectures, and storage frameworks.
• Develop and modernize batch, streaming, and near real-time ETL/ELT pipelines using SQL, Python, and cloud-native technologies.
• Integrate and transform data from diverse sources while ensuring quality and reliability.
• Implement and modernize enterprise data integration using tools like Informatica or IBM DataStage.
• Collaborate with stakeholders to gather requirements and deliver scalable data solutions.
• Enable BI, analytics, and AI/ML initiatives by delivering trusted datasets.
• Monitor and optimize data platforms and cloud environments for high availability and performance.

Skills

Data modeling

SQL

Python

Cloud platforms

DevOps

Git / CI/CD

Data governance

ETL/ELT

Big data concepts

Collaboration

Education

Bachelor's degree or equivalent

Tools

Informatica

IBM DataStage

Apache Spark

Databricks

Airflow

Job description

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 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

• Bachelor’s 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 there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

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

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 the E-Verify program.

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: $111,095.00 - $130,700.00

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.