Jobs / Poland / US Bank National Association
Credit Risk Data Engineer
US Bank National Association · 🌍 Warsaw, Poland
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
- Confirmed live todayWhen a source last listed this job as open.
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — US Bank National Association
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for US Bank National Association →
About the role
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, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often—that’s what we call the courage to thrive. 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. Try new things, learn new skills and discover what you excel at—all from Day One. As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals—no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we’re building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other. We actively uphold transparent and fair hiring practices that support individual opportunity, inclusive culture, and career mobility across all levels of our organisation. We offer meaningful opportunities for growth, a culture of inclusion, and a strong commitment to transparency and integrity in everything we do. Job Description About the Role The Credit Risk Data Strategy team within Credit Risk Management is seeking a Data Engineering Analyst with strong hands-on SQL and Python skills, experience building data pipelines and working with cloud-based data platforms, and a proven ability to work within complex, fragmented data environments. This role will support our multi-year modernization journey by helping transition Credit Risk data and processes from legacy platforms and SAS-based solutions to a modern cloud architecture built on Databricks, Snowflake, SQL, and Python. The individual will work closely with other Data Strategy team members, Technology, and business stakeholders to support data product development, source-system onboarding, migration activities, and modernized data processes. This role will help develop trusted, governed, and scalable data solutions for regulatory, forecasting, modeling, and reporting needs while improving automation, data quality, and operational efficiency. Role Responsibilities • Partner with other Data Strategy team members, business stakeholders, Enterprise Data Office, and Technology teams to support Credit Risk data modernization and data product initiatives. • Support the development of portfolio and cross-portfolio Credit Risk Data Products, ensuring data is trusted, governed, and aligned with business requirements. • Design, develop, test, and maintain scalable data solutions using SQL, Python, Databricks, and other modern data technologies. • Collaborate with Technology teams to onboard source-system data, document data requirements, and support future-state Credit Risk data architectures. • Develop and enhance data transformation, validation, reconciliation, and automation processes to improve efficiency, scalability, and data quality. • Support the modernization of Credit Risk data processes by migrating legacy SAS-based and SQL-based solutions to Python, SQL, and cloud-based platforms. • Develop reusable code, data pipelines, and automation solutions using established development standards and version-control practices. • Perform data analysis, profiling, and research across large and complex datasets to identify issues, trends, and improvement opportunities. • Support data governance activities, includi