{"id":1909013,"url":"https://alion.io/job/u-s-bank-credit-risk-data-engineer","title":"Credit Risk Data Engineer","company":{"id":1754542,"name":"U.S. Bank","domain":"usbank.com","url":"https://alion.io/company/usbank-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":48,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":58000,"max_usd":94000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":111},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"Jira","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-10-05T13:58:15Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-28T06:33:15Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"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, 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.\nAs 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.\nWe actively uphold transparent and fair hiring practices that support individual opportunity, inclusive culture, and career mobility across all levels of our organisation.\nWe offer meaningful opportunities for growth, a culture of inclusion, and a strong commitment to transparency and integrity in everything we do.\nJob Description\nAbout the Role\nThe 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.\nThis 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.\nThis 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.\nRole Responsibilities\nPartner with other Data Strategy team members, business stakeholders, Enterprise Data Office, and Technology teams to support Credit Risk data modernization and data product initiatives. \nSupport the development of portfolio and cross-portfolio Credit Risk Data Products, ensuring data is trusted, governed, and aligned with business requirements. \nDesign, develop, test, and maintain scalable data solutions using SQL, Python, Databricks, and other modern data technologies. \nCollaborate with Technology teams to onboard source-system data, document data requirements, and support future-state Credit Risk data architectures. \nDevelop and enhance data transformation, validation, reconciliation, and automation processes to improve efficiency, scalability, and data quality. \nSupport the modernization of Credit Risk data processes by migrating legacy SAS-based and SQL-based solutions to Python, SQL, and cloud-based platforms. \nDevelop reusable code, data pipelines, and automation solutions using established development standards and version-control practices. \nPerform data analysis, profiling, and research across large and complex datasets to identify issues, trends, and improvement opportunities. \nSupport data governance activities, including data quality, lineage, controls, testing, and documentation. \nCreate and maintain technical documentation, process flows, playbooks, and training materials to support knowledge sharing and operational consistency. \nAssist with troubleshooting, root-cause analysis, and remediation of data and processing issues. \nIdentify opportunities to leverage automation, AI, and machine learning to simplify processes, enhance data quality checks, and improve decision-making. \nRole Requirements\nBachelor’s degree in Information Systems, Computer Science, Mathematics, Statistics, Engineering, or a related field, or equivalent work experience. \n6+ years of experience in data engineering, data science, data analytics, or related technology roles. \nStrong hands-on SQL and Python programming skills. \nExperience working with large-scale datasets, developing data transformations, pipelines, validation routines, and reconciliation processes. \nExperience with Databricks, Snowflake, Azure, AWS, or another cloud-based data platform. \nExperience supporting data modernization, migration, cloud transformation, or data platform implementation initiatives. \nFamiliarity with data architecture, database design, data modeling, and data management concepts. \nStrong analytical, problem-solving, and troubleshooting skills. \nAbility to translate business and data requirements into maintainable technical solutions. \nStrong communication and collaboration skills, with the ability to work effectively across business, data, and technology teams. \nOther Preferred Qualifications\nExperience in Credit Risk, Regulatory Reporting, Banking, or Financial Services. \nExperience with data quality, reconciliation, controls, and testing frameworks. \nExperience developing reusable Python frameworks, automation solutions, and data pipelines. \nExperience with Git-based version control, CI/CD pipelines, and deployment processes for data applications and data products. \nExperience with Agile delivery practices and tools such as Jira or Azure DevOps. \nFamiliarity with Power BI or other data visualization and reporting tools. \nExperience migrating SAS-based processes to SQL, Python, or cloud-based technologies. \nThis role requires working from a U.S. Bank location three (3) or more days per week.\nAccessibility\nWe are committed to providing an inclusive and accessible recruitment experience. If you need adjustments at any stage of the application or hiring process, please contact your recruiter for guidance and support.\nTotal Rewards\nU.S. Bank is committed to fair, equitable, and transparent compensation practices in line with local regulatory and legal requirements. Our total rewards approach is designed to attract, retain, and support top talent while ensuring equal pay for work of equal value.\nWe offer a market-competitive compensation package that includes:\nClearly defined salary ranges aligned with industry benchmarks and internal equity standards.\n\nPerformance-based incentives for eligible employees (as defined by relevant plan rules), awarded through transparent, objective criteria that recognize both individual and company performance.\n\nInclusive equitable benefits that are accessible to all employees and focused around our 3 main pillars of financial wellbeing, health & wellness).\n\nContinuous development opportunities including training, education support, and career progression pathways based on inclusive and transparent criteria.\n\nEmployee recognition programs that celebrate achievements and milestones for all.\n\nWe regularly review our compensation and benefits to ensure they remain competitive, inclusive, and responsive to employee needs and market trends. Further details of the compensation package will be provided upon application.\nWe encourage candidates to explore the full value of our offer, including monetary and non-monetary benefits, at Employee benefits and development | U.S. Bank | Elavon.\nClosing Date\nPosting may be closed earlier due to high volume of applicants.\nWe aim to provide timely updates throughout the process and encourage early applications to ensure consideration.","description_format":"text","description_chars":7864,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Commercial & Retail Banks","Mortgage Lending & Brokers"],"lifecycle":[{"event":"open","at":"2026-10-05T13:58:15Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.806,"p_room":0.75,"age_days":22,"expected_fill_days":26,"reasons":["conf:5","velocity","win:late","comp:brand"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/u-s-bank-credit-risk-data-engineer","json_url":"https://alion.io/job/u-s-bank-credit-risk-data-engineer.json","meta":{"generated_at":"2026-10-28T09:21:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12203,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1754542},"rest":"https://alion.io/mcp/rest/get_company?id=1754542"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fu-s-bank-credit-risk-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fu-s-bank-credit-risk-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fu-s-bank-credit-risk-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/u-s-bank-credit-risk-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fu-s-bank-credit-risk-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1909013}},{"tool":"search_jobs","arguments":{"company":"usbank.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1909013},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}