Jobs / United States / US Bank National Association
Infrastructure Data Analytics Engineer
US Bank National Association · 🇺🇸 9 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordUSCIS Data Hub records 294 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Last confirmed live 4 days agoWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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 →
Sponsor Radar — US Bank National Association
USCIS Data Hub records 294 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).
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 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 The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This role combines data engineering, analytics, automation, and operational intelligence to provide actionable insights that support technology strategy, operational excellence, risk management, and executive decision making. The ideal candidate possesses strong technical skills in SQL, Python, Alteryx, API integration, and data transformation while adhering to software development lifecycle (SDLC) practices, including source code management, testing, deployment, and release management. Key Responsibilities Data Acquisition & Integration • Design and develop data ingestion processes from multiple sources, including: • Infrastructure monitoring platforms • CMDB and asset management systems • Cloud platforms (Azure, AWS) • Enterprise databases • REST and GraphQL APIs • SaaS and third-party technology platforms • Build and maintain scalable ETL/ELT pipelines to acquire, cleanse, transform, validate, and enrich data. • Integrate structured and unstructured data from disparate technology systems into centralized analytics platforms. • Automate recurring data collection and processing activities. Data Engineering & Transformation • Develop complex SQL queries, stored procedures, views, and data models. • Create Python-based solutions for: • Data extraction • Data transformation • Data quality validation • Automation workflows • API integrations • Design and maintain Alteryx workflows for data preparation, blending, and analytics automation. • Implement reusable transformation frameworks and standardized data processing patterns. • Perform data reconciliation and data quality assurance activities. Analytics & Reporting • Analyze infrastructure and operational data to identify: • Trends • Risks • Performance issues • Capacity constraints • Optimization opportunities • Support executive reporting, operational scorecards, and KPI dashboards. • Translate technical findings into business-friendly recommendations and insights. • Partner with infrastructure, engineering, operations, and leadership teams to support data-driven decision making. Automation & API Development • Develop API integrations between internal and external platforms. • Build automated workflows that reduce manual effort and improve data timeliness. • Support near real-time and batch data processing requirements. • Create reusable libraries and utilities that accelerate analytics delivery. SDLC, DevOps & Release Management • Follow established Software Development Lifecycle (SDLC) methodologies including Agile delivery practices. • Maintain source code in approved repositories (GitHub, GitLab, Azure DevOps, etc.). • Utilize branching, pull request, peer review, and merging standards. • Develop and maintain CI/CD deployment pipelines. • Create and maintain technical documentation, runbooks, and deployment procedures. • Participate in release planning, change management, testing, and production deployments. • Ensure appropriate version control, auditability, and governance of analytics assets an