Infrastructure Data Analytics Engineer
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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
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