Infrastructure Data Analytics Engineer

U.S. Bank; Denver (CO); On-site; USD 105,000 - 124,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) and employer-funded retirement

Paid vacation and holidays

Parental leave and disability coverage

Sick leave accruals

Employee assistance programs

Job summary

U.S. Bank is seeking an Infrastructure Data Analytics Engineer to acquire, transform, and analyze data across infrastructure, cloud, and enterprise tech. You will design ETL pipelines, develop Python-based solutions, and automate data workflows to support technology strategy and executive decisions.

The role emphasizes SQL, Python, Alteryx, API integration, and data governance, with collaboration across engineering, operations, and leadership teams to enable data-driven decisions.

Qualifications

• Bachelor’s degree or equivalent work experience in a related field.
• 5–7 years of statistical or data analytics experience.

Responsibilities

• Design and build data ingestion processes from multiple sources.
• Develop ETL/ELT pipelines to cleanse, transform and enrich data.
• Create Python-based solutions and maintain Alteryx workflows.
• Analyze infrastructure and operational data for KPIs and reports.
• Develop API integrations and automated data workflows.
• Follow SDLC, DevOps practices and release management.
• Ensure data governance, security, and compliance requirements.

Skills

SQL (Advanced)

Python

Alteryx

Power BI

Data Modeling

Data Quality Management

REST APIs

ETL/ELT

Git/GitHub or GitLab

Agile & Scrum

Education

Bachelor’s degree in a related field

Tools

Power BI

Tableau

Azure

AWS

Databricks

Snowflake

CI/CD tools (GitHub/GitLab/Azure DevOps)

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

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:
• 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:
• 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:
• 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 and code.
• Support incident management and post-release validation activities.

Governance & Compliance

• Ensure adherence to enterprise data governance, security, and compliance requirements.
• Maintain data lineage and metadata documentation.
• Implement controls for data quality, access management, and operational resiliency.
• Support regulatory and audit requests related to analytics solutions.

Basic Qualifications

• Bachelor’s degree in a related field, or equivalent work experience
• Five to seven years of statistical and/or data analytics experience

Preferred Qualifications

• Experience analyzing infrastructure, cloud, or operational technology data.
• Experience with Power BI, Tableau, or similar visualization platforms.
• Experience with Azure, AWS, Databricks, Snowflake, or enterprise data platforms.
• Knowledge of Infrastructure Observability and Monitoring platforms (Datadog, Splunk, Dynatrace, ServiceNow, etc.).
• Experience with CI/CD tools and release automation.
• Understanding of data governance, metadata management, and data quality frameworks.
• Experience supporting enterprise-scale transformation or modernization programs.

Technical Skills

Programming & Analytics

• SQL (Advanced)
• Python
• Alteryx
• Power BI
• Excel

Data & Integration

• REST APIs
• JSON / XML
• ETL / ELT
• Data Modeling
• Data Quality Management

DevOps & SDLC

• GitHub / GitLab / Azure DevOps
• Version Control
• CI/CD Pipelines
• Release Management
• Test Automation
• Agile & Scrum Methodologies

Infrastructure Knowledge (Preferred)

• Azure
• AWS
• Windows Server
• Linux
• Networking Fundamentals
• CMDB / Asset Management
• Infrastructure Monitoring Platforms

This position is not eligible for visa sponsorship

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:

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That’s why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

• 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: $105,400.00 - $124,000.00

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.