Cloud & 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

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.