Data Lake & Warehouse Engineer — Cloud ETL & Analytics

U.S. Bank; Englewood (CO); On-site; USD 111,000 - 131,000; Full time

Benefits offered by this job

Healthcare

Life Insurance

Disability

Paid Vacation

Holidays

Adoption Assistance

Sick Leave

Job summary

U.S. Bank is seeking a data engineer to design, develop, and maintain enterprise-scale data warehouses, lakes, and lakehouse architectures to support analytical and AI-driven initiatives.

You will collaborate across teams, optimize ETL/ELT pipelines with SQL and Python, and modernize data platforms using cloud services such as AWS, Azure, or GCP, ensuring data quality and security. Location expectations require working from a U.S.

Qualifications

• Bachelor's degree or equivalent work experience.
• Three to five years of relevant experience.

Responsibilities

• Design, develop, and maintain enterprise-scale data pipelines.
• Build scalable data models and storage frameworks for reporting and analytics.
• Develop and modernize ETL/ELT pipelines using SQL, Python, and cloud-native tools.
• Integrate data from diverse sources with quality and reliability.
• Implement and modernize ETL/ELT tools including Informatica or DataStage.
• Collaborate with stakeholders to deliver scalable data solutions.
• Enable BI, analytics, and AI/ML by delivering trusted datasets.

Skills

Data Warehouses

Data Lakes

Lakehouse

ETL/ELT

SQL

Python

Cloud Platforms

Data Modeling

Data Governance

Education

Bachelor's degree

Tools

Informatica

IBM DataStage

Databricks

Airflow

GitHub

Azure DevOps

Job description

U.S. Bank is seeking a data engineer to design, develop, and maintain enterprise-scale data warehouses, lakes, and lakehouse architectures to support analytical and AI-driven initiatives.

You will collaborate across teams, optimize ETL/ELT pipelines with SQL and Python, and modernize data platforms using cloud services such as AWS, Azure, or GCP, ensuring data quality and security. Location expectations require working from a U.S.