Data Product Engineer — Cloud Data Pipelines

Us Bank; Minneapolis (MN); Hybrid; USD 105,000 - 124,000; Full time

Benefits offered by this job

Healthcare

401(k) plan

Paid vacation

Job summary

U.S. Bank is seeking a skilled Data Product Engineer to build, test, deploy, and support scalable data pipelines and data products on Snowflake, AWS, and Azure.

You will translate business and technical requirements into reliable solutions within an engineering team, ensuring quality, security, and governance across platforms. Collaborate with analysts, owners, and platform teams to deliver end-to-end data solutions, while contributing to production support and continuous improvement in a global

Qualifications

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

Responsibilities

• Build and enhance data pipelines and data products using Snowflake and AWS and/or Azure services.
• Participate in the delivery lifecycle, including requirements clarification, component design, development, testing, deployment, documentation, and optimization.
• Implement technical designs and reusable patterns defined by senior engineers or solution architects.
• Develop data transformations, ingestion processes, and orchestration workflows that meet functional and non-functional requirements.
• Monitor and support data products in production, troubleshoot issues, and complete root-cause analysis with guidance as needed.

Skills

Snowflake

AWS

Azure

SQL

Python

Git

CI/CD

Data governance

Observability

Education

Bachelor's degree

Equivalent experience

Tools

Snowflake

S3

Glue

Data Factory

Synapse

ADLS

Job description

U.S. Bank is seeking a skilled Data Product Engineer to build, test, deploy, and support scalable data pipelines and data products on Snowflake, AWS, and Azure.

You will translate business and technical requirements into reliable solutions within an engineering team, ensuring quality, security, and governance across platforms. Collaborate with analysts, owners, and platform teams to deliver end-to-end data solutions, while contributing to production support and continuous improvement in a global