Data Product Engineer: Cloud Pipelines & Data Quality

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

Benefits offered by this job

Healthcare

401(k)

Paid vacation

Adoption assistance

Sick leave

Job summary

U.S. Bank in Minneapolis 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 requirements into reliable solutions, follow CI/CD and data governance standards, and collaborate across a global delivery model.

This role requires 5–7 years of data analytics experience and a related Bachelor's degree, with strong SQL and Python skills.

Qualifications

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

Responsibilities

• Build, test, deploy, and support scalable data pipelines and data products.
• Follow CI/CD standards and implement data transformations and data quality checks.
• Monitor production data products and perform root-cause analysis.
• Collaborate with analysts, product owners, and platform teams across locations.

Skills

Snowflake

AWS

Azure

ETL/ELT

SQL

Python

Git

CI/CD

Data governance

Observability

Education

Bachelor's degree

Tools

Snowflake SQL

S3

Glue

Lambda

Redshift

Data Factory

Synapse

ADLS

Job description

U.S. Bank in Minneapolis 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 requirements into reliable solutions, follow CI/CD and data governance standards, and collaborate across a global delivery model.

This role requires 5–7 years of data analytics experience and a related Bachelor's degree, with strong SQL and Python skills.