Credit Risk Data Engineer: Cloud Data Pipelines & Modernization

Usbank; Warszawa; Hybrid; PLN 180,000 - 280,000; Full time

Job summary

U.S. Bank / Elavon is seeking a Data Engineering Analyst to help modernize Credit Risk data and build scalable pipelines using SQL, Python, Databricks, and Snowflake.

The role focuses on data onboarding, governance, and automated data processing to support regulatory, forecasting, modeling, and reporting needs. The ideal candidate has 6+ years in data engineering or related roles, strong SQL/Python skills, and hands-on experience with cloud platforms like Azure or AWS.

Qualifications

• 6+ years of data engineering or related tech roles.
• Strong SQL and Python programming skills.
• Experience with large-scale data transformations and pipelines.
• Familiarity with cloud platforms such as Azure or AWS.

Responsibilities

• Design and maintain scalable data solutions using SQL, Python, and Databricks.
• Onboard source-system data and document data requirements.
• Develop data transformations, validation, and automation processes.
• Support data governance, quality, and lineage activities.

Skills

SQL

Python

Data pipelines

Databricks

Snowflake

Azure/AWS

Data governance

Education

Bachelor’s degree

Tools

Git

CI/CD

Power BI

Job description

U.S. Bank / Elavon is seeking a Data Engineering Analyst to help modernize Credit Risk data and build scalable pipelines using SQL, Python, Databricks, and Snowflake.

The role focuses on data onboarding, governance, and automated data processing to support regulatory, forecasting, modeling, and reporting needs. The ideal candidate has 6+ years in data engineering or related roles, strong SQL/Python skills, and hands-on experience with cloud platforms like Azure or AWS.