Data Engineer - ETL, Snowflake & Automated Pipelines

Empeople-Credit-Union; Moline (IL); On-site; USD 89,000 - 133,000; Full time

Benefits offered by this job

Health, Dental & Vision Benefits

Bonus opportunity

401(k) with match and profit sharing

Flexible Time Off

Job summary

Empeople Credit Union is seeking a skilled Data Engineer to design, build and automate data pipelines that feed analysts with strategic insights. You will create and maintain ETL processes, transform data into the warehouse, and ensure reliable validation and alerting across the workflow.

You will leverage Snowflake tools (Snowpipe, SnowSQL) and Azure Data Factory, using Python and SQL to connect APIs, files and sources, document configurations, and partner with business teams in an Agile

Qualifications

• 2+ years writing SQL with ETL transformation tools and Python.
• Experience importing data from APIs, files and other sources, transformation and pipelining.
• Experience in financial institutions preferred.
• Snowflake and Azure Data Factory experience preferred.

Responsibilities

• Partner with business users and technology teams to define requirements and build solutions in an Agile framework.
• Create and maintain an automated ETL framework within Snowflake and other tools.
• Use version control to manage data automation revisions.
• Maintain Data Warehouse configuration documentation and automation reports.
• Develop data automations using Azure Data Factory, Snowflake, and Python.
• Validate and cleanse data with QA checks to ensure clean data availability.
• Improve on-time delivery of data for analysts and 3rd party extractions.
• Troubleshoot data-related issues and support all CU areas.
• Identify new process improvement opportunities.

Skills

SQL

Python

ETL

Data transformation

Pipelining

Data quality assurance

Education

Bachelor's degree in Computer Science, Mathematics, Business

Tools

Snowflake

Snowpipe

SnowSQL

Azure Data Factory

Job description

Empeople Credit Union is seeking a skilled Data Engineer to design, build and automate data pipelines that feed analysts with strategic insights. You will create and maintain ETL processes, transform data into the warehouse, and ensure reliable validation and alerting across the workflow.

You will leverage Snowflake tools (Snowpipe, SnowSQL) and Azure Data Factory, using Python and SQL to connect APIs, files and sources, document configurations, and partner with business teams in an Agile