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# Data Engineer

- **Company:** Great West, LLC
- **Location:** South Sioux City, NE, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Standard Sql, DataOps, Cloud Platform System, Snowflake, Data Management, Data Pipelines, Databricks, Programming Languages
- **Published:** June 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=43bee0fe6ff1d772

## About the Role

Do you have experience in Snowflake?, Do you have a Master's degree?, Are you an early-career Data Engineer who enjoys building reliable data pipelines and wants to grow your skills in modern data platforms? Join our IT Data Management team and help shape the foundation of our data infrastructure while learning from experienced engineers and working on impactful, real-world solutions. This is an excellent opportunity for recent Master's graduates or professionals with a few years of experience who are eager to build scalable data solutions and grow into a senior-level role., * Master's degree in a related field or 1-3 years of relevant experience preferred.

 * Foundational experience or coursework in modern data platforms (Databricks, Snowflake, or similar).
 * Working knowledge of SQL and experience with at least one programming language such as Python.
 * Understanding of data modeling concepts and data pipeline development.
 * Strong problem-solving skills, curiosity, and a willingness to learn.
 * Ability to collaborate effectively in a team-oriented environment.

## Description

* Design, build, and maintain ETL/ELT pipelines to support analytics and reporting needs.
 * Assist in developing and enhancing data infrastructure that supports business growth.
 * Partner with data engineers, analysts, and business stakeholders to deliver high-quality data solutions.
 * Support cloud-based data platforms and contribute to platform enhancements and optimization.
 * Apply data engineering best practices related to data quality, reliability, and performance.
 * Follow data governance, privacy, and security standards while working with sensitive data.


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