> Markdown version of [/jobs/ext/2549085-data-engineer-hybrid](https://www.wearedevelopers.com/jobs/ext/2549085-data-engineer-hybrid). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer - Hybrid

- **Company:** Genesis10
- **Location:** Eagan, MN, United States
- **Experience:** Expert
- **Salary:** $164,528.0 - $185,328.0
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, JIRA, Big Data, Cloud Computing, Cloud Database, Information Engineering, Data Integration, Extract Transform Load (ETL), Distributed Computing Environment, Distributed Systems, Apache Hive, Python (Programming Language), Standard Sql, Software Engineering, SQL Databases, Apache Spark, Git, Pyspark, Data Pipelines, Databricks
- **Published:** August 4, 2026
- **Apply:** https://www.dice.com/job-detail/36ff1758-c2e1-402f-a7f4-5c834554d593

## About the Role

* 5+ years of professional data engineering experience
 * Healthcare or health insurance industry experience
 * Strong Python and SQL skills with experience developing scalable ETL/ELT pipelines
 * Experience processing large datasets using Spark, PySpark, Spark SQL, or similar distributed processing technologies
 * Experience building cloud-based data engineering solutions using AWS or equivalent cloud platforms
 * Strong understanding of data modeling, data integration, and data quality best practices
 * Experience designing and implementing enterprise data pipelines
 * Ability to work independently while collaborating across technical teams
 * Strong analytical, troubleshooting, and problem-solving skills
 * Excellent verbal and written communication skills
 * Experience working within Agile software development environments

Desired Skills:

 * Hands-on Databricks experience including notebooks, workflows, and cluster management
 * Experience with AWS services including S3, Lambda, Glue, EC2, and related cloud technologies
 * Experience scheduling and automating data pipelines
 * Experience using Git in collaborative development environments
 * Experience working with Jira, epics, and Agile workflows
 * Working knowledge of UNIX/Linux scripting
 * AWS certification

## Description

This role involves designing, developing, and maintaining scalable cloud-based data pipelines and integration solutions within the healthcare industry. The ideal candidate will build ETL/ELT processes to support enterprise analytics, working with large datasets using Python, SQL, and distributed computing technologies like Spark on the AWS platform., * Design, develop, and maintain scalable cloud-based data pipelines and integration solutions

 * Build ETL/ELT processes that support enterprise analytics and operational reporting
 * Process and transform large datasets using distributed computing technologies
 * Develop reusable data engineering components that improve scalability and maintainability
 * Partner with business analysts, product owners, and engineering teams to understand requirements and deliver technical solutions
 * Participate in solution design, architecture discussions, and technical reviews
 * Troubleshoot production issues and implement long-term improvements
 * Support testing, deployment, and ongoing maintenance of enterprise data solutions
 * Contribute to engineering best practices and continuous improvement initiatives
 * Participate in Agile ceremonies and collaborate with cross-functional teams throughout the software development lifecycle


## Related Videos

- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)

## Related Articles

- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)