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# Data Engineer- Hybrid Onsite Des Moines, Iowa

- **Company:** Wellabe Services Co
- **Location:** Des Moines, IA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Bash Shell, Continuous Integration, Data Architecture, Data Auditing, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Mapping, Github, Python (Programming Language), Performance Tuning, SQL Databases, Enterprise Data Management, Data Processing, Data Storage Technologies, Apache Spark, Git, Data Lakes, Pyspark, Information Technology, Data Analytics, Data Management, Software Version Control, Data Pipelines, Databricks
- **Published:** June 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=81029ffa4d7910b4

## About the Role

Do you have experience in Version control systems?, Do you have a Bachelor's degree?, * Bachelor's degree or foreign equivalent in Data Science, Computer Science, Data Analytics, Management Information Systems, or related field

 * 3 years of experience in the following:
 + Data engineering and/or data architecture
 + SQL
 + Python, PySpark, or Bash
 + Azure DevOps for CI/CD
 + Version control such as Git, GitHub, or Azure DevOps
 + Developing ETL pipelines
 + Working in data management and transformation processes
 + Azure Databricks
 + Using advanced performance tuning
 + Data validation
 + Apache Spark and Delta Lake.
 * 2 years of experience with Cluster management
 * Must work in Des Moines, IA office with the option to work from home a few days per week

## Description

Wellabe is looking for a Date Engineer to join our team. The Data Engineer will: Implement and optimize ETL process to ensure data accuracy, consistency, and scalability. Support the buildout, migration, and maintenance of the company's Enterprise Data Lake house. Work with senior engineers to design and develop data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems. Work closely with Information Technology teams to implement continuous integration and deployment (Cl/CD) pipelines using Azure DevOps. Assist in administering and optimizing Azure Databricks clusters and ensure efficient data processing. Collaborate with analysts and business units to design and implement efficient data models. Determine data tracking and storage needs, perform data auditing and validation, perform data mapping, loading and conversion planning, and resolve data issues or discrepancies.


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