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# Field Data Engineer

- **Company:** Insight Global
- **Location:** Blue Ash, OH, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Information Engineering, Python (Programming Language), DataOps, SQL Databases, Test Data, Data Processing, Data Storage Technologies, Git, Data Pipelines
- **Published:** June 20, 2026
- **Apply:** https://www.juju.com/job/00000000g9nv63

## About the Role

2+ years of hands on experience in a test engineer role or mechanical engineering role

Strong understanding of data engineering fundamentals

5+ years of hands-on experience building and maintaining data pipelines

Advanced skills in Python

5+ years' experience with data processing, organization, and transformation

Familiarity with SQL, Git, and data engineering best practices Medical Device industry experience

## Description

An employer is seeking a Field Data Engineer for a long term opportunity in the Cincinnati, OH area. This Data Engineer will be tied to multiple NPD projects for a medical device leader and will report into the Data Lead over the program. The Field Data Engineer will be required to establish consistency, structure, and scalability across how data is collected, stored, processed, and prepared for deeper analytics. This individual will own the end-to-end data lifecycle for field and test data, driving standardization and enabling reliable downstream analysis. While this is an individual contributor role, it requires strong leadership, initiative, and the ability to independently prioritize work across multiple stakeholders as the stakeholders they will be working with are mechanical and test engineers. Ideally someone with 2+ years in a testing role will be the correct fit for this role.

The main responsibilities will include:

Data Collection - establish and enforce data collection norms, streamline existing collection processes and participate in data collection. This will be performed utilizing python, git, SQL or other data engineering tools

Data Storage: compile, clean, organize, and develop data pipelines and database schemas coming from ~10 collective test stands, including offline equipment. They will also support data transfers via USB and other offline methods, ensuring integrity and traceability


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