Field Data Engineer

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.

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

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

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

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.