Job 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. 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 learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce : Skills and Requirements 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

The role requires a strong understanding of data engineering fundamentals and at least five years of hands-on experience in building and maintaining data pipelines. Advanced skills in Python are necessary, along with over five years of experience in data processing, organization, and transformation. Familiarity with SQL, Git, and data engineering best practices is also expected. Experience within the Medical Device industry is a requirement for this position.