GE Aerospace
Sr Data Engineer
Dayton · Senior · Full-time · Posted Oct 9, 2026
- Experience
- At least 2 years with a bachelor’s degree, 5 years with an associate’s degree, or 7 years with a high school diploma; military experience is equivalent to professional experience.
- Education
- Bachelor’s degree from an accredited university or college, or associate’s degree, or high school diploma.
- Visa sponsorship
- Legal authorization to work in the U.S. is required. No employment visa sponsorship now or in the future. Must prove U.S. Person status as specified in the posting.
About the job
Designs and maintains data engineering processes, models, metadata, and ETL solutions for analytics, reporting, and data science, while supporting data quality and process automation.
What you'll do
- Profile and analyze data; build data dictionaries, glossaries, and logical and physical data models.
- Develop data mappings, ETL jobs, transformations, metadata structures, and data quality rules.
- Analyze downstream impacts and recommend solutions; identify automation opportunities and support post-deployment activities.
What they ask for
- Bachelor’s degree and at least 2 years of professional experience, or associate’s degree and at least 5 years, or high school diploma and at least 7 years; military experience counts as professional experience.
- Legal authorization to work in the U.S.; the employer will not sponsor employment visas for this job.
- Ability to prove U.S. Person status as specified in the posting, due to access to U.S. export-controlled information.
Nice to have
- Exposure to data modeling, ETL, data catalog, automated data discovery, or data lineage tools.
- Hands-on programming and SQL experience; exposure to big data, NoSQL, and XML or JSON datasets.
Tools
ERWin, ER Studio, Informatica, Talend, Alation, Collibra, Java, Python
AI focus
Use artificial intelligence tools where appropriate to automate work, reduce manual effort, and improve process efficiency.
Model-written summary · the original posting is authoritative