Senior Data Engineer, GMS Data Team
Senior Data Engineer, GMS Data Team is an open role at Planet, a company in aerospace and defense. The role is hybrid, based in Arlington, United States. Our labels mark it as a senior-level role in data and machine learning. Technologies named in the posting: CI/CD, GitLab CI, Docker, Kubernetes, GCP and dbt. It asks for 6+ years of experience. Perks named in the posting: home office budget. A university degree is required. Planet has 33 open positions on this site, 13 of them in IT and engineering.
Posted 4 days ago · Last checked 2026-10-21
About Planet
Aerospace and defense Non-tech company with an IT team 33 open positions, 39% in IT and engineering. Most open roles: Software engineering (general) (12), DevOps / SRE / platform / cloud (6), Non-software engineering and technicians (6).
Similar jobs
1,050 open data and machine learning jobs in the United States
- 2027 Finance Data Analyst Intern — Anduril Industries, Costa Mesa, California, United States
- Mid-Level AI & Machine Learning Engineer — Fieldwire, San Francisco, CA (Hybrid)
- Senior Data Analyst – Paid Media — AEG Worldwide, Los Angeles, CA
- Product Data Scientist - Youth, Families and Learning — OpenAI, San Francisco
- Senior Machine Learning Engineer, Ads ML Efficiency — Reddit, Remote - United States
- Manager, Data Analytics and Engineering — PrizePicks, Atlanta, GA preferred, Remote
- Senior Data Engineer — Qventus, Remote, United States
- Applied AI Engineer — Unify, San Francisco Office | New York Office
| Workplace | Hybrid |
| Seniority | Senior |
| Role | Data and machine learning |
| Countries | United States |
| Languages | PythonSQL |
| Key facts | Stack: Python, SQL, CI/CD, GitLab CI, Docker, Kubernetes, GCP, dbt, Terraform, LLM · Experience: 6+ years · Degree required · Home office budget |
The full description is on the original posting. Labels are set automatically and can be wrong. About the data