United States

Senior Staff Data Engineer, Databricks (R6508)

Salary: unknownOn-siteStaffData and machine learning

SQLDatabricksCI/CDSparkAccess control

Original posting ↗Apply ↗Company job board ↗

Senior Staff Data Engineer, Databricks (R6508) is an open role at Shield AI, a company in aerospace and defense. The role is on-site in United States. We classify it under data and machine learning. Technologies named in the posting: Databricks, CI/CD, Spark and SQL. It asks for 12+ years of experience. Perks named in the posting: equity. Shield AI has 159 open positions on this site, 63 of them in IT and engineering.

Posted today · Last checked 2026-11-04

About Shield AI

Aerospace and defense Non-tech company with an IT team 159 open positions, 40% in IT and engineering. Most open roles: Non-software engineering and technicians (49), Software engineering (general) (37), General management and executives (12).

All open jobs at Shield AI →

Similar jobs

Data Scientist, Analytics EnablementOpenAI · San FranciscoUSD 347K–385K / year Senior Analytics EngineerFirestoke · United States (Remote)USD 10.4K–13.9K / month Senior Machine Learning Engineer, RelevanceAirbnb · United StatesUSD 200K–235K / year AI research scientistWRITER · San Francisco, CA | Seattle, WA | New York City, NYUSD 199K–325K / year AI engineer WRITER · San Francisco, CA | New York City, NYUSD 198K–259K / year Principal Machine Learning Engineer - MatchmakingRoblox · San Mateo, CA, United StatesUSD 295.2K–345.0K / year Senior Data Engineer Machinify · Remote - USRemote AI Engineer (Superhuman Mail) - USSuperhuman Platform Inc · Remote - United States | Hub - San Francisco | Hub - New York | Hub - SeattleRemote

1,228 open data and machine learning jobs in the United States All open jobs at Shield AI →

Workplace	On-site
Seniority	Staff
Role	Data and machine learning
Countries	United States
Languages	SQL
Employment type	Full Time Employee
Key facts	Stack: SQL, Databricks, CI/CD, Spark · Experience: 12+ years · Equity

The full description is on the original posting. Labels are set automatically and can be wrong. About the data