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Data & AnalyticsOn-site

Staff Engineer, Data Analysis (R5290)

Shield AI · On-site

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Last seen by MeritLog September 9, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from Shield AI's Lever job board and last checked it on September 9, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
$150,000 - $220,000
Location
Dallas, Texas; San Diego, California; Boston, MA

Hiring context

How this role compares at Shield AI

Shield AI has 480 live roles in MeritLog’s catalog across 12 job families, and 24 of them are in data & analytics. 376 of those listings publish a pay range, a disclosure rate of 78%.

This role's posted range of $150,000 - $220,000 sits above 43% of the 355 other Shield AI roles quoted over the same currency and period.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.  Job Description: We’re looking for a Staff Engineer to lead V-BAT’s fleet data analysis efforts. The V-BAT system produces rich data from real-world flight tests, fielded aircraft, production activity, and simulation runs.   You will own the analysis pipelines, tooling, standards, and metrics that help the team understand fleet-wide system performance derived from information from software and hardware systems. You will facilitate deep studies into flight-critical sensor performance, navigation, communications, and other key aircraft behaviors. You will work closely with DevOps, Flight Software, Flight Test, Production, Quality, and Operations teams to turn complex aircraft data into actionable engineering insight.

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