Senior Data & Analytics Engineer, Domain Enablement (R5536)
Shield AI · Remote
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
- Remote
- Salary
- $120,000 - $180,000
- Location
- Remote
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 $120,000 - $180,000 sits above 23% of the 355 other Shield AI roles quoted over the same currency and period.
Shield AI concentrates this hiring in:
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: The Senior Data & Analytics Engineer is a hybrid builder role focused on enabling business domains onto the Databricks platform by developing governed Silver and Gold assets, reusable semantic patterns, and domain-ready analytical models. This role sits between pure data engineering and pure analytics engineering: it requires enough technical depth to work comfortably with transformations and lakehouse patterns, and enough business fluency to build trustworthy models that business stakeholders can use and extend. Initial focus for this role is expected to be G&A and GTM-oriented domains such as Accounting, Program Finance, RevOps, Marketing, HR, and adjacent business functions, while remaining flexible enough to support more complex future domains such as Product or Engineering as the team matures. This role is not a dashboard factory; it is responsible for durable, governed datasets and semantic assets that accelerate domain self-service while maintaining enterprise consistency.