Analytics Engineer
US$120,000 – US$190,000 / yr base salary
Posted 10 Oct 2026
Advertised as “Senior Analytics Engineer - Finance (R6185)”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$120,000 – US$190,000 / yr |
|---|
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:
Shield AI is seeking a Senior Analytics Engineer to lead the design and delivery of trusted data products for Corporate FP&A, Accounting, Program Finance, GTM, and Strategic Finance. You will independently shape analytical solutions, establish shared standards, and turn business priorities into AI-enabled decision support on our Databricks platform. This senior individual contributor role combines hands-on engineering with cross-functional influence and mentorship to expand Finance's impact.
What you'll do:
- Shape the analytics roadmap with Finance and GTM leaders, prioritizing high-impact products and resolving competing requirements.
- Build governed datasets and semantic models that support reporting, planning, scenario analysis, and strategic decisions.
- Set modeling and metric standards across domains, exercising judgment on architecture, quality, and maintainability.
- Develop conversational analytics and AI-enabled workflows, including Databricks Genie, grounded in trusted business context.
- Use AI coding assistants to accelerate delivery and explore new capabilities while maintaining rigorous validation and quality.
- Own business-facing reconciliation and acceptance, partnering with data engineering on reliable delivery.
- Mentor engineers and Finance partners, strengthening technical practices and self-service capabilities.
Required qualifications:
- Substantial experience in analytics engineering, BI engineering, or financial data modeling, with advanced SQL and a record of delivering production data products.
- Demonstrated ability to lead ambiguous, cross-functional work from problem definition through adoption.
- Proficiency with AI coding assistants and sound judgment when reviewing generated work.