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# Analytics Engineer

- **Company:** Shield AI
- **Location:** United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, ARM Architecture, Information Engineering, Decision Support Systems, Python (Programming Language), Operational Databases, BIG-IP Global Traffic Manager (GTM), Sql Optimization, Snowflake, AI Coding Agents, Data Layers, Data Analytics, Databricks
- **Published:** October 9, 2026
- **Apply:** https://startup.jobs/senior-analytics-engineer-finance-r6185-shield-ai-10387273

## About the Role

* 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.
 * Practical experience with AI-assisted analytics, ideally Databricks Genie; adjacent Snowflake Cortex or comparable experience is welcome.
 * Sound architectural judgment, disciplined development practices, and experience mentoring others and influencing senior stakeholders., * Experience with Databricks, Python, semantic layers, or AI application development.
 * Experience supporting FP&A, GTM, Strategic Finance, Accounting, or Program Finance.
 * Familiarity with enterprise planning, financial controls, or high-growth business environments.

## 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., * 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.