Drimva

Shield AI

Senior Analytics Engineer - Finance (R6185)

San Diego, California · Senior · Full-time · Posted Oct 24, 2026

Experience
Minimum 5 years of related experience with a bachelor’s degree, or minimum 3 years with a master’s degree.
Education
Bachelor’s degree in computer science or a related technical or quantitative field, or master’s degree.

About the job

Leads the design and delivery of trusted finance data products and AI-enabled decision support on Databricks, partnering across Finance, GTM, and data engineering.

What you'll do

  • Shape the analytics roadmap with Finance and GTM leaders, and build governed datasets and semantic models for reporting, planning, and strategic decisions.
  • Establish modeling and metric standards; own business-facing reconciliation and acceptance of data products.
  • Develop conversational analytics and AI-enabled workflows, use AI coding assistants, and mentor engineers and Finance partners.

What they ask for

  • Bachelor’s degree in computer science or a related technical or quantitative field and minimum 5 years of related experience, or a master’s degree and minimum 3 years of related experience.
  • Substantial analytics engineering, BI engineering, or financial data modeling experience, including advanced SQL and production data products.
  • Demonstrated ability to lead ambiguous cross-functional work from problem definition through adoption.
  • Proficiency with AI coding assistants and practical experience with AI-assisted analytics; sound judgment reviewing generated work.

Nice to have

  • Experience with Databricks, Python, semantic layers, or AI application development; Databricks Genie is ideal, and Snowflake Cortex or comparable experience is welcome.
  • Experience supporting FP&A, GTM, Strategic Finance, Accounting, or Program Finance; familiarity with enterprise planning, financial controls, or high-growth business environments.

Tools

Databricks, Databricks Genie, Snowflake Cortex, SQL, Python

AI focus

Develops conversational analytics and AI-enabled workflows grounded in trusted business context, and uses AI coding assistants to accelerate delivery with rigorous validation.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)