Shield AI
Data Engineer, Finance (R6329)
$97K–$140K
San Diego, California · On-site · Full-time · Posted Oct 18, 2026
- Experience
- Minimum of 2 years of related experience.
- Education
- Bachelor’s degree in computer science or a related technical or quantitative field.
About the job
Builds and operates governed Finance data pipelines, semantic-layer infrastructure, and production services that support analytics, planning, and AI-enabled workflows.
What you'll do
- Build and operate scalable pipelines and integrations for Finance products; develop governed semantic-layer infrastructure.
- Establish observability, data-quality controls, and resilient operations; support Databricks Genie and other AI-enabled workflows.
- Use AI coding assistants, optimize platform costs, and partner with analytics and enterprise teams on architecture and ownership.
What they ask for
- Bachelor’s degree in computer science or a related technical or quantitative field.
- At least 2 years of related experience and hands-on production data engineering experience with SQL and Python or PySpark.
- Experience with cloud data platforms, orchestration, data modeling, governed serving patterns, and production system design.
- Proficiency with AI coding assistants and experience enabling AI capabilities on enterprise data.
Nice to have
- Experience with Databricks, Delta Lake, cloud infrastructure, and deployment automation.
- Experience with AI application backends, FinOps, financial data, or enterprise-system integrations.
Pay
USD 97,000–140,000 per-year-salary; base salary
Tools
Databricks, SQL, Python, PySpark, Snowflake Cortex, Delta Lake
AI focus
Enables AI capabilities on enterprise Finance data, including Databricks Genie and other AI-enabled workflows; uses AI coding assistants and validates generated work.
Model-written summary · the original posting is authoritative