Shield AI
Data Engineer, Finance (R6329)
San Diego, California · Full-time · Posted Oct 21, 2026
- Experience
- Minimum 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 for analytics, planning, and AI-enabled workflows on Databricks.
What you'll do
- Build and operate scalable data pipelines and integrations for Finance products; develop governed semantic-layer infrastructure.
- Establish pipeline observability, data-quality controls, and resilient operations; engineer services for Databricks Genie and other AI-enabled workflows.
- Use AI coding assistants with independent validation, optimize platform costs using FinOps practices, and collaborate on architecture and data ownership.
What they ask for
- Bachelor’s degree in computer science or a related technical or quantitative field.
- Minimum 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, and governed serving patterns; ability to design for observability, recoverability, security, and maintainability.
- Proficiency with AI coding assistants and practical experience enabling AI capabilities on enterprise data; strong cross-functional collaboration and production ownership.
Nice to have
- Experience with Databricks, Delta Lake, cloud infrastructure, and deployment automation.
- Experience developing AI application backends, model integrations, or LLM-based workflows; FinOps, financial data, or enterprise-system integrations.
Tools
Databricks, SQL, Python, PySpark, Snowflake Cortex, Delta Lake
AI focus
Enables AI applications and Finance workflows on enterprise data, including Databricks Genie; uses AI coding assistants and independently validates generated work.
Model-written summary · the original posting is authoritative