Databricks Data Engineer for AI-Powered Finance

Shield; San Diego (CA); On-site; USD 97,000 - 140,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Full-time employee package

Job summary

Shield AI is seeking a Data Engineer in San Diego, CA to build a reliable, governed data foundation for Finance analytics and AI-enabled applications. You will work on the Databricks platform, owning reusable integrations, semantic-layer infrastructure, and production data services for analytics and planning.

The role emphasizes observability, data quality, security, and cost efficiency, with collaboration across analytics engineers and enterprise teams.

Qualifications

• 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 independent validation of generated work.
• Practical experience enabling AI capabilities on enterprise data, ideally in Databricks; adjacent Snowflake Cortex or comparable experience is welcome.
• Strong cross-functional collaboration and production ownership.

Responsibilities

• Build and operate scalable pipelines and integrations connecting enterprise data to Finance products.
• Develop semantic-layer infrastructure and governed data access for analytics, planning, and AI applications.
• Establish end-to-end pipeline observability, data-quality controls, and resilient operations.
• Engineer the services and integrations behind Databricks Genie and other AI-enabled Finance workflows.
• Use AI coding assistants to accelerate development while validating correctness, security, and performance.
• Apply FinOps practices to manage platform spend and optimize cost without compromising service quality.
• Partner with analytics engineers and enterprise teams on architecture, data contracts, and sustainable ownership.

Skills

SQL

Python/PySpark

Observability design

Cross-functional collaboration

Tools

Databricks

Delta Lake

Snowflake Cortex

Job description

Shield AI is seeking a Data Engineer in San Diego, CA to build a reliable, governed data foundation for Finance analytics and AI-enabled applications. You will work on the Databricks platform, owning reusable integrations, semantic-layer infrastructure, and production data services for analytics and planning.

The role emphasizes observability, data quality, security, and cost efficiency, with collaboration across analytics engineers and enterprise teams.