Finance Data Engineer — Databricks & AI Pipelines

Digitailor; San Diego (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Shield AI is seeking a Data Engineer to build a reliable, governed data foundation for Finance’s planning and decision support. You will work on our Databricks platform, owning reusable integrations and production data services that support analytics and AI-enabled applications.

Join a team focused on delivering scalable pipelines, semantic-layer infrastructure, and end-to-end observability while applying FinOps to optimize spend.

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.
• Design for observability, recoverability, security, and maintainability.
• Proficiency with AI coding assistants and independent validation of generated work.
• Experience enabling AI capabilities on enterprise data, ideally in Databricks; Snowflake Cortex or similar is welcome.

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 services and integrations behind Databricks Genie and AI-enabled Finance workflows.
• Use AI coding assistants to accelerate development while ensuring 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

Databricks

Cloud platforms

Data modeling

Observability

Security

AI coding assistants

Cost optimization

Cross-functional collaboration

Tools

Databricks

Snowflake Cortex

Job description

Shield AI is seeking a Data Engineer to build a reliable, governed data foundation for Finance’s planning and decision support. You will work on our Databricks platform, owning reusable integrations and production data services that support analytics and AI-enabled applications.

Join a team focused on delivering scalable pipelines, semantic-layer infrastructure, and end-to-end observability while applying FinOps to optimize spend.