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SHIELD AI

Data Engineer, Finance

SHIELD AI
San Diego, CA $97k - $140k/yr Full time Posted 1h ago
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Job Description

Shield AI is seeking a Data Engineer, Finance in San Diego, CA (onsite) to build a reliable, governed data foundation that supports Finance planning, decision support, analytics, and AI-enabled Finance workflows. You will help create reusable Databricks integrations, strengthen semantic-layer infrastructure, and operate production-grade data services that keep teams moving with confidence.

This role blends production data engineering with platform-minded optimization. You will design for observability and resilient operations, implement data-quality controls, and work on the services and integrations behind Databricks Genie and other AI-enabled Finance workflows. Shield AI also supports faster delivery using AI coding assistants, with a strong expectation to validate correctness, security, and performance.

What you’ll do

  • 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.
  • Implement end-to-end pipeline observability, data-quality controls, and resilient operations.
  • Engineer services and integrations that support Databricks Genie and other AI-enabled Finance workflows.
  • Use AI coding assistants to accelerate development, while independently 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.

What you bring

  • 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 systems with 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 experience with Snowflake Cortex or comparable platforms is welcome.
  • Strong cross-functional collaboration and clear production ownership.

Technologies you’ll work with

  • Databricks
  • SQL
  • Python
  • PySpark
  • Snowflake Cortex
  • Databricks Genie
  • Delta Lake

Compensation and benefits

$97,000 - $140,000 USD per year plus bonus, benefits, and equity.

  • Pay within the listed range plus bonus, benefits, and equity.
  • Pay within the listed range above plus a temporary benefits package (applicable after 60 days of employment).

Preferred qualifications

  • Experience with Databricks, Delta Lake, cloud infrastructure, and deployment automation.
  • Experience developing AI application backends, model integrations, or LLM-based workflows.
  • Experience with FinOps, financial data, or enterprise-system integrations.

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