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Shield AI
Data Engineer, Finance
San Diego, California · On-site · Full time · Mid level
$97k–$140k / year
About the role
Build and operate scalable data pipelines and integrations for Finance products. Develop infrastructure for analytics, planning, and AI applications in Finance.
What you’ll do
• Build scalable pipelines connecting enterprise data to Finance products. • Develop semantic-layer infrastructure and governed data access. • Establish pipeline observability and data-quality controls. • Engineer services behind Databricks Genie and AI Finance workflows. • Apply FinOps practices to manage platform spend and optimize cost.
What you’ll bring
• Production data engineering experience with SQL and Python or PySpark. • Experience with cloud data platforms and data modeling. • Design for observability, recoverability, security, and maintainability. • Proficiency with AI coding assistants and validation. • Experience enabling AI capabilities on enterprise data, ideally Databricks.
Life at Shield AI
Offers pay within range plus bonus, benefits, and equity for full-time employees. Committed to equal employment opportunity and accommodations.
About Shield AI
Shield AI is a defense-tech company developing intelligent systems to protect service members and civilians worldwide.