Data Engineer, Finance (R6329)

The role

You will build and run data pipelines, integrations and governed data services for Finance on the Databricks platform. The role supports analytics, planning and AI-enabled Finance applications.

What you will 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.
• Establish 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 speed up 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.

Required qualifications

• Bachelor's degree in computer science or a related technical or quantitative field and a minimum of 2 years of related experience.
• 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.

Nice to have

• 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.

Benefits

• Equity (full-time regular employees)
• Bonus (full-time regular employees)
• Benefits (full-time regular employees)
• Temporary benefits package, applicable after 60 days of employment (temporary employees)

Before you apply

• All offers are contingent on a cleared background and possible reference check.
• Military fellows and part-time employees are not eligible for benefits.
• Salary is influenced by skill set, level of experience, licenses and certifications, and specific work location.

About the company

Shield AI is a venture-backed defense-tech company that builds intelligent systems to protect service members and civilians. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies.