Data Engineer, Finance (R6329)

Data Engineer, Finance (R6329)

Competitive

San Diego, CAIT & TechnologyPosted 10d ago

You'll complete your application on the employer's website.

Role overview

Job type Full-time

Salary

Competitive

Location

San Diego, CA

Sector IT & Technology

Role Data Engineer, Finance (R6329)

Posted 10 days ago

Job description

Shield AI is seeking a Data Engineer to build a reliable, governed data foundation for Finance planning and decision support. The role owns reusable integrations, semantic-layer infrastructure, and production data services on Databricks for analytics and AI-enabled applications.

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

• Preferred

• 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

• Delta Lake

• Cloud Infrastructure

• Deployment Automation

• AI Backend Development

• Model Integration

• LLM Workflows

• FinOps

• Financial Data

• Enterprise-System Integration

Benefits

• Full-time regular employee offer package: Bonus
• Full-time regular employee offer package: Benefits
• Full-time regular employee offer package: Equity
• Temporary employee offer package: temporary benefits package (applicable after 60 days of employment)
• Company
• Defense-tech building AI pilots and next-generation aircraft
• San Diego, California, USA
• Founded in 2015
• 1001-5000 employees

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

• 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

• Required skills

• Represents the skills you have, click on the tags, SQL, PySpark, Databricks, Delta Lake, Snowflake Cortex, Data Modeling, AI Application Development, LLM Workflows, FinOps, Financial Data

Experience

• Mid level

• Interested in this role?

• Apply directly on the employer's website — it only takes a few minutes.