Real job — pulled straight from Shield AI’s careers page · Verified October 18, 2026 · No reposts.
Job description
Shield AI is hiring a Data Engineer, Finance — a full-time, based in San Diego, CA role. Apply directly on Shield AI's careers page below.
Data Engineer, Finance (R6329)
Team: FP&A
Location: San Diego, California
Commitment: Full Time Employee
Workplace Type: onsite
Job Description:
Shield AI is seeking a Data Engineer to build the reliable, governed data foundation for Finance's next generation of planning and decision support. Working on our Databricks platform, you will own reusable integrations, semantic-layer infrastructure, and production data services that support analytics and AI-enabled applications. You will combine engineering rigor with AI-assisted development to increase delivery speed, reliability, and cost efficiency.
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.
- 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.
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.
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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Frequently asked questions
What skills are required for Data Engineer, Finance at Shield AI?
The required skills for Data Engineer, Finance at Shield AI include: SQL, Python, Spark, Databricks, Snowflake.
What is the seniority level for Data Engineer, Finance at Shield AI?
Data Engineer, Finance at Shield AI is a Mid Level level position.
How do I apply for Data Engineer, Finance at Shield AI?
You can view the full description and apply for Data Engineer, Finance at Shield AI on EchoJobs: https://echojobs.io/job/shield-ai-data-engineer-finance-r6329-z2mi2.