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About the Role
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.
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.
Requirements
- 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.
Skills
- SQL
- Python
- PySpark
- Databricks
- Delta Lake
- Cloud infrastructure
- Deployment automation
- AI coding assistants
- AI capabilities on enterprise data
- AI application backends
- Model integrations
- LLM-based workflows
- FinOps
- Financial data
- Enterprise-system integrations
- Observability
- Recoverability
- Security
- Maintainability
- Data modeling
- Orchestration
Work Type
- Full-time
Salary/Compensations
- $97,000 - $140,000 a year
Benefits
- Bonus
- Benefits
- Equity
- Temporary benefits package (applicable after 60 days of employment)
About the Company
- Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems.
- Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies.
- With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide.
- For more information, visit www.shield.ai.
- Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Equal Opportunity
- Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer.
- We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.
- If you have a disability or special need that requires accommodation, please let us know.