Data Engineer Finance
Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.
Funding history
Investors
About Shield AI
Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and operate data pipelines and integrations for Finance products. You will develop governed semantic-layer infrastructure, establish data-quality and observability controls, engineer AI-enabled workflow integrations, optimize platform costs, and partner on data architecture and contracts.
Requirements
- 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 validation of generated work.
- Experience enabling AI capabilities on enterprise data.
- Cross-functional collaboration and production ownership.
Responsibilities
- Build and operate scalable pipelines and integrations connecting enterprise data to Finance products.
- Develop semantic-layer infrastructure and governed data access.
- Establish pipeline observability, data-quality controls, and resilient operations.
- Engineer services and integrations for Databricks Genie and AI-enabled Finance workflows.
- Use AI coding assistants while validating correctness, security, and performance.
- Apply FinOps practices to manage platform spend and optimize cost.
- Partner on architecture, data contracts, and sustainable ownership.
Benefits
- Bonus
- Benefits
- Equity
