At Defense Unicorns, we make software a strategic deterrent with solutions that promote data independence, portability, and efficiency. Backed by Sapphire.
About the role
This role will focus on making enterprise data usable, discoverable, governed, and accessible to AI models, agents, and mission applications. The engineer will work across data ingestion, transformation, storage, metadata, APIs, search, vector and graph technologies, and the interfaces between the data layer and AI workloads. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Active TS/SCI clearance
- 7+ years of experience in data engineering, data platform engineering, or a closely related field
- Strong proficiency with SQL and Python for data processing, automation, and integration
- Hands-on experience building and operating production data pipelines and ETL/ELT workflows
- Experience with relational databases and modern data storage patterns for structured and unstructured data
- Experience integrating data through REST APIs, message/event systems, or other distributed integration patterns
More about this role
Defense Unicorns is seeking a senior Data Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem.
This role will focus on making enterprise data usable, discoverable, governed, and accessible to AI models, agents, and mission applications. The engineer will work across data ingestion, transformation, storage, metadata, APIs, search, vector and graph technologies, and the interfaces between the data layer and AI workloads.
The ideal candidate is a hands-on data engineer who can operate across the full data lifecycle and understands that data availability and integration are often the primary blockers to delivering AI capabilities. They should be comfortable entering an evolving architecture, learning unfamiliar systems quickly, working directly with commercial technology partners, and solving difficult problems involving data quality, lineage, access, performance, and security.
This is not a traditional analytics or business intelligence role. The focus is on building the data foundations and repeatable patterns that allow AI and agentic capabilities to access trusted data and move from prototype to production in...
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