Senior Data Platform Engineer
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Job Description
Senior Data Platform Engineer building DEFCON AI’s durable, explainable data platform for resilient optimization. Preserving provenance, uncertainty, source disagreements, and point-in-time entity histories.
Responsibilities:
- Design and build the storage layer that preserves source disagreement and history rather than resolving them away at write time
- Build the first release’s result and evidence store, retaining originating records, prior results, human feedback, and configuration versions
- Implement provenance and lineage across every node and edge against the platform’s evidence-record contract
- Store the versioned rule library and configuration, recording exact rule versions and ordered context supplied to model-assisted steps
- Ensure every write is traceable to its origin and every decision is reproducible
- Carry match confidence and other uncertainty forward through the platform
- Support point-in-time questions about what was believed about an entity and on what evidence
- Define storage-layer inputs and downstream outputs with entity resolution and ML teammates
Requirements:
- 6+ years in data engineering or data platform engineering, including production experience with versioned, temporal, or historized data models
- Experience designing storage where history, provenance, and source disagreement are first-class rather than resolved away
- Comfort building on probabilistic upstream output rather than a clean shared key
- Strong Python and SQL, with production experience on PostgreSQL or comparable
- US Citizenship Required
- Active US Secret clearance
Benefits:
- A fully remote, results-based environment
- Competitive salary, bonus, and equity package
- 100% employer paid, comprehensive health insurance including medical, dental, and vision for you and your family
- Unlimited PTO, with your manager’s approval
- Flexible work environment where you manage your work day
- 14 weeks of fully-paid parental leave
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