1 month ago
Remote, United StatesSenior
Base Salary
$165k - $200k/yr
Responsibilities
- Design and build storage that preserves source disagreement and historical records.
- Build result and evidence stores linking saved results to originating records while retaining prior results and human feedback separately.
- Implement provenance and lineage across platform entities and relationships according to the evidence-record contract.
- Store versioned rules and configurations, including the exact rule versions and ordered context supplied to model-assisted steps.
- Ensure writes are traceable to their origins and decisions are reproducible.
- Carry match confidence and other uncertainty through the platform without collapsing it into a single value.
- Support point-in-time queries about entities, beliefs, dates, and supporting evidence.
- Define storage-layer inputs and downstream outputs with entity-resolution and machine-learning teammates.
Requirements
- 6+ years of experience in data engineering or data platform engineering.
- Production experience with versioned, temporal, or historized data models.
- Experience designing storage where history, provenance, and source disagreement are first-class concerns.
- Experience working with probabilistic upstream outputs rather than clean shared keys.
- Strong Python and SQL skills.
- Production experience with PostgreSQL or a comparable database system.
- US citizenship is required.
- Active US Secret clearance is required.
- Preferred qualifications include entity-resolution or record-linkage experience, bi-temporal, event-sourced, graph, or temporal data modeling, regulated-industry experience, and an active Top Secret clearance.
Benefits
- Fully remote, results-based work environment with occasional travel to headquarters, customer sites, and partner facilities as needed.
- Competitive salary, bonus, and equity package.
- 100% employer-paid medical, dental, and vision insurance for the employee and family.
- Unlimited PTO with manager approval.
- Flexible work environment where employees manage their workday.
- 14 weeks of fully paid parental leave.
Tech Stack
Categories
Data Engineering
About DEFCON AI
DEFCON AI builds AI-driven simulation and decision-support software for logistics, mobility, and supply chain operations. Its platform uses mathematical optimization, machine learning, and data science to help organizations plan, assess risk, and keep missions and shipments moving during disruptions; current work includes delivering capabilities for the U.S. federal government. Founded in 2022 and headquartered in McLean, Virginia, the company is privately held and raised a seed round in 2024.