DEFCON AI - Senior Data Platform Engineer

Remote - USA$165k - $165k+ Equity3w ago

Remote Senior NA Data Analytics Oil & Gas Platform Engineer Senior Data Engineer SQL Python PostgreSQL Temporal Later

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 • Experience building the storage layer downstream of an entity-resolution or record-linkage system • Bi-temporal, event-sourced, graph, or temporal data modeling in production • Federal, government, or regulated-industry experience where a historical decision had to be reproducible on demand • Active Top Secret clearance • What Success Looks Like • A durable view that never silently overwrites a disagreement between sources • “What did we believe on this date, and on what evidence” is answerable a year later • The storage layer holds up as probabilistic match output flows in, rather than assuming a clean join

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: saved per-person results linked to the originating record, prior results and human feedback retained separately, and configuration versions on every result • Implement provenance and lineage across every node and edge against the platform’s evidence-record contract • Store the versioned rule library and configuration, and record on every result the exact rule versions and ordered context supplied to any model-assisted step • Ensure every write is traceable to its origin and every decision is reproducible • Carry match confidence and other uncertainty forward through the platform rather than collapsing it into a single value • Support point-in-time questions: what did we believe about this entity on this date, and on what evidence • Define, with entity resolution and ML teammates, what the storage layer needs to receive and what it must serve downstream

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 • Salary Range: $165,000—$200,000. This represents the typical salary range for this position based on experience, skills, and other factors.