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Senior Entity Resolution Engineer

Backend Full-time Permanent United States

Job details

$160,000—$195,000 Salary
United States Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Build the production capability that identifies when records from different sources refer to the same real-world entity. You’ll implement an internally designed matching approach for a data platform supporting government missions, with an emphasis on explainable decisions, reliable provenance, and a pipeline other engineers can extend.

Responsibilities - Implement the matching lifecycle, including blocking, candidate generation, pairwise scoring, clustering, and threshold recommendations. - Use a shared matching engine for record linkage, deduplication, and known-entity checks. - Track the origins of graph nodes, edges, and assertions so matching decisions can be audited. - Evaluate candidate retrieval and final matching separately against a fixed reference dataset, providing evidence for review. - Make false-merge and false-split tradeoffs explicit and explainable to nontechnical stakeholders. - Document the matching logic as a practical implementation reference for the engineering team.

Requirements - At least five years of experience, including shipping record-matching or entity-resolution systems to production. - Strong Python and SQL skills, with experience working on large, messy real-world datasets. - Ability to explain matching tradeoffs and defend a decision to a stakeholder who does not know the implementation details. - U.S. citizenship and an active U.S. Secret clearance required at the start of employment.

Nice to have - Experience with probabilistic matching of inconsistent identity data, including names, dates, addresses, and identifiers. - Familiarity with record-linkage methods or tools such as Fellegi-Sunter models, Splink, Dedupe, or Zingg. - Background in record linkage, master data management, identity management, or production graph modeling and algorithms. - Experience with PostgreSQL and pgvector or comparable technology; an active Top Secret clearance is also preferred.

Benefits and work setup The role is fully remote, with occasional travel to headquarters, customer sites, or partner facilities. The listed salary range is $160,000–$195,000, with bonus and equity. Benefits include employer-paid medical, dental, and vision coverage for employees and families, manager-approved unlimited paid time off, flexible scheduling, and 14 weeks of fully paid parental leave.

Skills detected in the listing

PythonSQLPostgreSQL
Detected Oct 29, 2026
Last verified Nov 12, 2026

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