{"id":3289625,"url":"https://alion.io/job/mercor-database-engineer-fully-remote-up-to-2200task","title":"Database Engineer - Fully Remote | Up to $2200/task","company":{"id":4960,"name":"Mercor","domain":"mercor.com","url":"https://alion.io/company/mercor","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":85,"open_postings":13,"ghost_share":0,"stale_share":0.385,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false}],"status":"live","first_seen_at":"2026-10-10T05:18:19Z","employer_posted_date":null,"last_verified_at":"2026-10-10T05:18:19Z","board_verified":false,"closed_at":null,"days_open":24,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":24},"description":"About the jobMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.\nPosition: Database Systems Evaluation Expert\nType:Contract\nCompensation:$2200 per task\nLocation:Remote\nRole Responsibilities\nDesign challenging, self-contained database engineering tasks.\n\nBuild checks for correctness, failure handling, concurrency, retries, and regressions.\n\nEvaluate performance measures such as latency, throughput, and memory use.\n\nWrite clear grading criteria for engineering judgment.\n\nCollaborate with technical reviewers to refine and validate tasks.\n\nQualifications\nMust-Have\n\n5+ years of hands-on database-engine internals experience or a database-systems PhD.\n\nDeep experience with storage engines, query execution, optimization, transactions, replication, or related low-latency systems.\n\nStrong implementation skills and clear explanations of correctness and performance tradeoffs.\n\nApplication Process (Takes 20–30 mins to complete)\nComplete a self-paced technical assessment with recorded verbal responses and a coding exercise.\n\nUse a laptop or desktop with a camera, microphone, and entire-screen sharing.\n\nHave your own editor and terminal ready, along with Python 3.8+ and a compiler for C, C++, Rust, Go, or Java.\n\nThe assessment includes a starter kit and public tests.\n\nComplete the assessment independently, without outside AI assistance.\n\nResources & Support\nFor details about the interview process and platform information, please check: \n\nFor any help or support, reach out to: \n\nPS: Our team reviews applications daily. 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