{"id":3580140,"url":"https://alion.io/job/raydar-senior-data-engineer-ii","title":"Senior Data Engineer II","company":{"id":4478753,"name":"Raydar","domain":"raydar.com","url":"https://alion.io/company/raydar-com","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":145000,"max":207000,"currency":"USD","period":"year","gross":null,"usd_annual":207000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Datadog","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-08-25T00:00:00Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-11-06T04:25:56Z","board_verified":true,"closed_at":null,"days_open":73,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":73},"description":"Our client is an established consumer marketplace using machine learning and generative AI to help millions of renters find homes they love. Founded in 2009, the platform includes more than six million rental units and has raised approximately $169M. The company is entering an AI-first chapter while modernizing the revenue, Salesforce, and data foundations that support its marketplace.\nWe are hiring a Senior Data Engineer II to own end-to-end data-pipeline architecture across a lean, high-impact platform team. This is an IC4 role for an engineer who remains hands-on with code and production operations while independently making architectural decisions, evaluating platform investments, and guiding other engineers. You will shape how analytics engineering, data science, and product engineering teams build on the platform.\nWhat you'll do\nOwn architecture across ingestion, transformation, modeling, and serving layers\nDesign platform improvements for warehouse cost, compute efficiency, access control, reliability, and observability\nLead large cross-functional projects and multiple concurrent technical initiatives from design through delivery\nBuild monitoring, testing, and alerting that closes production visibility gaps before failures occur\nImprove orchestration, CI/CD, data access, and developer experience across the platform\nMentor data and analytics engineers and serve as a technical peer on architectural and modeling decisions\nBuild practical AI-powered tooling and automation that creates leverage for the broader team\nRequirements\n6 to 9 years of experience as a data engineer or data platform engineer\nStrong, hands-on SQL and Python skills that hold up in a live technical environment\nProduction experience with containerized data infrastructure, including deployment and operational troubleshooting\nProduction experience with a pipeline orchestrator such as Airflow and a cloud data warehouse such as BigQuery\nA track record of owning pipeline architecture end to end and explaining tradeoffs to technical and non-technical stakeholders\nExperience making sound decisions across freshness, cost, scalability, reliability, and simplicity\nUS work authorization without current or future visa sponsorship\nBonus points\nExperience with Kubernetes, Datadog, CI/CD, or warehouse-cost optimization\nExperience at both an established mid-sized technology company and a startup or smaller product organization\nFamiliarity with Salesforce data integrations or major data-platform migrations\nExperience coaching other engineers on safe, validated uses of AI in data workflows\nBenefits\nBase salary of $145K-$207K\nCompetitive equity\nStrong emphasis on sustainable pace and work-life balance\nHigh ownership on a small data-platform team with meaningful greenfield work\nFully remote within the United States\nOpportunity to attend company on-sites up to four times per year\nFull-time senior individual-contributor position","description_format":"text","description_chars":2931,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-01T01:38:31Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long 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