{"id":98659,"url":"https://alion.io/job/linear-analytics-engineer","title":"Analytics Engineer","company":{"id":37888,"name":"Linear","domain":"linear.app","url":"https://alion.io/company/linear","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":73,"open_postings":24,"ghost_share":0.375,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":60,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US","CA","MX","AG","AW","BS","BB","BZ","BM","VG","BQ","KY","CR","CW","DM","DO","SV","GL","GD","GP","GT","HT","HN","JM","MQ","MS","NI","PA","PR","KN","LC","PM","SX","TT","TC","VI"],"hiring_countries_total":36,"salary":null,"salary_estimate":{"min_usd":95000,"max_usd":219000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2897},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"Metabase","optional":false},{"name":"OpenAI","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-11T00:36:47Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-17T12:40:58Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":67},"description":"At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.\nFounded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.\nThe Data team works across Linear, supporting Product, Engineering, and GTM. We own our data pipelines, warehouse, dashboards, analysis, and integrations with third-party tools. As a small team, we focus on building systems that make data accessible and useful across Linear. We’re looking for someone who wants to help shape how we architect, build, and use data as we grow.\nLocation & work mode\nLinear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.\nWhat you’ll do\nWork across Product and GTM (Marketing, Sales, Customer Success, and Finance) to turn ambiguous questions and operational needs into useful metrics, models, analyses, and workflows\n\nBuild and maintain dbt models and pipelines that create trusted views of our product, customers, and business\n\nDesign clear, maintainable data models and improve the testing, documentation, performance, and reliability of our data stack\n\nBuild dashboards and self-service reporting in Metabase and Hex, and dig deeper when the answer requires more than a chart\n\nOperationalize data through reverse ETL and partner with GTM Engineering on the scoring, segmentation, automations, and internal tools that help our teams scale\n\nBalance fast, pragmatic answers with durable solutions, recognizing when a one-off request should become a reusable model or workflow\n\nFind ways to leverage emerging tools, LLMs, and coding agents to accelerate development, analysis, testing, and documentation while maintaining a high bar for correctness\n\nWhat we're looking for\n8+ years of experience in analytics engineering, data analytics, or data engineering, ideally at a fast-moving software company\n\nExceptional SQL and strong hands-on experience with dbt and a modern cloud data warehouse\n\nTrack record of owning data projects end-to-end, from shaping an ambiguous problem to shipping something people rely on\n\nStrong data modeling judgment: you think clearly about grain, reusable components, interfaces, dependencies, and maintainability without relying on a single prescribed methodology\n\nAnalytical judgment: you know when to answer quickly, when to investigate deeply, and how to turn complex findings into a clear recommendation\n\nComfortable moving between technical implementation and business context, from debugging a data model to understanding product adoption or sales efficiency\n\nHigh ownership mentality: self-directed, pragmatic, and willing to challenge a request or approach when something does not make sense\n\nStrong communication skills and experience partnering directly with both technical and non-technical teams\n\nComfortable using LLMs and coding agents as part of your day-to-day development workflow\n\nOur tech\nThis stack reflects the systems you’ll work in. You’re not expected to have experience with everything listed, but you should be comfortable learning quickly and working across the full lifecycle of data.\nData Warehouse: Snowflake, dbt Cloud\n\nDashboards / Analysis: Metabase, Hex\n\nETL / rETL: Hevo, Fivetran\n\nGTM tools: Hubspot, Pocus, Clay\n\nWhat we offer\nWe're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:\nCompetitive salary and equity\n\nEmployee-friendly equity terms including early exercise in the US and extended exercise windows\n\nDaily meal and coffee stipend on every workday\n\nPaid co-working space or desk\n\nHealth coverage (based on country requirements)\n\n5 weeks paid vacation, plus local statutory holidays\n\n4 months paid parental leave\n\nPaid month off after 4 years & every 2 years thereafter\n\nRegular team events and off-sites\n\nRemote-first with no required commute\n\nLearn how we think and work\nA story about our mission: Read Me\n\nOur hiring process: How we hire at Linear\n\nHow we work: Designing remote work at Linear\n\nHow Linear uses Linear: How our Customer Experience team works in Linear\n\nA video series: Conversations on Quality\n\nBuilding our teams: Why and how we do work trials at Linear\n\nOur recent tender offer: Sharing Linear’s growth with the people building it\n\nLinear is an equal opportunity employer. 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