Analytics Engineer at Linear

Role overview

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.

Founded 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.

The 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.

Linear 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.

Responsibilities

• Design, build or advise on technical systems for analytics engineering and data systems.
• Collaborate with product, engineering and business stakeholders.
• Improve reliability, performance, testing, automation and documentation.
• Translate requirements into maintainable software, data or customer solutions.

Qualifications

• 8+ years of experience in analytics engineering, data analytics, or data engineering, ideally at a fast-moving software company
• Exceptional SQL and strong hands-on experience with dbt and a modern cloud data warehouse
• Track record of owning data projects end-to-end, from shaping an ambiguous problem to shipping something people rely on
• Strong data modeling judgment: you think clearly about grain, reusable components, interfaces, dependencies, and maintainability without relying on a single prescribed methodology
• Analytical judgment: you know when to answer quickly, when to investigate deeply, and how to turn complex findings into a clear recommendation
• Comfortable moving between technical implementation and business context, from debugging a data model to understanding product adoption or sales efficiency
• High ownership mentality: self-directed, pragmatic, and willing to challenge a request or approach when something does not make sense
• Comfortable using LLMs and coding agents as part of your day-to-day development workflow
• This 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.
• Data Warehouse: Snowflake, dbt Cloud
• Dashboards / Analysis: Metabase, Hex
• GTM tools: Hubspot, Pocus, Clay

Technology in this role

• SQL: 8+ years of experience in analytics engineering, data analytics, or data engineering, ideally at a fast-moving software company Exceptional SQL and strong hands-on experience with dbt and a modern cloud data warehouse Track record of owning data projects end-to-end, from shaping .
• Snowflake: Data Warehouse: Snowflake, dbt Cloud Dashboards / Analysis: Metabase, Hex GTM tools: Hubspot, Pocus, .
• dbt: 8+ years of experience in analytics engineering, data analytics, or data engineering, ideally at a fast-moving software company Exceptional SQL and strong hands-on experience with dbt and a modern cloud data warehouse Track record of owning data projects end-to-end, from shaping .
• CAN: You can work from anywhere within this .
• Workday: • Daily meal and coffee stipend on every .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Analytics Engineer position at Linear is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “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.” Read that.

Benefits

• We'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:
• Employee-friendly equity terms including early exercise in the US and extended exercise windows
• Daily meal and coffee stipend on every workday
• Health coverage (based on country requirements)
• 5 weeks paid vacation, plus local statutory holidays
• Paid month off after 4 years & every 2 years thereafter
• Regular team events and off-sites
• Remote-first with no required commute
• A story about our mission: Read Me
• Our hiring process: How we hire at Linear
• How we work: Designing remote work at Linear
• How Linear uses Linear: How our Customer Experience team works in Linear

About Linear

Linear makes software for product and engineering teams to plan work, coordinate development and ship products. Its product provides structured workflows for issues, projects and roadmaps, and the company says it is developing tools for a changing product-development environment in which people and AI systems work together.

Linear describes its team as distributed across North America and Europe and emphasizes product craftsmanship, clarity and execution. Engineering work may intersect with collaboration workflows, integrations, performance, reliability, design systems or AI-enabled product capabilities, depending on the team. The specific position description is the source for location eligibility, team assignment and the technical stack expected for this opening.

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