> Markdown version of [/jobs/ext/2059284-analytics-engineer-job](https://www.wearedevelopers.com/jobs/ext/2059284-analytics-engineer-job). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Analytics Engineer job

- **Company:** Linear Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Cloud Computing, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Software Debugging, SQL Databases, Large Language Models, Snowflake, Data Analytics, Hubspot
- **Published:** August 14, 2026
- **Apply:** https://jobs.diversity.com/career/2451815/analytics-engineer

## About the Role

* 5+ 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
 * Strong communication skills and experience partnering directly with both technical and non-technical teams
 * Comfortable using LLMs and coding agents as part of your day-to-day development workflow

Our tech

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
 * ETL / rETL: Hevo, Fivetran
 * GTM tools: Hubspot, Pocus, Clay

## Description

* Work across Product and GTM (Marketing, Sales, Customer Success, and Finance) to turn ambiguous questions and operational needs into useful metrics, models, analyses, and workflows
 * Build and maintain dbt models and pipelines that create trusted views of our product, customers, and business
 * Design clear, maintainable data models and improve the testing, documentation, performance, and reliability of our data stack
 * Build dashboards and self-service reporting in Metabase and Hex, and dig deeper when the answer requires more than a chart
 * Operationalize data through reverse ETL and partner with GTM Engineering on the scoring, segmentation, automations, and internal tools that help our teams scale
 * Balance fast, pragmatic answers with durable solutions, recognizing when a one-off request should become a reusable model or workflow
 * Find ways to leverage emerging tools, LLMs, and coding agents to accelerate development, analysis, testing, and documentation while maintaining a high bar for correctness


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software)
- [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team)
- [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights)
- [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe)