Высококлассная возможность в уважаемой продуктовой компании с современным стеком данных, четким определением роли и исключительными бонусами.
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Зарплата не указанаСовременный и передовой стекТоповый work-life balanceТрендовый доменПрозрачные задачи
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Hirify AI/Оригинал
TL;DR
Analytics Engineer (SQL/dbt): Building trusted data models, pipelines, dashboards, and workflows that support Product and go-to-market teams with an accent on data quality, maintainability, and self-service analytics. Focus on designing reusable models, operationalizing data through reverse ETL, and applying LLMs and coding agents to accelerate reliable development and analysis.
Location: Remote within North America, with optional co-working offices in San Francisco, New York, and London and occasional team travel.
Company
Linear builds a product development system for teams and AI agents, serving more than 40,000 companies.
What you will do
Translate ambiguous Product and GTM questions into metrics, models, analyses, and workflows.
Build and maintain dbt models and data pipelines covering product, customer, and business data.
Improve data modeling, testing, documentation, performance, and reliability across the data stack.
Create dashboards and self-service reporting in Metabase and Hex, and perform deeper analysis when needed.
Operationalize data through reverse ETL, scoring, segmentation, automations, and internal tools.
Use LLMs and coding agents to accelerate development, analysis, testing, and documentation while maintaining correctness.
Requirements
5+ years of experience in analytics engineering, data analytics, or data engineering.
Exceptional SQL skills and hands-on experience with dbt and a modern cloud data warehouse.
Experience owning data projects end to end, from ambiguous problem definition to delivery.
Strong judgment in data modeling, analytical investigation, maintainability, and reusable solutions.
Ability to work across technical implementation and business contexts and communicate with technical and non-technical partners.
Comfort using LLMs and coding agents in daily development work.
Nice to have
Experience working at a fast-moving software company.
Familiarity with Snowflake, Metabase, Hex, Hevo, Fivetran, HubSpot, Pocus, or Clay.
Culture & Benefits
Remote-first environment with async collaboration and no required commute.
Optional co-working, team events, off-sites, and occasional travel.
Competitive salary and equity with employee-friendly equity terms.
Daily meal and coffee stipend, paid co-working space or desk, and health coverage based on country requirements.
Five weeks of paid vacation, local statutory holidays, four months of paid parental leave, and periodic paid extended leave.
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