
51 - 200 employés
dbt Labs a pour mission de permettre aux professionnels de la donnée de créer et de diffuser des connaissances organisationnelles. Depuis qu'ils ont initié la pratique de l'ingénierie analytique grâce à la création de dbt—l'outil open source dédié à la transformation de données, conçu pour tous ceux qui maîtrisent le SQL—nous avons eu la chance de voir plus de 5 000 entreprises utiliser dbt pour développer des flux de travail analytiques plus rapides et plus fiables.
🕒 il y a 1 mois
🗣️🇺🇸🇬🇧 Anglais requis
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51 - 200 employés
dbt Labs a pour mission de permettre aux professionnels de la donnée de créer et de diffuser des connaissances organisationnelles. Depuis qu'ils ont initié la pratique de l'ingénierie analytique grâce à la création de dbt—l'outil open source dédié à la transformation de données, conçu pour tous ceux qui maîtrisent le SQL—nous avons eu la chance de voir plus de 5 000 entreprises utiliser dbt pour développer des flux de travail analytiques plus rapides et plus fiables.
• Design, build, and maintain core features of MetricFlow, including metric definitions, query compilation, dimensional modeling, and SQL generation across multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others). • Own MetricFlow as an open-source project — triage issues, review external pull requests, manage releases, and engage the community on GitHub and in Slack. • Collaborate with engineers across dbt Cloud, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem. • Improve performance, reliability, and observability of metric query execution at scale. • Partner with product, design, and developer-relations teammates to translate customer and community feedback into shipped improvements. • Write clear technical documentation, RFCs, and design docs that raise the bar for how the team thinks and ships. • Mentor other engineers through code review, pairing, and technical guidance.
• Strong professional software engineering experience, with a strong track record of shipping production systems. • Deep proficiency in Python, including modern typing, testing practices, and packaging. • Strong SQL fundamentals and a working understanding of how analytical query engines and data warehouses execute queries. • Experience designing systems that involve parsing, compilation, or transformation — for example: query planners, DSL compilers, type systems, or rule-based engines. • Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility. • Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, PMs, and external community members. • Experience collaborating in a distributed, asynchronous team environment.
• Competitive compensation: Market-leading salary, equity, comprehensive health insurance, generous time off, learning & wellness stipends, and home-office support.
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