
51 - 200 funcionários
A dbt Labs tem a missão de capacitar profissionais de dados a criar e disseminar conhecimento organizacional. Desde que pioneirou a prática de analytics engineering com a criação do dbt — a ferramenta open source de transformação de dados feita para qualquer pessoa que conhece SQL —, tivemos o privilégio de ver mais de 5.000 empresas usarem o dbt para construir fluxos de trabalho de analytics mais rápidos e confiáveis.
🕒 Maio 5
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
A dbt Labs tem a missão de capacitar profissionais de dados a criar e disseminar conhecimento organizacional. Desde que pioneirou a prática de analytics engineering com a criação do dbt — a ferramenta open source de transformação de dados feita para qualquer pessoa que conhece SQL —, tivemos o privilégio de ver mais de 5.000 empresas usarem o dbt para construir fluxos de trabalho de analytics mais rápidos e confiáveis.
• 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.
Candidatar-se🕒 Maio 4
Lead Engineer focusing on test automation and tools development at Moniepoint. Responsible for designing advanced testing frameworks and automation tools for diverse platforms.
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🕒 Maio 1
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