
1001 - 5000 funcionários
Fundada em 2013
🤖 Inteligência Artificial
🏢 Corporativo
☁️ SaaS
💰 $1.600.000.000 Series H em 2021-08
Artificial Intelligence • Enterprise • SaaS
A Databricks é uma empresa de dados e IA que oferece uma plataforma unificada para engenharia de dados, machine learning e analytics. Focada em otimizar o processamento de big data, ajuda organizações a aproveitar o Apache Spark para gerar insights mais profundos e criar aplicações poderosas orientadas por dados. A Databricks também disponibiliza ferramentas robustas e integração perfeita para operações de machine learning (MLOps).
🕒 Agosto 10
☕ Washington – Remoto
💵 $182.000 - $250.208 / ano
⏰ Tempo Integral
🟠 Sênior
👷🏻♀️ Engenheiro
🦅 Patrocina Visto H1B
👻 Score fantasma 0%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

1001 - 5000 funcionários
Fundada em 2013
🤖 Inteligência Artificial
🏢 Corporativo
☁️ SaaS
💰 $1.600.000.000 Series H em 2021-08
Artificial Intelligence • Enterprise • SaaS
A Databricks é uma empresa de dados e IA que oferece uma plataforma unificada para engenharia de dados, machine learning e analytics. Focada em otimizar o processamento de big data, ajuda organizações a aproveitar o Apache Spark para gerar insights mais profundos e criar aplicações poderosas orientadas por dados. A Databricks também disponibiliza ferramentas robustas e integração perfeita para operações de machine learning (MLOps).
• Handle impactful customer technical projects, including designing and building reference architectures, creating how-to guides, and productionalizing customer use cases • Work with engagement managers to scope professional services work with customer input • Guide strategic customers through transformational big data projects and third-party migrations, including end-to-end design, build, and deployment of big data and AI applications • Consult on architecture and design; bootstrap or implement customer projects to support understanding, evaluation, and adoption of Databricks • Provide escalated support for customer operational issues • Collaborate with Databricks Technical, Project Manager, Architect, and Customer teams to deliver technical engagement components • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and rapidly resolve engagement-specific issues • Report to the regional Manager/Lead
• U.S. Secret clearance or above required • 6+ years of experience in data engineering, data platforms, and analytics • Comfortable writing code in Python or Scala • Working knowledge of at least two common cloud ecosystems (AWS, Azure, GCP), with expertise in at least one • Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps • Experience designing and deploying performant end-to-end data architectures • Experience with technical project delivery, including managing scope and timelines • Documentation and whiteboarding skills • Experience working with clients and managing conflicts • Technical skills supporting deployment and integration of Databricks-based solutions • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Ability to travel up to 30% when needed
• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks (specific regional details provided via Databricks benefits document)
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