
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
Artificial Intelligence • Enterprise • SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
🔥 2 minutes ago
🗽 New York – Remote
💵 $180.7k - $248.4k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
Artificial Intelligence • Enterprise • SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
• Work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform • Provide data engineering, data science, and cloud technology projects • Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications • Consult on architecture and design; bootstrap or implement customer projects • Provide an escalated level of support for customer operational issues. • Work with Engineering and Databricks Customer Support to provide product and implementation feedback
• 6+ years experience in data engineering, data platforms & analytics • Comfortable writing code in either Python or Scala • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps • Design and deployment of performant end-to-end data architectures • Experience with technical project delivery - managing scope and timelines. • Documentation and white-boarding skills. • Experience working with clients and managing conflicts. • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. • Databricks Certification • Travel to customers 20% of the time
• Health insurance • 401(k) matching • Professional development opportunities
Apply Now🔥 2 hours ago
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