Software Engineer - Spark Runtime - Databricks

Software Engineer – Spark Runtime

Mission

As an engineer at Databricks, you are responsible for developing the future of Internet-scale distributed production pipelines. You will be empowered to take a customer-first approach to solving problems. Our users range from small companies doing periodic analysis to Fortune 500 companies creating just-in-time data warehouses to do real-time machine learning and artificial intelligence on web-scale data. Your team designs, plans, implements and maintains the platform they build upon. This demands a high degree of critical thinking, customer focused design, and problem solving. We are looking for engineers who will bring revolutionary ideas to an area that is largely silo’ed to data engineering, data science, and machine learning teams in large organizations. You will help us change that, freeing everyone to analyze and extract value from their data.

Outcomes

  • Excellent problem analysis and solving skills.
  • Excellent communication and teamwork.
  • Strong foundation in algorithms and data structures and their real-world use cases.
  • Solid understanding of computer systems and networks.
  • Production quality coding standards and patterns.
  • Passion for developing amazing customer experiences.

Competencies

  • 4+ years of general software programming experience.
  • 4+ years of modern, production level experience in one of: Java, Scala, JavaScript, or C++.
  • BS in Computer Science, Math, related technical field or equivalent practical experience.
  • Experience with: Large scale distributed computing, Database internals, Big Data engines e.g. Spark, Hadoop

About Databricks

Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell, and HP.  For more information, visit www.databricks.com.

Apache, Apache Spark and Spark are trademarks of the Apache Software Foundation.

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