Databricks

About Databricks

Empowering data teams with unified analytics

🏢 Tech👥 1K-5K📅 Founded 2013📍 San Francisco, California, United States

Key Highlights

  • Headquartered in San Francisco, CA
  • Valuation of $43 billion with $3.5 billion raised
  • Serves over 7,000 customers including Comcast and Shell
  • Utilizes Apache Spark for big data processing

Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...

🎁 Benefits

Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...

🌟 Culture

Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...

Databricks

Backend Engineer Staff

DatabricksSan Francisco - On-Site

Posted 1d ago🏛️ On-SiteStaffBackend Engineer📍 San Francisco💰 $192,000 - $260,000 / yearly
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Skills & Technologies

Overview

Databricks is hiring a Staff Software Engineer - Backend to build and operate micro-services for their data and AI infrastructure platform. You'll work with technologies like Apache Spark and Java in San Francisco.

Job Description

Who you are

You have 5+ years of backend engineering experience, particularly in building and operating micro-services at scale. Your expertise in Java and familiarity with Apache Spark will enable you to contribute effectively to our data and AI infrastructure platform. You are comfortable working with complex systems and have a strong understanding of cloud technologies and distributed systems. You thrive in collaborative environments, working closely with product management and engineering teams to prioritize and implement solutions that meet customer needs.

You possess a deep understanding of micro-services architecture and have experience in designing scalable and resilient systems. Your problem-solving skills are top-notch, allowing you to navigate challenges that arise in high-scale environments. You are passionate about technology and continuously seek to improve your skills and knowledge in backend development. You understand the importance of security and compliance in software development and are committed to delivering high-quality solutions.

What you'll do

As a Staff Software Engineer - Backend at Databricks, you will be responsible for designing, implementing, and operating micro-services that power our platform. You will collaborate with product management to understand customer requirements and translate them into technical specifications. Your role will involve writing clean, maintainable code and conducting thorough testing to ensure the reliability of our services. You will also participate in code reviews, providing mentorship to junior engineers and fostering a culture of continuous improvement within the team.

You will work on optimizing existing services and developing new features that enhance the functionality of our platform. Your contributions will directly impact the performance and scalability of our systems, enabling our customers to solve complex problems with ease. You will engage in troubleshooting and debugging efforts, addressing any issues that arise in production environments. Additionally, you will stay updated on industry trends and best practices, applying this knowledge to enhance our engineering processes and technologies.

What we offer

At Databricks, we offer a dynamic work environment where innovation is encouraged. You will have the opportunity to work with cutting-edge technologies and contribute to projects that have a significant impact on our customers' success. We provide competitive compensation and benefits, including opportunities for professional development and career growth. Join us in our mission to empower data teams and make a difference in the world through data and AI.

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