Databricks
Location
San Francisco, CA, Mountain View, CA, Seattle, WA, or Boston, MA At Databricks, we are passionate about helping data teams solve the world's toughest problems from enabling next-gen transportation to accelerating medical breakthroughs. We build and run a data and AI infrastructure platform to help customers use deep data insights to improve their business. Founded by engineers and customer-obsessed, we tackle technical challenges from UI/UX design for interfacing with data to scaling services and infrastructure across millions of virtual machines. At Databricks Application Engineering, we are a product-led organization transforming how we work from IT services usability for end-users to enabling Databricks scale during rapid growth. You will work on a broad set of challenging projects that provide a competitive advantage, including internal products such as chatbots powered by GenAI or products used company-wide focused on the Brickster experience. We are seeking a Full-Stack Software Engineer to help build the tools that power the Databricks organization. Our internal tools provide a competitive advantage not ordinarily derived from off-the-shelf SaaS products. The impact you will have
As a full stack software engineer (60% BE / 40% FE), you will build tools/applications for internal use as well as for external customers/partners Design, develop, test, and support full-stack applications on cloud-native distributed systems Build real-time integrations with Databricks Platform and other SaaS platforms Build a quality framework and unit tests to ensure product quality, performance, and reliability, and be able to debug/identify system issues Collaborate with broader teams, engage in engineering council, conduct code reviews, and improve our delivery process What we look for
5+ years of related experience with a Bachelors degree; or equivalent work experience Proficiency with backend technologies, including API development, databases, and privacy permissions (e.g., Go, Python, PostgreSQL, GraphQL) Experience with end-to-end testing (Playwright) and documentation Experience developing secure, scalable, and resilient cloud applications handling sensitive data Experience integrating solutions with other SaaS platforms Experience with cloud technologies (AWS, Azure, GCP), Docker, or Kubernetes Ability to collaborate with IT Product Managers and business partners Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on factors unique to each candidate, including job-related skills, depth of experience, certifications and training, and specific work location. The total compensation may include annual performance bonus, equity, and benefits. For more information regarding which range your location is in, visit our page here. Zone 1 Pay Range $147,100 $205,825 USD Zone 2 Pay Range $132,400 $185,350 USD About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform. We are headquartered in San Francisco, with offices globally, and were founded by the creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Follow Databricks on Twitter, LinkedIn, and Facebook. Benefits and Diversity
Databricks strives to provide comprehensive benefits and perks. For details in your region, please visit our benefits page. We are committed to fostering a diverse and inclusive culture and to equal employment opportunity regardless of protected characteristics. Compliance
Access to export-controlled technology or source code is at the Employers discretion, and the Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr
San Francisco, CA, Mountain View, CA, Seattle, WA, or Boston, MA At Databricks, we are passionate about helping data teams solve the world's toughest problems from enabling next-gen transportation to accelerating medical breakthroughs. We build and run a data and AI infrastructure platform to help customers use deep data insights to improve their business. Founded by engineers and customer-obsessed, we tackle technical challenges from UI/UX design for interfacing with data to scaling services and infrastructure across millions of virtual machines. At Databricks Application Engineering, we are a product-led organization transforming how we work from IT services usability for end-users to enabling Databricks scale during rapid growth. You will work on a broad set of challenging projects that provide a competitive advantage, including internal products such as chatbots powered by GenAI or products used company-wide focused on the Brickster experience. We are seeking a Full-Stack Software Engineer to help build the tools that power the Databricks organization. Our internal tools provide a competitive advantage not ordinarily derived from off-the-shelf SaaS products. The impact you will have
As a full stack software engineer (60% BE / 40% FE), you will build tools/applications for internal use as well as for external customers/partners Design, develop, test, and support full-stack applications on cloud-native distributed systems Build real-time integrations with Databricks Platform and other SaaS platforms Build a quality framework and unit tests to ensure product quality, performance, and reliability, and be able to debug/identify system issues Collaborate with broader teams, engage in engineering council, conduct code reviews, and improve our delivery process What we look for
5+ years of related experience with a Bachelors degree; or equivalent work experience Proficiency with backend technologies, including API development, databases, and privacy permissions (e.g., Go, Python, PostgreSQL, GraphQL) Experience with end-to-end testing (Playwright) and documentation Experience developing secure, scalable, and resilient cloud applications handling sensitive data Experience integrating solutions with other SaaS platforms Experience with cloud technologies (AWS, Azure, GCP), Docker, or Kubernetes Ability to collaborate with IT Product Managers and business partners Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on factors unique to each candidate, including job-related skills, depth of experience, certifications and training, and specific work location. The total compensation may include annual performance bonus, equity, and benefits. For more information regarding which range your location is in, visit our page here. Zone 1 Pay Range $147,100 $205,825 USD Zone 2 Pay Range $132,400 $185,350 USD About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform. We are headquartered in San Francisco, with offices globally, and were founded by the creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Follow Databricks on Twitter, LinkedIn, and Facebook. Benefits and Diversity
Databricks strives to provide comprehensive benefits and perks. For details in your region, please visit our benefits page. We are committed to fostering a diverse and inclusive culture and to equal employment opportunity regardless of protected characteristics. Compliance
Access to export-controlled technology or source code is at the Employers discretion, and the Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr