GAQ126R46
Location: San Francisco, CA, & Mountain View, CA
At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
At Databricks Application Engineering, we are a product-led organization transforming the way we work from how easy it is to use our IT services for our end-users, helping Databricks scale seamlessly in the face of incredible growth. You will work on a broad set of interesting projects that will be challenging and provide a competitive advantage to us not ordinarily derived from SaaS products. These enterprise business application projects may be focused on our internal products such as chatbots powered by GenAI or products used by the entire company focused on the Brickster experience.
We are seeking a Full-Stack Software Engineer to help build the products that power the Databricks organization. Our internal tools provide us with 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 work with your team to build amazing tools/applications for internal company use as well as external customers/partners
- You will design, develop, test, and support full-stack applications on cloud-native distributed systems
- You will build real-time integrations with Databricks Platform and other SaaS platforms
- You will build a quality framework/unit tests that ensure product quality, performance, and load and are able to debug/identify system issues
- You will collaborate with the 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 Bachelor’s degree; or equivalent work experience.
- Proficiency with UI frameworks such as React or Angular and HTML, CSS, Typescript, Javascript
- Proficiency with backend technologies, including API development, databases, and privacy permissions. Ex. Go, Python, PostgreSQL and GraphQL
- Experience with end-to-end testing (Playwright) and documentation
- Experience developing secure, scalable, and resilient applications on the cloud that handle sensitive data
- Experience integrating solutions with other SaaS platforms
- Experience with cloud technologies, e.g., AWS, Azure, GCP, Docker, or Kubernetes
- An 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 is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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