Senior Software Engineer - Fullstack
At a glance
Senior Full-stack Engineering role at Databricks. Mountain View · $166,000–$225,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build product experiences that make data insights easier to use, covering both implementation and the customer journey
- Create workflows for setting up and managing compute clusters, networks, and data sources
- Develop data pipelines with tools to inspect their graphs, and support creating, testing, and upgrading them
- Build SQL-based data exploration and dashboards, plus collaborative project spaces with a route to production
- Shape onboarding and organization management so members can use data in their work
What you bring
- At least five years working with HTML, CSS, and JavaScript
- At least five years building with server-side web technologies such as Node.js, Java, or Python
- Strong front-end architecture knowledge and a real interest in user experience and design
- Experience with modern JavaScript frameworks and cloud technologies, plus familiarity with SQL
- Background building distributed systems at large scale
Who this fits
This senior full-stack role suits an engineer who can own the broader product experience, not only its technical implementation. You should be comfortable delivering in increments toward a longer-term vision and staying focused on customer value. The listed location is Mountain View, California.
From the employer
P-160
Who We Are
At Databricks, we are passionate about enabling data teams to 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 Intelligence 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 tackle 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.
As a Full Stack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products.
Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts.
- Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources.
- Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs.
- Seamless onboarding and management for all members of an organization to become data-driven.
- Provide a great SQL-centric data exploration and dashboarding experience on Databricks
- An interactive environment for collaborative data projects at massive scale with an easy path to production.
What we look for:
- 5+ years of experience with HTML, CSS, and JavaScript.
- Passion for user experience and design and a deep understanding of front-end architecture.
- Comfortable working towards a multi-year vision with incremental deliverables.
- Motivated by delivering customer value.
- Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
- 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).
- Good knowledge of SQL.
- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
- Experience developing large-scale distributed systems.
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.
Local Pay Range$166,000—$225,000 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
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.
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