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Staff Software Engineer - Fullstack (NYC)
full-timeNew York$190k - $253k

Summary

Location

New York

Salary

$190k - $253k

Type

full-time

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About this role

P-1980

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 founding engineer in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.   


The key challenge you’ll be dealing with is leveraging the latest UX/UI technologies to create simple but powerful interfaces of very complex data and workflows. Your team is taking a UI-first and GenAI-first approach to building products. For example, you may be working in challenges such as:



  • Create interfaces for GenAI agents that generate complex workflows while keeping the human in the loop through inspectability and transparency

  • Create complex visualizations such as data pipelines, data mappings, customer journey flows, identity graphs, etc

  • Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities

  • An interactive environment for collaborative data projects at massive scale with an easy path to production


What we look for:



  • 10+ years of experience with HTML, CSS, and JavaScript

  • Passion for user experience and design and a deep understanding of front-end architecture

  • High velocity focus, able to ship high quality code frequently and with speed 

  • Experience building complex workflows and complex analytics visualizations

  • Motivated by delivering customer value

  • Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)

  • 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)

  • Good knowledge of SQL


 

 


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
$190,900$253,750 USD

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 TwitterLinkedIn 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.

Other facts

Tech stack
HTML,CSS,JavaScript,User Experience,Front-end Architecture,Complex Workflows,Analytics Visualizations,Modern JavaScript Frameworks,Node.js,Java,Python,Scala,C#,C++,Go,SQL

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 over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog.

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Databricks applicants

Please apply through our official Careers page at databricks.com/company/careers.

All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

Team size: 5,001-10,000 employees
LinkedIn: Visit
Industry: Software Development

What you'll do

  • As a founding engineer, you will be part of a small team innovating to build new products from the ground up, focusing on creating powerful interfaces for complex data and workflows. You will leverage the latest UX/UI technologies and work on challenges like creating interfaces for GenAI agents and complex visualizations.

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Frequently Asked Questions

What does Databricks pay for a Staff Software Engineer - Fullstack (NYC)?

Databricks offers a competitive compensation package for the Staff Software Engineer - Fullstack (NYC) role. The salary range is USD 191k - 254k per year. Apply through Clera to learn more about the full compensation details.

What does a Staff Software Engineer - Fullstack (NYC) do at Databricks?

As a Staff Software Engineer - Fullstack (NYC) at Databricks, you will: as a founding engineer, you will be part of a small team innovating to build new products from the ground up, focusing on creating powerful interfaces for complex data and workflows. You will leverage the latest UX/UI technologies and work on challenges like creating interfaces for GenAI agents and complex visualizations..

Why join Databricks as a Staff Software Engineer - Fullstack (NYC)?

Databricks is a leading Software Development company. The Staff Software Engineer - Fullstack (NYC) role offers competitive compensation.

Is the Staff Software Engineer - Fullstack (NYC) position at Databricks remote?

The Staff Software Engineer - Fullstack (NYC) position at Databricks is based in New York, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Staff Software Engineer - Fullstack (NYC) position at Databricks?

You can apply for the Staff Software Engineer - Fullstack (NYC) position at Databricks directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Databricks on their website.