Staff Software Engineer - Fullstack (NYC)

Posted 2 Days Ago
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New York, NY
In-Office
191K-254K Annually
Expert/Leader
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The Staff Software Engineer will innovate in building new products using modern UX/UI technologies, focusing on complex data and workflows. Responsibilities include creating interfaces for GenAI agents, visualizations, and collaborative environments for large-scale data projects.
Summary Generated by Built In

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 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

Angular
C#
C++
CSS
Ember
Go
HTML
Java
JavaScript
Node.js
Python
React
Scala
SQL
Vuejs
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The Company
New York, NY
2,200 Employees
Year Founded: 2013

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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