Senior Software Engineer - Fullstack (NYC)

Databricks
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 225K

Job location

Tech stack

HTML
Java
JavaScript
Artificial Intelligence
C Sharp (Programming Language)
C++
CSS
Ember.js
Design of User Interfaces
Data Intelligence
Python
Node.js
Scala
Virtual Machines
Web Applications
React
Vue.js
Angular
Web Technologies
Front End Software Development
Data Pipelines
Databricks
Go

Job description

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 one of the first fullstack engineers 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.

Requirements

Do you have experience in Web applications?, * 5+ 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).
  • 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).
  • Good knowledge of SQL.

Pay Range Transparency

Benefits & conditions

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.

Local Pay Range $166,000-$225,000 USD, At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

About the company

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.

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