Staff Fullstack Engineer

Databricks; San Francisco (CA); On-site; USD 192,000 - 260,000; Full time

Benefits offered by this job

Comprehensive health coverage

401(k) Plan

Equity awards

Flexible time off

Paid parental leave

Gym reimbursement

Job summary

Databricks, based in San Francisco, seeks a Senior Frontend Engineer to enhance data insights for customers. You will leverage 5+ years of experience in HTML, CSS, and JavaScript to build user-friendly interfaces and manage complex data workflows.

This role offers opportunities to work on scalable products and design solutions that impact various industries. Benefits include comprehensive health coverage, flexible time off, and equity awards.

Qualifications

• 5+ years of experience with HTML, CSS, and JavaScript.
• Experience leading large, multi-quarter efforts.
• Passion for user experience and design.
• Familiarity with server-side web technologies is a plus.

Responsibilities

• Work with team to simplify insights from data.
• Lead robust, scalable product development.
• Create workflows for large-scale data management.

Skills

HTML

CSS

JavaScript

React

UI/UX Design

Front-end Architecture

Job description

P-925

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 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 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 Senior Frontend 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.
• Experience leading large, multi-quarter efforts with a demonstrated customer or business impact.
• Passion for user experience and design and an 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).
• Familiarity with server-side web technologies is a plus.
• Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability.
• Experience building large-scale products.

Benefits

• Comprehensive health coverage including medical, dental, and vision.
• 401(k) Plan.
• Equity awards.
• Flexible time off.
• Paid parental leave.
• Family Planning.
• Gym reimbursement.
• Annual personal development fund.
• Work headphones reimbursement.
• Employee Assistance Program (EAP).
• Business travel accident insurance.
• Mental wellness resources.

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.

Local Pay Range

$192,000-$260,000 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.

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.