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HomeCompaniesDatabricksSr Fullstack Engineer, Agentic Applications

Sr Fullstack Engineer, Agentic Applications

Databricks · Mountain View, California · Active · $192,000–$260,000 / year · Greenhouse

Job facts

FieldValue
CompanyDatabricks
TitleSr Fullstack Engineer, Agentic Applications
Normalized title-
Department / teamEngineering - Pipeline
LocationMountain View, CA, United States
Work model-
Employment type-
Salary$192,000–$260,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-03-03 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Databricks.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Mountain View.Open
Department jobsActive postings in Engineering - Pipeline.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyDatabricks
Sourcee76d888a-29e0-42cd-bf7d-e9482c0e5b5f
ATS providerGreenhouse

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 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 COVID-19 Vaccination Requirement As a federal government contractor, Databricks requires new U.S. employees to be fully vaccinated against COVID-19. Proof of vaccination will be required as a condition of employment. Databricks will make reasonable accommodations based on medical conditions or religious grounds for qualified candidates in accordance with applicable law. 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 $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. 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 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.

Full job record

Job ID23642d50467e7b41fb61714022817f7a42d87ab4
Org ID35d19e0b-26e9-43f3-ace9-4c7841dbe8ae
Source IDe76d888a-29e0-42cd-bf7d-e9482c0e5b5f
Board IDe76d888a-29e0-42cd-bf7d-e9482c0e5b5f
Providergreenhouse
Provider Job Key8220814002
TitleSr Fullstack Engineer, Agentic Applications
Normalized Title
Statusactive
Activeyes
Location TextMountain View, California
DepartmentEngineering - Pipeline
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionCA
CityMountain View
Salary RawPay Range $192,000 — $260,000 USD About Databricks Databricks is the data and AI company
Salary Min192,000
Salary Max260,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://databricks.com/company/careers/open-positions/job?gh_jid=8220814002
Apply URLhttps://databricks.com/company/careers/open-positions/job?gh_jid=8220814002
First Seen At2026-05-29 22:42:59Z
Last Seen At2026-06-06 07:35:41Z
Last Checked At2026-06-06 07:35:41Z
Last Changed At2026-05-29 22:42:59Z
Inactive At
Source Posted At2026-03-03 16:24:08Z
Source Updated At2026-04-09 20:51:19Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=databricks/date=2026-06-06/2026-06-06T07-35-40-531Z-fb10084c965d4be1acb89ee334f202053cf0441b79f8cd34184484b9ba265f24.json
Event Fields
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Parsed Structured
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  "salary_period": "year",
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Extensions
{}
Native Structured
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  "first_published": "2026-03-03T11:24:08-05:00",
  "application_deadline": null
}
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