招聘
福利待遇
•Flexible Hours
•Equity
必备技能
React
TypeScript
Node.js
P-1320
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 solve 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.
Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.
Below are some example teams you can join:
SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage.
Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.
Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using toolsoutside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.
Neon Backend as a Service team is responsible for making Neon.com more than just a database — providing services that enable developers and AI agents to build full-stack applications without leaving our platform (auth, data API, email, etc.). The team focuses on designing the core primitives that will power the next generation of AI agents and developer workflows
What we look for:
-
BS/MS/PhD in Computer Science, or a related field
-
2+ years of experience with HTML, CSS, and JavaScript
-
Passion for user experience and design and a deep understanding of front-end architecture
-
Comfortable working towards a multi-year vision with incremental deliverables
-
Experience with modern JavaScript frameworks (e.g., React, Angular, Vue Js/Ember)
-
Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)
-
Good knowledge of SQL
-
Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
-
Experience in architecting, developing, deploying, and operating large scale distributed systems
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.
总浏览量
1
申请点击数
0
模拟申请者数
0
收藏
0
相似职位

Full Stack Engineer
Accenture · Bengaluru

Full Stack Software Engineer - Control Plane
ClickHouse · Netherlands (remote)

Technical Specialist - Spring Boot, React.js, Java
HCL Technologies · Amsterdam, Netherlands

Inside Solutions Architect / Specialist - Datacentre
HPE · Den Haag, Netherlands

FullStack ML Developer
JetBrains · Amsterdam, Netherlands; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia
关于Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
员工数
San Francisco
总部位置
$43B
企业估值
评价
3.8
10条评价
工作生活平衡
2.8
薪酬
4.0
企业文化
4.2
职业发展
3.5
管理层
4.0
72%
推荐给朋友
优点
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good benefits and competitive compensation
缺点
Poor work-life balance and long hours
High pressure and stressful environment
Heavy workload and overtime requirements
薪资范围
34个数据点
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1份报告
$171,004
年薪总额
基本工资
$148,699
股票
-
奖金
-
$171,004
$171,004
面试经验
6次面试
难度
3.2
/ 5
时长
21-35周
体验
正面 0%
中性 83%
负面 17%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
新闻动态
Databricks Highlights Infrastructure Demands of AI Agent Workloads - TipRanks
TipRanks
News
·
2d ago
Governing Coding Agent Sprawl with Unity AI Gateway - Databricks
Databricks
News
·
3d ago
Introducing Genie Agent Mode - Databricks
Databricks
News
·
4d ago
Open Platform, Unified Pipelines: Why dbt on Databricks is Accelerating - Databricks
Databricks
News
·
4d ago