招聘
薪酬
$166,000 - $225,000
福利待遇
•Healthcare
•Learning
•Equity
必备技能
React
Node.js
TypeScript
P-160
Who We Are
We are a product-focused engineering team responsible for building and evolving the Data Intelligence Platform at Databricks. Our mission is to empower our customers to accomplish more, faster by delivering cutting-edge AI-driven features.
We develop AI-powered productivity tools, including:
-
Databricks Assistant – A conversational AI for seamless assistance throughout Databricks.
-
Ghost Text & Intellisense – Smart code completion and inline suggestions.
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Automated Error Correction & Query Optimizations – AI-driven code fixes and suggestions for higher efficiency.
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AI-powered no/low-Code experiences – Enabling users to interact with data without deep coding expertise.
Who You Are
You are a highly productive Senior Software Engineer, eager to ship impactful AI features and shape the future of data intelligence.
What You’ll Do
-
Own end-to-end execution – From ideation to production, you take responsibility for delivering high-quality, scalable solutions.
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Thrive in fast-paced environments – Comfortable with ambiguity, rapid iteration, and building AI-powered features that make a difference.
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Bring strong TypeScript expertise – Designing, testing, and optimizing large-scale, performance-critical applications.
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Be data-driven – Instrument features and run experiments to measure the impact on users and iterate effectively.
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Have a bias for action & pragmatic problem-solving – You move fast, make trade-offs wisely, and find practical paths to impact.
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Care deeply about developer & customer experience – You build intuitive, powerful tools that simplify complex workflows.
What we look for:
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5+ years of experience with HTML, CSS, and JavaScript.
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Passion for user experience and design and a deep understanding of front-end architecture.
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Comfortable working towards a multi-year vision with incremental deliverables.
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Motivated by delivering customer value.
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Experience with modern JavaScript frameworks (e.g., React, Angular, or Vue Js/Ember).
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5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).
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Good knowledge of SQL.
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Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
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Experience developing large-scale distributed systems.
Why Join Us?
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Work on AI-powered features that directly impact thousands of data practitioners all over the world.
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Collaborate with a world-class team at the intersection of AI, data, and cloud computing.
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Build innovative solutions in a fast-moving, high-growth environment.
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Ready to shape the future of the Data Intelligence Platform at Databricks? Apply now!
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**$166,000—$225,000 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, 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.
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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
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