채용
필수 스킬
Java
SQL
AWS
Kubernetes
Azure
Spark
Excel
Scala
P-1319
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.
As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.
The impact you'll have:
Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:
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Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
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Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
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Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.
What we look for:
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BS (or higher) in Computer Science, or a related field
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7+ years of production level experience in one of: Java, Scala, C++, or similar language.
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Experience developing large-scale distributed systems.
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Experience working on a SaaS platform or with Service-Oriented Architectures.
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Good knowledge of SQL.
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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Databricks 소개

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+
직원 수
San Francisco
본사 위치
$43B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
2.8
보상
4.0
문화
4.2
커리어
3.5
경영진
4.0
72%
친구에게 추천
장점
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good benefits and competitive compensation
단점
Poor work-life balance and long hours
High pressure and stressful environment
Heavy workload and overtime requirements
연봉 정보
34개 데이터
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1개 리포트
$171,004
총 연봉
기본급
$148,699
주식
-
보너스
-
$171,004
$171,004
면접 경험
6개 면접
난이도
3.2
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 83%
부정 17%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
뉴스 & 버즈
Databricks Highlights Infrastructure Demands of AI Agent Workloads - TipRanks
TipRanks
News
·
3d ago
Governing Coding Agent Sprawl with Unity AI Gateway - Databricks
Databricks
News
·
4d 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