
Search. Observe. Protect.
Data Engineer II - Platform Analytics - Kibana Platform - AppEx
必备技能
Python
SQL
Kubernetes
Terraform
GCP
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is The Role
We’re looking for a Data Engineer to join our Platform Analytics team. In this role, you’ll help build and maintain scalable data pipelines and analytics solutions that support business, product, and technical use cases across Elastic. You’ll work closely with cross-functional partners to deliver reliable, high-quality data in a fast-moving, distributed environment.
What You Will Be Doing
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Build, enhance, and maintain data ingestion and transformation pipelines
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Develop and optimize analytics datasets using Big Query and dbt
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Support and maintain existing data systems as needed to ensure continuity and data reliability
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Design scalable data models that enable trusted analytics and reporting
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Partner with product managers, analysts, and solution teams to translate ambiguous requirements into effective data solutions
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Monitor data quality and system health to ensure accurate, timely insights
What You Bring
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Strong experience with SQL and Python
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3+ years of experience in Data Engineering, preferably on Google Cloud Platform (GCP)
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Experience designing and operating production data pipelines at scale
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Good knowledge of architecture and design (patterns, reliability, scalability, quality) of complex systems
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Familiarity with Big Query and modern ELT tools (e.g., dbt)
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Experience with AI tools and workflows
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Strong analytical and problem-solving skills
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Clear written and verbal communication skills
Bonus Points
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Experience with Buildkite and Terraform
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Experience with Dataflow on GCP
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Experience with Elasticsearch
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Experience with Kubernetes
Additional Information
- We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
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Competitive pay based on the work you do here and not your previous salary
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Health coverage for you and your family in many locations
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Ability to craft your calendar with flexible locations and schedules for many roles
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Generous number of vacation days each year
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Increase your impact
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We match up to $2000 (or local currency equivalent) for financial donations and service
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Up to 40 hours each year to use toward volunteer projects you love
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Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see here for our Privacy Statement.
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关于Elastic

Elastic
PublicElastic is a Dutch-American software company that provides a platform for enterprise search, observability, and cybersecurity. Its product enables users to search and analyze large-scale data, monitor system performance, and detect anomalies.
201-500
员工数
Mountain View
总部位置
$8.5B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
3.8
薪酬
2.5
企业文化
4.2
职业发展
2.8
管理层
2.3
65%
推荐率
优点
Flexible work arrangements and schedules
Supportive team and colleagues
Good benefits and health coverage
缺点
Below average compensation and salary
Limited career advancement opportunities
Heavy workload and high stress
薪资范围
247个数据点
Senior/L5
Senior/L5 · Senior Analyst, Sales Strategy & Operations
1份报告
$212,750
年薪总额
基本工资
$185,000
股票
-
奖金
-
$212,750
$212,750
面试评价
6条评价
难度
3.3
/ 5
时长
14-28周
录用率
17%
体验
正面 0%
中性 83%
负面 17%
面试流程
1
Application Review
2
Resume Screening
3
HR/Recruiter Screen
4
Technical Phone Screen
5
System Design Interview
6
Onsite/Final Round Interview
常见问题
Coding/Algorithm
System Design
Infrastructure Design
Technical Knowledge
Behavioral/STAR
最新动态
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