Data Engineer Ii - Platform Analytics - Kibana Platform
Elasticsearch
yesterday
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Job location
Tech stack
Artificial Intelligence
Business Analytics Applications
Google BigQuery
Information Engineering
ETL
Data Systems
Elasticsearch
Data Flow Control
Operational Databases
SQL Databases
Unstructured Data
Web Analytics
Google Cloud Platform
AI Platforms
Kubernetes
Terraform
Data Pipelines
Job description
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:
Build, enhance, and maintain data ingestion and transformation pipelines
Develop and optimize analytics datasets using BigQuery and dbt
Support and maintain existing data systems as needed to ensure continuity and data reliability
Design scalable data models that enable trusted analytics and reporting
Partner with product managers, analysts, and solution teams to translate ambiguous requirements into effective data solutions
Monitor data quality and system health to ensure accurate, timely insights
What You Bring
Requirements
Strong experience with SQL and Python
3+ years of experience in Data Engineering, preferably on Google Cloud Platform (GCP)
Experience designing and operating production data pipelines at scale
Good knowledge of architecture and design (patterns, reliability, scalability, quality) of complex systems
Familiarity with BigQuery and modern ELT tools (e.g., dbt)
Experience with AI tools and workflows
Strong analytical and problem-solving skills
Clear written and verbal communication skills
Bonus Points:
Experience with Buildkite and Terraform
Experience with Dataflow on GCP
Experience with Elasticsearch
Experience with Kubernetes
About the company
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.
Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Increase your impact - We match up to $**** (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with a 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 ******. We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws and can view the following posters linked below:
Family and Medical Leave Act (FMLA) Poster
Employee Polygraph Protection Act (EPPA) Poster
Please see here for our Privacy Statement.
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.
Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. 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.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Equal Employment Opportunity (EEO) Poster; and Employee Polygraph Protection Act (EPPA) Poster.
Please see here for our Privacy Statement.
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