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engineering, or related roles, building and operating production data systems. - Strong programming expertise in Go, Python, or JVM-based languages, with experience writing high-quality, production-grade services and pipeline
Location & work details
Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.
- Original location
- In-Office
- Work mode
- In-Office (ATS workplaceType/location)
- Stack
- The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack, build specialized data solutions for predictive modeling and machine learning applications, and construct systems that truly run the business. (Source language/tool mention)
- Stack
- - Strong programming expertise in Go, Python, or JVM-based languages, with experience writing high-quality, production-grade services and pipelines. (Source language/tool mention)
- Stack
- - Familiarity with container based deployments such as Docker & Kubernetes. (Source language/tool mention)
- Stack
- - Familiarity with container based deployments such as Docker & Kubernetes. (Source language/tool mention)
- Stack
- - Deep knowledge of SQL and hands-on experience designing data models and working with relational, analytical, or vector databases (e.g., PostgreSQL, MySQL, ClickHouse). (Source language/tool mention)
- Stack
- guages and technologies, including Go, Scala, and ClickHouse, and continues to evolve. Many of our products al (GTM description)
- Stack
- ultiple languages and technologies, including Go, Scala, and ClickHouse, and continues to evolve. Many of (GTM description)
- Stack
- work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the op (GTM description)
- Normalization
- Explicit source location text; no city-only country inference.
Employer posting
Senior Data EngineerSource details
Company identifier: Cloudflare
Source ID: greenhouse:cloudflare:8055118
Board: greenhouse:cloudflare
Evidence field: description
Match rule: nice_to_have_context
Go matches in source: 6
Department as supplied: Business Intelligence
Initial tile shown while the company identity or image needs review.