Senior Data Engineer

Cloudflare
Austin, Lisbon, London
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Mentorship","Knowledge sharing"]

Build and scale Cloudflare’s internal data products by designing and implementing core data pipeline and service components in Go and Scala. Partner with engineers and product stakeholders to evolve data platform architecture for scalability, reliability, observability, and correctness. Create high-quality datasets that power predictive analytics and LLM-enabled features, while working across the data ecosystem with engineers in Austin, Lisbon, and London and mentoring peers through design reviews and knowledge sharing.

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FursaFursa
Cloudflare
Cloudflare
2 months ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and scale Cloudflare’s internal data products by designing and implementing core data pipeline and service components in Go and Scala. Partner with engineers and product stakeholders to evolve data platform architecture for scalability, reliability, observability, and correctness. Create high-quality datasets that power predictive analytics and LLM-enabled features, while working across the data ecosystem with engineers in Austin, Lisbon, and London and mentoring peers through design reviews and knowledge sharing.
Location: Austin, Lisbon, London
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement core components of data pipelines and services in Go and Scala for scalability, performance, and long-term maintainability.
  • •Partner with engineers, analysts, and product stakeholders to deliver business-critical data products and agentic AI architectures.
  • •Improve data platform architecture across scalability, reliability, observability, and data correctness.
  • •Build and curate well-modeled, richly contextual datasets powering internal products, predictive analytics, and LLM-enabled features.
  • •Lead through design reviews, knowledge sharing, and mentorship, raising data engineering practices and AI implementation standards.

Pay and Benefits

Perks:Health InsuranceDentalVision401kPaid LeaveParental Leave

Key Requirements

  • •B.S. or M.S. in Computer Science, Engineering, Statistics, Mathematics, or related quantitative field, or equivalent practical experience.
  • •5+ years building and operating production data systems in data engineering, software engineering, or related roles.
  • •Strong programming skills in Go, Python, or JVM-based languages for production-grade services and pipelines.
  • •Deep SQL knowledge and hands-on experience designing data models with relational, analytical, or vector databases (e.g., PostgreSQL, MySQL, ClickHouse).
  • •Experience building scalable, reliable, observable data pipelines with strong performance, data quality, and operational best practices.
Experience:5+ years
Education:Bachelor's in Computer Science, Engineering, Statistics, Mathematics
Skills:Problem-solvingCommunicationMentorshipKnowledge sharing
Languages:English
Tech Stack:GoScalaClickHousePythonSQLPostgreSQLMySQLVector databasesWorkers AIDockerKubernetesGoogle Cloud PlatformLLM orchestration frameworksMCP-based services

Company Brief

Cloudflare
Provides a global network and cloud platform that delivers security, performance, and reliability services for web applications, APIs, and Internet properties, including CDN, DDoS protection, DNS, and zero-trust security solutions.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2009
WebsiteLinkedIn