Senior Data Engineer
Cloudflare
Use the employer link to read the full source listing and submit your application.
Listing data may include public employer ATS feeds and Jobs by Adzuna.
Before you apply
The decision-making details job seekers want first
We pulled the strongest signals from the listing so you can quickly judge fit, compensation, and what the company expects before opening the full source post.
Compensation
Salary & market context
Salary not listed
- Bonus Points Familiarity with container based deployments such as Docker & Kubernetes.
Requirements
Top requirements
- Many of our products also incorporate strong AI components, giving you opportunities to build sophisticated, AI-ready data layers and work with modern AI infrastructure and tools such as vector databases, MCP-based services, and Workers AI.
- Examples of desirable skills, knowledge and experience B.S. or M.S. in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience. 5+ years of professional experience in data engineering, software 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 pipelines.
- Bonus Points Familiarity with container based deployments such as Docker & Kubernetes.
Perks & setup
Benefits candidates care about
- Bonus Points Familiarity with container based deployments such as Docker & Kubernetes.
- All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
Why candidates care
Benefits & perks
- Bonus Points Familiarity with container based deployments such as Docker & Kubernetes.
- All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
Start here
Requirements
- Many of our products also incorporate strong AI components, giving you opportunities to build sophisticated, AI-ready data layers and work with modern AI infrastructure and tools such as vector databases, MCP-based services, and Workers AI.
- Examples of desirable skills, knowledge and experience B.S. or M.S. in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience. 5+ years of professional experience in data engineering, software 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 pipelines.
- Bonus Points Familiarity with container based deployments such as Docker & Kubernetes.
- Familiarity with Google Cloud Platform, foundational Large Language Model (LLM) orchestration frameworks, or something similar.
Responsibilities
What you'll do
- Design and implement core components of our data pipelines and services in Go and Scala, with a focus on scalability, performance, and long-term maintainability.
- Partner closely with engineers, analysts, and product stakeholders to design solutions for strategic initiatives, business-critical data products, and agentic AI architectures.
- Contribute to the evolution of our data platform architecture, improving scalability, reliability, observability, and data correctness across the stack.
- Build and curate high-quality, well-modeled, and richly contextual datasets that power internal products, predictive analytics, and LLM-enabled features at company scale.
- Develop a deep understanding of the company’s data ecosystem — including source systems, tooling, and data flows — and collaborate closely with the data engineering teams in Austin, Lisbon, and London to improve data ingestion, quality, and governance.
- Lead by example through design reviews, knowledge sharing, and mentorship, helping raise the technical bar, data engineering practices, and AI implementation standards across the organization.
- Examples of desirable skills, knowledge and experience
- B.S. or M.S. in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
Role snapshot
About the role
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Title - Senior Data Engineer
More detail
Nice to have
- s
- Familiarity with container based deployments such as Docker & Kubernetes.
- Familiarity with Google Cloud Platform, foundational Large Language Model (LLM) orchestration frameworks, or something similar.
- What Makes Cloudflare Special?
- We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
- Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
- Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
- 1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.
Source text