data
Posted 1 hour agoSenior Data Engineer
at LazyApply
On-site
Responsibilities
- 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. •
- Build and curate high-quality, well-modeled, and richly contextual datasets that power internal products, predictive analytics, and LLM-enabled features at company scale. •
- 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.
Requirements
- As a result, they see significant improvement in performance and a decrease in spam and other attacks.
- 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.
- 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.
- In this role, you will build data-driven applications that empower teams across the company, including go-to-market, engineering, and product.
- Our stack spans multiple languages and technologies, including Go, Scala, and ClickHouse, and continues to evolve.
- 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. What you'll do •
- Partner closely with engineers, analysts, and product stakeholders to design solutions for strategic initiatives, business-critical data products, and agentic AI architectures. •
- 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. •
- B.S. or M.S. in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience. •
- 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
- Deep knowledge of SQL and hands-on
- experience designing data models and working with relational, analytical, or vector databases (e.g., PostgreSQL, MySQL, ClickHouse). •
- Experience building scalable, reliable, and observable data pipelines, with an understanding of performance, data quality, and operational best practices. •
- Familiarity with container based deployments such as Docker & Kubernetes. •
- Familiarity with Google Cloud Platform, foundational Large Language Model (LLM) orchestration frameworks, or something similar.
- Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
- Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
Experience
- 5+ years of professional
Benefits
- Proven problem-solving and communication skills, with a track record of driving projects in ambiguous environments and partnering effectively with cross-functional teams. Bonus Points •
- 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.
Contact
- Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Additional details
- 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.
- 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.
- The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company.
- 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. About the role
- Because the products we build are initiated and owned by the team, you will be involved end-to-end — from shaping
- requirements and designing features to implementation and long-term ownership. You will work on building scalable, reliable systems that solve critical business problems, partnering closely with full-stack engineers to develop new features and operate the data pipelines and services behind our applications.