Senior Data Engineer

Cloudflare • San Francisco, CA

5h

About The Position

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. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! About the team 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 and build systems that truly run the business. About the role We are looking for an experienced Data Engineer to join our Bengaluru team and help scale the development of our internal data products. In this role, you will build data-driven applications that empower teams across the company, including go-to-market, engineering, and product. 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. 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 work with modern AI infrastructure and tools such as vector databases, MCP-based services, and Workers AI.

Requirements

• B.S. or M.S. in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
• 7+ 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.
• Deep knowledge of SQL and hands-on experience designing data models and working with relational and/or analytical 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.
• Proven problem-solving and communication skills, with a track record of driving projects in ambiguous environments and partnering effectively with cross-functional teams.

Nice To Haves

• Familiarity with container based deployments such as Docker & K

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.
• Partner closely with engineers, analysts, and product stakeholders to design solutions for strategic initiatives and business-critical data products.
• 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 datasets that power internal products, analytics, and AI-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 and San Francisco to improve data ingestion, quality, and governance.
• Lead by example through design reviews, knowledge sharing, and mentorship, helping raise the technical bar and data engineering practices across the organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees