Senior Data Engineer - Cloudflare

About the Team

The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across Cloudflare. 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.

About the Role

We are looking for an experienced Data Engineer to join our Austin team to help scale our internal data products. You will be involved end-to-end—from shaping requirements and designing features to implementation and long-term ownership. You will work on scalable, reliable systems, partnering with full-stack engineers to develop features and operate data pipelines.

What You'll Do

• Design and implement core components of data pipelines and services in Go and Scala.
• Partner with engineers, analysts, and product stakeholders to design solutions for strategic initiatives and agentic AI architectures.
• Contribute to the evolution of our data platform architecture, improving scalability, reliability, and observability.
• Build and curate high-quality, well-modeled datasets that power internal products, predictive analytics, and LLM-enabled features.
• Collaborate with global teams in Austin, Lisbon, and London to improve data ingestion, quality, and governance.
• Lead by example through design reviews, knowledge sharing, and mentorship.

Desirable Skills & Experience

• B.S. or M.S. in Computer Science, Engineering, Statistics, Mathematics, or equivalent practical experience.
• 5+ years of professional experience in data or software engineering building production data systems.
• Strong programming expertise in Go, Python, or JVM-based languages.
• Deep knowledge of SQL and hands-on experience with relational, analytical, or vector databases (e.g., PostgreSQL, ClickHouse).
• Experience building scalable, reliable, and observable data pipelines.
• Proven problem-solving skills and ability to drive projects in ambiguous environments.

Bonus Points

• Familiarity with container-based deployments (Docker & Kubernetes).
• Experience with Google Cloud Platform or LLM orchestration frameworks.