Cloudflare
Senior Data Engineer
In-Office +1 · Senior · Full-time · Posted Jul 14, 2026
- Location
- In-Office
Austin, TX, United States - Experience
- 5+ years in data engineering, software engineering, or related roles, building and operating production data systems.
- Education
- B.S. or M.S. in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
- Visa sponsorship
- An offer may be conditioned on authorization to receive software or technology controlled under U.S. export laws without sponsorship for an export license.
About the job
Build and operate scalable internal data products, pipelines, and services that support company decision-making, predictive analytics, and AI-enabled applications.
What you'll do
- Design and implement data pipelines and services, and improve platform scalability, reliability, observability, and correctness.
- Partner with engineers, analysts, and product stakeholders to develop business-critical data products and agentic AI architectures.
- Create high-quality datasets for internal products, predictive analytics, and LLM-enabled features; contribute to technical leadership and mentorship.
What they ask for
- Strong programming expertise in Go, Python, or JVM-based languages, with production service and pipeline experience.
- Deep SQL knowledge and hands-on experience with data modeling and relational, analytical, or vector databases.
- Experience building scalable, reliable, observable production data pipelines and systems.
- Problem-solving and communication skills, with experience driving projects in ambiguous settings and collaborating cross-functionally.
Nice to have
- Familiarity with Docker and Kubernetes.
- Familiarity with Google Cloud Platform, LLM orchestration frameworks, or similar.
Tools
Go, Scala, Python, JVM-based languages, SQL, PostgreSQL, MySQL, ClickHouse
AI focus
Build data layers and datasets for predictive analytics, LLM-enabled features, and agentic AI architectures; work with AI infrastructure such as vector databases, MCP-based services, and Workers AI.
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