Senior Data Engineer

Cloudflare, Inc

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Bengaluru, India
Posted: 84 days ago
Freshness: Confirmed live 2 days ago
Nearby: 25 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $175k

$125k most similar roles pay here $219k

This listing doesn't post a salary. Most similar roles pay $140,262–$209,675.

Based on 240 similar postings.

Employer

About Cloudflare, Inc

Cloudflare is a prominent cloud services and security company that provides content delivery network (CDN), DDoS mitigation, and Zero Trust security services to millions of internet properties.

Cloudflare, Inc currently has 190 open roles on FindRole.

Listed pay typically runs $215,000–$278,000 across 59 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

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Senior Data Engineer The Senior Data Engineer joins the Data Intelligence & Analytics organization to build and scale internal data products that power company-wide decision-making. This role involves designing and implementing core components of data pipelines and services while developing end-to-end applications for go-to-market, product, and engineering teams. The engineer will be responsible for building scalable systems, curating high-quality datasets for predictive analytics, and creating AI-ready data layers. Key technical requirements include proficiency in Go, Scala, Python, and SQL, along with experience managing relational, analytical, or vector databases like ClickHouse and PostgreSQL. The role also involves working with modern infrastructure such as Docker, Kubernetes, and Google Cloud Platform. This position addresses the challenge of transforming complex datasets into reliable business-critical products while integrating agentic AI architectures and LLM-enabled features into the company's data ecosystem.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

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Skills

Go Scala Python ClickHouse SQL PostgreSQL MySQL Vector Databases Docker Kubernetes Google Cloud Platform LLM Data Pipelines Distributed Systems

What you'll do

Design and implement scalable data pipelines and services using Go and Scala.
Build high-quality, well-modeled datasets to power internal products and LLM-enabled features.
Develop infrastructure for agentic AI architectures and advanced machine learning applications.
Improve the scalability, reliability, and observability of the core data platform architecture.
Partner with cross-functional teams to design solutions for business-critical data products.
Manage data ingestion, quality, and governance across global engineering teams.
Lead technical design reviews and mentor others on data engineering and AI standards.

What we're looking for

A B.S. or M.S. in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field is required.
Candidates must have 5+ years of professional experience in data engineering or software engineering roles.
Proficiency in Go, Python, or JVM-based languages for building production-grade services and pipelines is required.
Deep knowledge of SQL and experience with relational, analytical, or vector databases like PostgreSQL, MySQL, or ClickHouse is required.
Experience building scalable, reliable, and observable data pipelines using best practices for performance and quality is required.
Strong communication skills are required to partner with cross-functional teams in ambiguous environments.
Familiarity with Docker, Kubernetes, Google Cloud Platform, or LLM orchestration frameworks is preferred.
Candidates must be authorized to receive software or technology controlled under U.S. export control laws.