Data Engineer

Sorry, this job was removed at 10:20 p.m. (CST) on Wednesday, Sep 17, 2025
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2 Locations
Hybrid
Cloud • Information Technology • Security • Software • Cybersecurity
Helping Build a Better Internet
The Role
Available Locations: Lisbon
About the team
The Data Analytics & Intelligence team at Cloudflare is responsible for building a centralized cloud data lake and an analytics platform that enables our internal Business Partners and Product teams with actionable insights and also provides a 360 view of our business. Our goal is to democratize data, support Cloudflare's critical business needs, provide reporting and analytics via self-service tools to fuel existing and new business critical initiatives.
About the role
We are looking for an experienced Data Engineer to join our team to scale our data platform and product insights initiatives. You will work with a wide array of data sources to build integrated data pipelines that process billions of records each day and influence our critical business initiatives.
Success in this role comes from marrying a strong data engineering background with product and business acumen to deliver scalable data pipelines and analytics solutions that can enable advanced analytics via a self-service user interface.
What you'll do
  • Design, implement and support end to end scalable data pipelines for multiple data products
  • Work closely with a cross functional team of data scientists and analysts and internal stakeholders on strategic initiatives
  • Contribute in improving an evolving data platform for scalability, observability and reliability
  • Partner with product and other data engineering teams to extract, transform and load data from various sources using big data technologies
  • Build rich data sets that drive innovation in data driven insights at scale within the company
  • Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team in Austin and San Francisco to improve the data collection and quality

Examples of desirable skills, knowledge and experience
  • B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
  • 3+ years of industry experience in software engineering, data engineering, or related fields
  • Strong programming skills with Go, Python or any JVM based programming language
  • Experience in writing advanced SQL queries
  • Knowledge of data management fundamentals and data storage/computing principles
  • Solid understanding of big data technologies such as Spark, BigQuery, Kafka etc.
  • Strong communication skills

Bonus Points
  • Experience with container based deployments such as Docker & Kubernetes
  • Experience with Google Cloud Platform or other cloud storage platforms
  • Experience in building RESTful and microservices applications is a plus

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The Company
HQ: San Francisco, CA
4,400 Employees
Year Founded: 2010

What We Do

Cloudflare, Inc. (NYSE: NET) is the leading connectivity cloud company on a mission to help build a better Internet. It empowers organizations to make their employees, applications and networks faster and more secure everywhere, while reducing complexity and cost. Cloudflare’s connectivity cloud delivers the most full-featured, unified platform of cloud-native products and developer tools, so any organization can gain the control they need to work, develop, and accelerate their business.

Powered by one of the world’s largest and most interconnected networks, Cloudflare blocks billions of threats online for its customers every day. It is trusted by millions of organizations – from the largest brands to entrepreneurs and small businesses to nonprofits, humanitarian groups, and governments across the globe.

Why Work With Us

Cloudflare employees come from all walks of life. We are mission-driven, and our team is energized by a collaborative, creative environment that celebrates our differences and fosters new ways to grow together.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We are committed to developing a global team that is distributed with a flexible working approach. Doing this equitably and inclusively is essential to our success. Visit our careers site for more on 'How & Where We Work.'

Typical time on-site: Flexible
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