CadetX
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Cloudflare•Data EngineeringGraduateOn-site

Systems Engineer, Data Intelligence & Analytics Team

In-OfficeCompetitive • Active Opening
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Verified opening from Cloudflare's official portal

Role Description & Responsibilities

Data Engineering

About Cloudflare

Cloudflare is a high-growth technology leader building scalable solutions for global users. Millions of companies and teams rely on their infrastructure and services to execute high-value workflows, analyze massive datasets, and scale modern operations.

CadetX Candidate Advantage: As an applicant for this Data Engineering role, you are evaluated on practical proficiency with real-world query execution, data pipelines, and clear stakeholder communication.

CadetX Role Brief & Company Specifications

Role Mission & Impact

The Data Intelligence & Analytics 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 data applications to fuel existing and new business critical initiatives.

We are looking for a Systems Engineer to join our Austin team to scale our development efforts on Platform Tooling initiatives. You will work on building data application tools and frameworks which empowers our Internal Teams. You will work closely with the Data Engineers on the team to add new features and maintain our data pipelines written in Go. You can expect to interact with various languages and technologies including, but not limited to Go, React, and Clickhouse.

Key Responsibilities & Day-to-Day Scope

  • ✓ Design and implement key features of our internal applications
  • ✓ Work closely with a cross functional team to design features and solutions that solve critical business problems
  • ✓ Contribute in improving an evolving platform architecture for scalability, observability and reliability
  • ✓ Continuously involved in knowledge sharing and mentorship
  • ✓ B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
  • ✓ Experience working with Go, Python, Java, or equivalent programming languages
  • ✓ Knowledge of SQL and common relational database systems such as PostgreSQL and MySQL
  • ✓ Experience with CI/CD, Gitlab CI
  • ✓ Excellent communication & problem solving skills
  • ✓ Ability to collaborate with cross functional teams and work through ambiguous business requirements
  • ✓ Familiarity with container based deployments such as Docker & Kubernetes
  • ✓ Familiarity with Google Cloud Platform or something similar
  • ✓ Familiarity with Javascript, Typescript, and React
  • ✓ Medical/Rx Insurance

Official Qualifications & Technical Requirements

  • • Dental Insurance
  • • Vision Insurance
  • • Flexible Spending Accounts
  • • Commuter Spending Accounts
  • • Fertility & Family Forming Benefits
  • • On-demand mental health support and Employee Assistance Program
  • • Global Travel Medical Insurance
  • • Short and Long Term Disability Insurance
  • • Life & Accident Insurance
  • • 401(k) Retirement Savings Plan
  • • Employee Stock Participation Plan
  • • Flexible paid time off covering vacation and sick leave
  • • Leave programs, including parental, pregnancy health, medical, and bereavement leave

Preferred Skills & Technology Stack

  • + Experience with big data tools (Apache Spark, Kafka, Flink) and cloud platforms (AWS, Azure, GCP).
  • + Familiarity with dbt (data build tool) for SQL transformations.
  • + Hands-on experience with Docker and Linux system administration.

Tech Stack & Tools in this role

Expected technical competencies for Day 1 productivity:

ETL / ELT PipelinesSQL Data WarehousesApache Spark / DatabricksAirflow & Orchestration

★ Life & Culture at Cloudflare

Verified Employer

Cloudflare champions rigorous analytical discipline, continuous learning, and low-ego teamwork. Team members enjoy flexible hybrid allowances, learning stipends, and structured mentorship to fast-track career mobility.