The Data Engineer Intern will deliver full-stack data solutions, working across the data lifecycle. Key responsibilities include designing ETL, creating data models, and facilitating data-driven decision-making through analytics and reporting.
Available location(s): Austin, US
About the team
The Data Intelligence & Analytics team at Cloudflare is responsible for building a centralized analytics platform and cloud data lake 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
This internship is targeting students with experience and interest in Data Engineering.
The Data Engineer Intern delivers full-stack data solutions across the entire data processing pipeline. This role relies on systems engineering principles to design and implement solutions that span the data lifecycle - collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies, data virtualization, and all security and authentication mechanisms required to protect the data.
What you'll do
Examples of desirable skills, knowledge, and experience
Bonus Points:
About the team
The Data Intelligence & Analytics team at Cloudflare is responsible for building a centralized analytics platform and cloud data lake 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
This internship is targeting students with experience and interest in Data Engineering.
The Data Engineer Intern delivers full-stack data solutions across the entire data processing pipeline. This role relies on systems engineering principles to design and implement solutions that span the data lifecycle - collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies, data virtualization, and all security and authentication mechanisms required to protect the data.
What you'll do
- Work through all stages of a data solution lifecycle - analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics
- Knowledge of modern enterprise data architectures, design patterns, and data tool sets and the ability to apply them
- Identify key metrics and build exec-facing dashboards to track progress of the business and its highest priority initiatives
- Identify key business levers, establish cause & effect, perform analysis, and communicate key findings to various stakeholders to facilitate data driven decision-making
- Work closely across the business teams like Finance, Sales, Marketing, Legal, Customer Support, Product, Engineering
Examples of desirable skills, knowledge, and experience
- Currently enrolled in M.S in Computer Science, Engineering or related STEM field
- Experience working with Go, Python, SQL, Java, or equivalent programming languages
- Experience working with distributed systems (Spark etc.)
- Hands-on experience in data pipelines/ frameworks development
- Ability and interest to learn new skills and technologies quickly
- Excellent communication and problem-solving skills
- Ability to commit to a 12 week summer internship
- In office 3-4 days a week in Austin, TX
Bonus Points:
- Familiarity with container based deployments such as Docker and Kubernetes
- Experience with JavaScript, Typescript, and React
Top Skills
Docker
Go
Java
JavaScript
Kubernetes
Python
React
Spark
SQL
Typescript
Cloudflare London, England Office
Riverside Building, 6th Floor, County Hall/The, Belvedere Rd, London, United Kingdom, SE1 7PB
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