Multi-Cloud CDN Data Platform Engineer Graduate
ByteDance
Posted 14 Nov 2026, 04:59 ET
This job at a glance
- Who can apply
- New grads, no experience needed · Master's degree
- Must know
- Social mediaOperationsStatisticsPythonJavaGo
- Nice to have
- ETLData visualizationBusiness analysisSpark
- Work
- On-site in Seattle
- Pay
- Not stated by the employer.
- Skill demand
- Python59%Operations34%Statistics6%Social media1%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 14, 2026 · still open
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About the Role
As a graduate, you will have opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth within ByteDance's Global Engineering CDN team. This team builds and operates a highly available, cost-efficient, and high-performance global multi-cloud CDN platform that powers large-scale products such as TikTok.
Key Responsibilities
- Participate in the development and improvement of the global Multi-Cloud CDN data platform.
- Build and maintain data pipelines, data models, dashboards, and data quality mechanisms for CDN traffic, performance, cost, resource usage, and vendor-related data.
- Support data needs for CDN product operations, business analysis, cost optimization, and platform governance.
- Develop data products and visualization tools to improve visibility into CDN usage, cost structure, service quality, and operational efficiency.
- Help improve the stability, accuracy, timeliness, and scalability of CDN data systems.
Requirements & Tech Stack
Minimum Qualifications:
- Individuals who are completing or have recently completed a Master's degree in Computer Science, Software Engineering, Data Science, Electronic Engineering, Statistics, Applied Mathematics or a related discipline.
- Familiar with at least one programming language such as Python, Go, Java, or Scala.
- Solid foundation in data structures, databases, operating systems, and basic distributed systems concepts.
- Familiar with SQL and basic data processing concepts.
- Strong analytical thinking, problem-solving skills, and sensitivity to data quality.
Preferred Qualifications:
- Experience with data modeling, ETL, data pipelines, data quality systems, or data visualization is a plus.
- Experience with big data technologies such as Spark, Flink, Hive, Kafka, ClickHouse, Doris, or similar systems is a plus.
- Experience with backend development, metrics systems, BI dashboards, or cost analysis is a plus.
- Interest in CDN, cloud infrastructure, network data, business analytics, or cost optimization is a plus.