CDN Data Engineering Intern - Build Pipelines & Dashboards

Bytedance

San Jose, Northern (CA, KY)

Hybrid

USD 28,000 - 48,000

Part time

7 days ago
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Job summary

ByteDance in San Jose offers a Technology team internship focused on data engineering for the global Multi-Cloud CDN platform. You will participate in building data pipelines, models, dashboards, and data quality mechanisms to monitor CDN traffic, performance, and cost.

As an intern, you will support CDN product operations, cost optimization, and platform governance, while developing data products and visualization tools to improve visibility and efficiency.

Qualifications

  • Pursuing a Bachelor's degree in a related field.
  • Familiar with at least one programming language (Python/Go/Java/Scala).
  • Solid foundation in data structures, databases, OS, and distributed systems concepts.
  • Familiar with SQL and basic data processing concepts.
  • Strong analytical thinking and data quality awareness.

Responsibilities

  • Participate in developing and improving the global Multi-Cloud CDN data platform.
  • Build and maintain data pipelines, data models, dashboards, and data quality mechanisms for CDN data.
  • Support data needs for CDN product operations, business analysis, cost optimization, and governance.
  • Develop data products and visualization tools to improve visibility into CDN usage, cost, and service quality.
  • Help improve stability, accuracy, timeliness, and scalability of CDN data systems.

Skills

Python
Go
Java
Scala
SQL

Education

Bachelor's Degree (CS/SE/Data Science/EE/Statistics/Applied Mathematics)

Tools

Spark
Flink
Hive
Kafka
ClickHouse
Doris

Job description

ByteDance in San Jose offers a Technology team internship focused on data engineering for the global Multi-Cloud CDN platform. You will participate in building data pipelines, models, dashboards, and data quality mechanisms to monitor CDN traffic, performance, and cost.

As an intern, you will support CDN product operations, cost optimization, and platform governance, while developing data products and visualization tools to improve visibility and efficiency.

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