Data Engineer Intern

Overview

About the Role

We are looking for a motivated Data Engineer Intern to join our data platform team and work on real-world batch and streaming data systems. This role is designed for candidates with prior hands-on experience who want to deepen their skills in modern data engineering and large-scale data platforms.
You will work closely with senior engineers on production pipelines and data platforms, gaining exposure to industry-grade tools, architectures, and engineering practices.

Responsibilities

• Build and maintain batch and streaming data pipelines
• Develop data processing applications using Python (primary) and/or Java/Scala
• Work with distributed processing frameworks such as Apache Spark, Flink, or Kafka Streams
• Assist in designing and implementing ETL/ELT workflows
• Contribute to data models for data warehouses and lakehouse architectures
• Participate in code reviews, testing, and operational best practices
• Support performance tuning and pipeline optimization efforts

Required Qualifications

• 1+ year of hands-on experience with:
• Batch processing (e.g., Apache Spark) and/or
• Stream processing (e.g., Apache Flink, Kafka Streams, Structured Streaming)
• Strong programming skills in:
• Python (preferred)
• Java or Scala
• Working knowledge of:
• Distributed data processing concepts
• SQL and basic data modeling
• Ability to write clean, maintainable code
• Strong learning mindset and problem-solving skills