Software Engineer Intern, Data Engineering (2026 Graduates Only)

What You’ll Work On

• Assist in designing and developing data pipelines for real-time and batch processing.
• Support integration of external data sources (e.g., APIs, S3 transfers, Kafka streams).
• Contribute to building ETLs using technologies like Spark, Airflow, Databricks, and AWS services.
• Help maintain Hive and Redshift tables, data workflows, and internal dashboards.
• Write clean, modular code in Python, Scala, or Ruby.
• Collaborate with cross-functional teams to understand data requirements.
• Gain experience working with large-scale datasets (terabytes to petabytes).
• Assist in monitoring and troubleshooting data pipeline issues.
  

What We’re Looking For

• Currently pursuing a Bachelor’s in Computer Science, Engineering, Data Science, or a
• related field.
• Strong understanding of programming fundamentals (Python/Scala preferred), Computer fundamentals(Data structures, Algorithms)
• Basic knowledge of SQL and working with databases.
• Familiarity (even academic exposure) with Big Data concepts — Spark, Hadoop, Kafka, cloud services, etc.
• Interest in building scalable data systems and solving data problems.
• Good problem-solving skills and attention to detail.
• Willingness to learn, ask questions, and work in a collaborative environment.
  

Bonus Skills (Nice To Have)

• Experience with Google Apps Script, Databricks, or API integrations.
• Exposure to AWS technologies like S3, EMR, Lambda.
• Coursework/projects involving Big Data tools (Spark, Hadoop, Kafka).
  

What You’ll Gain

• Hands-on experience with cutting-edge Big Data technologies.
• Mentorship from experienced Data Engineers.
• Opportunity to work on real business-critical data systems.
• Insight into how large-scale data organizations operate.