Intern - Data Engineer

We are seeking a curious, motivated Data Engineer Intern to support the design, development, and optimization of modern data platforms that power analytics, experimentation, and emerging AI-driven workflows. This internship provides hands-on exposure to cloud data ecosystems such as Databricks, Snowflake, AWS, Azure, and GCP, with opportunities to contribute to real-world ETL/ELT pipelines, data transformations, and AI agent–enabled use cases.

Internship details

The internship will begin January 11th, 2027 20-25 hours/week work dedication during the semester and up to 40/week during breaks Anticipated graduation date between May 2027 - December 2027 Position Highlights We are seeking a curious, motivated Data Engineer Intern to support the design, development, and optimization of modern data platforms that power analytics, experimentation, and emerging AI-driven workflows. This internship provides hands-on exposure to cloud data ecosystems such as Databricks, Snowflake, AWS, Azure, and GCP, with opportunities to contribute to real-world ETL/ELT pipelines, data transformations, and AI agent–enabled use cases. As an intern, you will work closely with experienced data engineers, analytics teams, and AI practitioners to learn how reliable data foundations enable intelligent agents, automation, and data-driven decision-making—while gaining practical experience in scalable, privacy-aware data engineering.

Key Responsibilities

Assist in building and maintaining batch and streaming data pipelines using tools such as Spark, Databricks, Snowflake, and cloud-native services. Support the development of ETL/ELT workflows using orchestration tools like Apache Airflow, dbt, or managed cloud schedulers. Help ingest structured and semi-structured data from sources such as S3, ADLS, GCS, APIs, or Kafka into raw and curated data layers. Write and maintain SQL and Python-based transformations for cleaning, joining, and aggregating datasets. Participate in implementing data qua