Intern, Data Engineer

Job Description:

• Support the design, development, and optimization of modern data platforms for analytics, experimentation, and AI-driven workflows
• Assist in building and maintaining batch and streaming data pipelines using Spark, Databricks, Snowflake, and cloud-native services
• Support ETL/ELT workflows using Apache Airflow, dbt, or managed cloud schedulers
• Help ingest structured and semi-structured data from S3, ADLS, GCS, APIs, or Kafka into raw and curated data layers
• Write and maintain SQL and Python transformations for cleaning, joining, and aggregating datasets
• Participate in data quality checks, validation rules, and basic monitoring
• Collaborate with data engineers, analysts, data scientists, and AI practitioners
• Prepare datasets and feature tables for AI/ML pipelines and autonomous agents
• Explore AI-agent interactions with data platforms, including querying data, triggering pipelines, and summarizing results
• Document data flows, schemas, and pipeline logic
• Learn and follow data modeling, governance, and privacy best practices
• Support version control and deployment using Git and basic CI/CD workflows

Requirements:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field
• Basic proficiency in SQL, including simple joins, aggregations, and filtering
• Familiarity with Python for scripting, data manipulation, or coursework projects
• Introductory understanding of ETL/ELT, data lakes, and data warehouses
• Exposure to at least one cloud platform: AWS, Azure, or GCP
• Interest in AI, machine learning, or intelligent systems
• Strong willingness to learn, ask questions, and collaborate in a team environment
• Clear written and verbal communication skills with attention to detail
• Anticipated graduation date between May 2027 and December 2027
• Preferred: project experience with Databricks, Snowflake, or BigQuery
• Preferred: exposure to Apache Spark, dbt, or workflow orchestration tools
• Preferred: familiarity with Parquet, JSON, Avro, or Delta Lake
• Preferred: basic understanding of streaming versus batch processing
• Preferred: coursework or projects involving AI agents, LLMs, or ML pipelines
• Preferred: awareness of data privacy concepts such as PII, GDPR, or CCPA
• Preferred: experience with GitHub or similar version control systems

Benefits:

• Part-time internship schedule: 20–25 hours/week during the semester and up to 40 hours/week during breaks