Data Engineering Intern (AI & Automation)

Rocket Lawyer is the largest and most widely used online legal service platform in the world, and they are seeking a Data Engineering Intern to join their team for Summer 2026. This role focuses on building ETL pipelines, implementing AI-driven automation, and generating insights to influence product decisions.

Responsibilities:

• Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow
• Implement AI-powered solutions to streamline engineering tasks, including: Automating code generation and documentation, Building AI-driven data quality checks and anomaly detection, Developing 'self-healing' pipelines that can identify and alert on ingestion errors
• Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions
• Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders
• Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production
• Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes

Requirements:

• Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field
• Expertise in Python and SQL
• A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow)
• Familiarity with CLI, Docker, and Kubernetes for managing cloud-based environments
• Experience with Jupyter Notebooks, Tableau, or Streamlit
• A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability