Data Engineering Intern (AI & Automation)

Rocket Lawyer • Colorado Springs, CO

1d • Remote

About The Position

We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it’s about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create. Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows.

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.

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, and 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.

Benefits

• Compensation per hour by location: San Francisco Bay Area, CA: $50.00, California (outside of San Francisco Bay Area): $46.25, Colorado: $42.50, Utah, Arizona, and North Carolina: $40.00
• Actual compensation packages are determined by various factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, specific work location, and performance during the interview process.
• In addition to base salary, this role may include variable compensation and be eligible for an equity grant, depending on the position and level.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 101-250 employees