Rocket Lawyer→
Data Engineering Intern (AI & Automation) at Rocket Lawyer in Remote
InternshipRemoteRemote$83k–$104k/yr
Skills
pythonsqldata warehousingsnowflakeetl orchestrationairflowclidockerkubernetesjupyter notebookstableaustreamlitai/llms
Job Description
Summary: Rocket Lawyer is the largest and most widely used online legal service platform in the world, dedicated to providing affordable legal services. The Data Engineering Intern will support Business Intelligence efforts and influence the product roadmap by building ETL pipelines and utilizing AI technologies to automate workflows and generate actionable insights.
Responsibilities:
- Build & Orchestrate: Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow
- AI-Driven Automation: 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
- Insight Generation: Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions
- Visualization: Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders
- Agile Collaboration: Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production
- Cloud Infrastructure: Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes
Required Qualifications:
- 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
Required Skills: Python, SQL, Data Warehousing, Snowflake, ETL Orchestration, Airflow, CLI, Docker, Kubernetes, Jupyter Notebooks, Tableau, Streamlit, AI/LLMs
Benefits: May include variable compensation and be eligible for an equity grant, depending on the position and level.
Benefits
May include variable compensation and be eligible for an equity grant, depending on the position and level.