Data Engineering Intern (AI & Automation)
New
R
Rocket LawyerLegal Services
Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship.InternshipEntry
Salary40 - 50 USD per hour
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Job Details
- Required Skills
- DockerPythonSQLArtificial IntelligenceKubernetesSnowflakeTableauAirflow
Requirements
- Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027
- Pursuing a degree in Computer Science, Data Science, or a related quantitative field
- Expertise in Python
- Expertise in SQL
- Strong understanding of Data Warehousing (Snowflake)
- Strong understanding of ETL orchestration (Airflow)
- Familiarity with CLI
- Familiarity with Docker
- Familiarity with Kubernetes for managing cloud-based environments
- Experience with Jupyter Notebooks
- Experience with Tableau
- Experience with 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
- Build AI-driven data quality checks and anomaly detection
- Develop "self-healing" pipelines that can identify and alert on ingestion errors
- Use Jupyter Notebooks and Streamlit to analyze data and build internal tools for 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
- 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
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