Data Intern

Ready • San Francisco, CA

2d • $40 - $45 • Remote

About The Position

We’re looking for a Data Engineering Intern to support our Geospatial and AI Foundations work over a summer internship that transitions into part-time work through September. This role begins as a full-time, 3-month summer internship and then continues part-time through September.
This internship is designed for a graduate-level candidate who wants to bridge geospatial research, production data engineering, and applied AI systems.
You’ll contribute meaningful geospatial analyses, help build and improve production data pipelines, and experiment with AI-driven data access tools. This role plugs directly into the data and platform teams, supporting both research initiatives and operational data infrastructure. Your work will help transform complex geospatial insights into reliable, production-ready data assets used across the organization.
You’ll split your time across three areas: geospatial data science, data engineering, and applied AI systems.
GeoData Science (Core Research Contribution)
Lead research-oriented analyses such as tree canopy classification, slope and terrain analysis, and spatial feature extraction at scale
Design and document reproducible analytical workflows
Translate complex geospatial methods into clear, accessible outputs for non-technical stakeholders
Connect research outputs to production data pipelines
Share learnings on emerging GeoAI methods with the team
Data Engineering (Skill Building with Mentorship)
Build or improve Airflow ELT pipelines with mentorship and clear documentation
Write clean, well-structured SQL and Python pipelines
Develop modular dbt models with semantic layer definitions and documented business logic
Contribute to data quality systems, including schema validation and freshness monitoring
Support DataHub adoption through schema documentation and lineage tracking
Communicate progress through documentation, code reviews, and updates
AI Engineering (Applied Learning)
Build data agents using tools like LangGraph, LangChain, or Bedrock Agent Core
Develop and maintain RAG pipelines for natural-language data access
Iterate on text-to-SQL approaches and document failure modes
Contribute to MCP server development as needed
Evaluate agent outputs and refine prompts based on feedback

Requirements

• Currently pursuing a Master’s or PhD in Computer Science, Data Science, GIS, Geospatial Engineering, or a related field
• Available to work full-time for 3 months during the summer, then part-time through September
• Strong fundamentals in SQL and Python
• Familiarity with core geospatial concepts (CRS, spatial joins, indexing, spatial trees, optimization)
• Familiarity with AI agent architectures (e.g., ReAct) and protocols (A2A, MCP, AG-UI)
• Exposure to non-LLM geospatial deep learning approaches
• Experience with Airflow or similar orchestration tools
• Familiarity with GIS tooling such as PostGIS, GeoPandas, or QGIS
• Interest in AI-assisted developer tooling
• Ability to pair with senior engineers and participate in reviews and documentation
• Strong communication skills to inform progress and blockers early

Responsibilities

• Lead research-oriented analyses such as tree canopy classification, slope and terrain analysis, and spatial feature extraction at scale
• Design and document reproducible analytical workflows
• Translate complex geospatial methods into clear, accessible outputs for non-technical stakeholders
• Connect research outputs to production data pipelines
• Share learnings on emerging GeoAI methods with the team
• Build or improve Airflow ELT pipelines with mentorship and clear documentation
• Write clean, well-structured SQL and Python pipelines
• Develop modular dbt models with semantic layer definitions and documented business logic
• Contribute to data quality systems, including schema validation and freshness monitoring
• Support DataHub adoption through schema documentation and lineage tracking
• Communicate progress through documentation, code reviews, and updates
• Build data agents using tools like LangGraph, LangChain, or Bedrock Agent Core
• Develop and maintain RAG pipelines for natural-language data access
• Iterate on text-to-SQL approaches and document failure modes
• Contribute to MCP server development as needed
• Evaluate agent outputs and refine prompts based on feedback

Benefits

• Competitive hourly wage - $40-$45 per hour
• 100% remote work from home
• Opportunities to learn and grow – all things startups
• A chance to play a role in defining the roadmap as we pursue a bold vision and and a big goal
• Work from (almost) anywhere. Ready is a remote-first company, but for security and compliance reasons, employees are not permitted to work from China (excluding Hong Kong, Macau, and Taiwan), Russia, Iran, or North Korea. These restrictions are in place to protect our systems, data, and intellectual property.
• To get away - we all convene 1-2x a year for [optional, encouraged] retreats
• The charter to realize a market that is set to receive $65 billion in grant funding across the United States

What This Job Offers

• Job Type: Full-time
• Career Level: Intern