[Hiring] Data Intern @Ready

Role Description

We're looking for a Geospatial Data Engineering Intern to help build and scale our geospatial data infrastructure over the summer. This role is designed for a junior or senior undergraduate with at least one prior internship under their belt, strong data engineering instincts, and the team awareness to ship work in a shared production codebase. You'll get hands-on experience building pipelines that ingest, transform, and serve geospatial data with exposure to AI agent tooling along the way. This role begins as a full-time, 3-month summer internship and then continues part-time through September.

You'll work directly with our data team, contributing to operational infrastructure that powers geospatial analysis and decision-making across the organization. Your primary focus will be building reliable, well-documented data pipelines with a geospatial backbone, while getting meaningful exposure to applied AI systems and helping us complete an in-flight migration from Airflow 2 to Airflow 3.

Qualifications

• Currently a junior or senior undergraduate (or higher) in Computer Science, Data Science, GIS, Geospatial Engineering, Software Engineering, or a related field
• At least one prior internship (or equivalent team-based engineering experience); you've shipped code in a shared repo, taken a code review, and worked a ticket end-to-end
• Available to work full-time for 3 months during the summer, then part-time through the fall semester

Requirements

• Strong fundamentals in Python, including classes, inheritance, decorators, type hints, and explicit imports
• Strong fundamentals in SQL: joins, CTEs, window functions, and aggregations
• Comfortable working in Git/GitHub with a dev → main PR-to-deploy workflow
• Comfortable on the Unix command line or eager to learn (bash, navigating a filesystem, running scripts)
• Familiarity with geospatial concepts (CRS, spatial joins, indexing) and tooling such as PostGIS, GeoPandas, or QGIS is a plus
• Exposure to AWS or similar cloud providers; ideally S3, IAM, Athena, Glue, ECS, or Redshift
• Experience with Airflow or similar orchestration tools is a plus (or strong eagerness to learn quickly)
• Familiarity with dbt, Pandas, or Parquet/columnar data is a plus
• Exposure to AI agent architectures (e.g., ReAct) and protocols (A2A, MCP, AG-UI) is a plus

Benefits

• Competitive hourly wage - $35-$40 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 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.
• 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