Data Intern

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Entry From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Intern Remote 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. About your role at Ready ⚡️ You'll spend the majority of your time on geospatial data engineering, with supporting work in geospatial analysis and applied AI. Geospatial Data Engineering (Primary Focus) - Build and improve Airflow ELT pipelines that ingest, transform, and serve geospatial datasets at scale, working across both our Airflow 2 and Airflow 3 repositories and actively assisting with the Airflow 2 to 3 migration, including porting DAGs, validating parity, and helping retire legacy pipelines - Write clean, type-hinted Python and well-structured SQL, including geospatial operations (PostGIS, spatial joins, CRS management) against Athena (Trino), PostgreSQL, Redshift and duckdb

Read the full description at jobs.ashbyhq.com. FewerJobs shows a preview and links to the original posting.