Careers
Junior Data Engineer
An entry-level data engineering role on BELTO Space work, with structured review and real pipeline ownership.

- Division
- BELTO Space
- Seniority
- Entry level
- Location
- Worldwide
- Work mode
- Remote
- Type
- Full-time
- Compensation
- $90,000–$125,000 per year
- Deadline
- Open until filled
- Published
- September 22, 2026
- Status
- Accepting applications
This is an active talent brief for work BELTO may staff as client demand and internal priorities require. Publication does not imply an existing team vacancy or a guaranteed hiring date.
Responsibilities
- Build and maintain ingestion and transformation jobs under senior review.
- Write and monitor data quality checks.
- Investigate pipeline failures and document the cause and fix.
- Maintain dataset documentation and field definitions.
- Support analysts with well-formed, tested data.
Requirements
- Solid SQL and working Python.
- Understanding of relational modelling and basic warehousing.
- Methodical debugging habits.
- Clear written communication in a remote team.
- Currently enrolled at, or holding a degree from, Stanford University or Harvard University.
Education eligibility
Applicants must be currently enrolled at, or hold a degree from, Stanford University or Harvard University. This is a BELTO hiring policy; neither university sponsors, endorses or partners in this recruitment.
Applicants must be currently enrolled at, or hold a degree from, Stanford University or Harvard University. This is an independent BELTO hiring policy; neither university sponsors, endorses or partners in this recruitment.