Moving data between systems — scraping, API integration, transformation and scheduled pipelines.
Listings updated 2026-09-16. Jobs on goLance stay open for about 30 days.
Showing 9 of 9 open listings, newest first.
Remote, Philippines. Full-time, Independent Contractor. Role Overview Drive the business's advancement in the analytics environment, supporting the General Manager, Head of Business…
Remote, LATAM. Contract, full-time. 90-day contract with extension possible. Compensation paid in USD. Advanced English required (written and spoken). What You'll Do Design, optimize, and…
Remote, Latin America. Full-time. What We Are Looking For 4+ years of professional experience in Data Engineering. Advanced English is required. Successful completion of a four-year college…
Remote, Latin America. Full-time, contract. What We Are Looking For 4+ years of professional experience in Data Engineering. Advanced English is required. Successful completion of a…
Remote, Guatemala. Full-time, permanent contract. Responsibilities Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing. Improve and…
Remote, Costa Rica. Full-time. We are seeking an experienced Data Engineer / BI Developer to join a team working across active client projects to design and implement data pipelines…
Remote, Chile. Full-time. The Data Engineer exists to transform raw data into reliable and strategic data assets. The mission is to contribute to data ingestion and data quality on the…
Remote, Guatemala. Full-time. Native Spanish and fluent English — both languages are required. We're looking for a Senior Data Engineer with strong Amazon Redshift expertise to join a…
Remote, Philippines. Full-time. About the Role As an Analyst Services Manager, you will lead one of the core operational teams responsible for delivering accurate, timely investment data to…
The most common briefs are extraction and ETL: scraping, API pulls, and moving data between systems on a schedule. Beyond that, expect dashboard and reporting builds, data cleaning, and a smaller set of machine learning engagements.
Be concrete about sources and destinations — which systems you pull from, which warehouse or BI tool you deliver into. Clients here describe problems in terms of their stack, so mirroring that language matters.
No. Data extraction and ETL is by some margin the largest subcategory; ML briefs exist but are a minority.
Dashboard work generally lands in mainstream BI and spreadsheet tooling. State which you build in.
Usually they supply access rather than clean data — a good part of the engagement is often making it usable.
Create a free profile and apply to open roles with the lowest fees in the industry.
Create your free profile
.svg)
.png)
