Senior Data Engineer – Redshift
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…
Moving data between systems — scraping, API integration, transformation and scheduled pipelines.
Listings updated 2026-08-26. Jobs on goLance stay open for about 30 days.
Showing 16 of 16 open listings, newest first.
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…
Remote, Philippines. Full-time, Monday–Friday 8 AM–5 PM PST. The Operations Data Validation & Reconciliation Specialist works under general supervision to safeguard the accuracy and…
Remote, Brazil. Full-time. This role offers the opportunity to design and build modern data solutions that support strategic decisions for organisations across different industries. You…
Remote, Brazil. Contract, long-term. Seeking a Data Engineer with hands-on experience implementing solutions within Microsoft Fabric environments. The client is a mature Microsoft-based…
Remote, Brazil. Full-time, 12-month project. Accountabilities Develop data models and analytical solutions to support capacity planning, observability, and artificial intelligence…
Remote, Argentina. Full-time, contractor. Monday to Friday, 9:00 AM to 6:00 PM. Responsibilities Design and build data architecture components in Microsoft Azure and Microsoft Fabric (data…
Remote, Philippines. Contract, full-time, flexible independent contractor. What You'll Do Record high-quality first-person videos using your iPhone and a headset. Perform everyday…
Remote, Latin America. Contract, full-time. U.S.-overlapping hours required. You'll join a fast-growing digital health platform's data team as a full-time contractor, building the pipelines…
Remote, Colombia. Full-time. About the Role We are seeking a talented and motivated, best-in-class Principal Engineer for our Data Infrastructure. This role presents an exciting opportunity…
Remote, LATAM (Mexico, Brazil, Argentina, Colombia, Chile, or Peru). Full-time. This role leads the strategic development and optimization of clinical data systems to support regulatory…
Remote, LATAM (Mexico, Brazil, Argentina, Colombia, Chile, or Peru). Full-time. Leading the development and optimization of clinical data systems for a new regional function, this role…
Remote, LATAM. Contract, full-time (32–40 hours/week). Full Mountain Time working-hours overlap required. Our client is expanding its modern data and analytics capabilities and is seeking a…
Remote, Philippines. Full-time, reporting 9:00AM–6:00PM UK Time Zone. Role supporting a UK-based sustainability consultancy in carbon accounting, data cleaning, and operational reporting…
Remote, Latin America. Full-time, permanent. We are looking for a Senior Data Engineer to design, scale, and own the data platforms that power a fast-growing private-market intelligence…
Remote, Peru. Full-time contractor. This role is part of a digital transformation project for a leading regional bank. You will collaborate on the modernization of digital channels…
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.
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