1174 - Data Engineer
GoFasti · Remote · posted Oct 20, 2026
Open to candidates in 26 countries
Argentina, Belize, Bolivia, Brazil, Chile, Colombia, Costa Rica, Cuba, Dominican Republic, Ecuador, El Salvador, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Suriname, Trinidad and Tobago, Uruguay, Venezuela
More remote jobs open to candidates in Brazil, Colombia, Mexico and Argentina
You apply on the company's own site. We never charge to apply.
What this role actually asks for
Extracted by RemoteHuntMust have
- •Design and build production data pipelines
- •Cloud data warehouse experience (Snowflake preferred)
- •Strong SQL
- •Production experience in Python or Node.js/TypeScript
- •AWS or enterprise cloud platform
- •AI-native development experience
- •Strong English and communication skills
Nice to have
- •dbt
- •Preparing data for AI/LLM use
- •Infrastructure as code (Terraform)
- •Exposure to energy, utilities or sustainability data
Tools and technologies
Languages required
The full posting
We Make Remote Work Remarkable • TopTalent from LatAm
Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.
We need an English-fluent Mid Level Data Engineer , based in Latin America, available to work remotely.
We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.
Are you the one we are looking for?
Responsibilities:
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Work closely with product teams to help define and execute technical criteria
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Architect and maintain robust data ingestion pipelines that feed both our application and analytics
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Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data
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Help onboard client data from a variety of sources, such as Databricks via Delta Sharing, and integrate it with our existing services and workflows
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Make pipelines reliable and automated: data quality tests, monitoring, safe reprocessing and schema change handling
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Build a documented, well-tested data foundation that serves the app, analytics and future AI use cases
Requirements:
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Mid-to-senior data engineer who has owned the design of production data pipelines end to end, working as an autonomous IC
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Designing and building production ingestion pipelines from APIs, files and shared-data sources, using a workflow orchestrator (any tool, e.g. Airflow, Dagster or Step Functions)
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Production experience with a cloud data warehouse (Snowflake preferred)
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Strong SQL, plus production experience in Python (preferred) or Node.js/TypeScript
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AWS or another enterprise cloud platform
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AI-native development: daily use of agentic AI coding tools, and experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD
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Strong English and communication skills
It's a plus:
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dbt
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Preparing data for AI/LLM use (e.g. semantic layers, metadata, retrieval-ready datasets)
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Infrastructure as code (e.g. Terraform)
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Exposure to energy, utilities or sustainability data
Compensation:
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The salary range offered for this position varies from (USD) $3,000 - $4,000 per month, depending on seniority and skillset.
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This is a 40 hours per week.
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This position is for a full time contract, through a payroll platform.
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The talent will work remotely allocated at our client.
Here are the steps for this process:
TBD > Application review/approval > Screening interview with GoFasti's team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.
Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.
Note for Candidates Approached Directly: If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.
Thank you!
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