GoFasti

1174 - Data Engineer

GoFasti $36K–$48K/yr

IT Services and IT Consulting · 51-200 employees

5 h ago
Remote data-engineer Mid (2-5 yrs) Contractor Full-time
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About the role

Architect and maintain robust data ingestion pipelines while designing layered tables to transform raw data into analytics-ready formats. Collaborate with product teams to define technical criteria and ensure data foundation reliability through testing and monitoring.

What they look for

Data Engineering SQL Python Node.js TypeScript Snowflake AWS Airflow Dagster Step Functions Data Pipelines Data Modeling CI/CD AI-native development Communication skills

Requirements

Requires mid-to-senior level experience in designing end-to-end production data pipelines using cloud data warehouses and workflow orchestrators. Candidates must possess strong SQL and Python or Node.js skills, along with proficiency in AI-native development tools.

Full description

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:

  • Work closely with product teams to help define and execute technical criteria
  • Architect and maintain robust data ingestion pipelines that feed both our application and analytics
  • Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data
  • Help onboard client data from a variety of sources, such as Databricks via Delta Sharing, and integrate it with our existing services and workflows
  • Make pipelines reliable and automated: data quality tests, monitoring, safe reprocessing and schema change handling
  • Build a documented, well-tested data foundation that serves the app, analytics and future AI use cases

Requirements:

  • Mid-to-senior data engineer who has owned the design of production data pipelines end to end, working as an autonomous IC
  • 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)
  • Production experience with a cloud data warehouse (Snowflake preferred)
  • Strong SQL, plus production experience in Python (preferred) or Node.js/TypeScript
  • AWS or another enterprise cloud platform
  • 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
  • Strong English and communication skills

It's a plus:

  • dbt
  • Preparing data for AI/LLM use (e.g. semantic layers, metadata, retrieval-ready datasets)
  • Infrastructure as code (e.g. Terraform)
  • Exposure to energy, utilities or sustainability data

Compensation:

  • The salary range offered for this position varies from (USD) $3,000 - $4,000 per month, depending on seniority and skillset.
  • This is a 40 hours per week.
  • This position is for a full time contract, through a payroll platform.
  • 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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