1174 - Data Engineer
GoFasti
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This role on the market
AWS jobs · Airflow jobs · CI/CD jobs · Data warehousing jobs
GoFasti has 17 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for 1174 roles keep coming back to AWS, Airflow, CI/CD, Data warehousing. Practise those questions before you sit with GoFasti.
Questions you are likely to be asked
- Why do you want to join GoFasti?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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Practise the 1174 - Data Engineer at GoFasti interview free →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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Listed on greenhouse · posted 2026-10-19. ApplySarthi collects openings and links to application pages; the role is advertised by GoFasti, not by us.