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Data Engineer - Overlap with European time zone!

$62 per hour

G2i Inc.

Data Engineer (Remote)

Rate: Up to $62/hour Location: Remote (Europe or LatAm) Timezone: Must overlap with European hours and partially with Asian timezones

Overview

We're looking for an experienced Data Engineer to take full ownership of a production data layer powering internal tools and systems.

This is a hands-on role for someone who can design, build, and operate reliable data pipelines end-to-end — from ingestion to serving — with a strong focus on correctness, observability, and long-term scalability.

You'll work closely with a small, high-impact engineering team and operate with a high level of autonomy.

What You'll Do
  • Own the data stack end-to-end: ingestion → transformation → modeling → serving → monitoring
  • Build and maintain ETL/ELT pipelines from APIs, webhooks, and operational systems
  • Design resilient data models that handle evolving and imperfect source systems
  • Implement monitoring and alerting for data quality, freshness, and pipeline failures
  • Ensure high reliability and observability across the data layer
  • Lead improvements, migrations, and infrastructure decisions
  • Collaborate with engineering leadership on architecture, including modern data access patterns
What We're Looking For
  • Strong experience building and operating production-grade data systems
  • Solid fundamentals in data modeling and pipeline design
  • Ability to work autonomously and take ownership of a domain
  • High attention to detail and commitment to data accuracy
  • Strong communication skills in async, distributed environments
  • Comfortable working in fast-moving, ambiguous environments
Nice to Have
  • Experience building internal tools or reusable data systems
  • Familiarity with modern/experimental data patterns (e.g., real-time or agent-driven data workflows)
  • Interest in working close to product and infrastructure layers
What This Role Offers
  • High ownership and autonomy over the data domain
  • Opportunity to build and scale systems from early stages
  • Exposure to modern data and AI-driven workflows
  • Remote-first environment with a small, high-performing team
Not a Fit If
  • You prefer highly structured environments with heavy oversight
  • You're uncomfortable owning production systems end-to-end
  • You prefer narrowly scoped roles over broad technical ownership
Vacancy posted 3 hours ago
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