Data Engineer - Overlap with European time zone! at G2i

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