Data Engineer – Overlap with European time zone!
G2i
📋 Descripción del Trabajo
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