Data Engineer – Overlap with European time zone!

G2i

📍 Ubicación
Remote

💼 Tipo de Trabajo
FullTime

📂 Categoría
On-demand (contracts) – On-demand (contracts)

📋 Descripción del Trabajo

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

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