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