Data Engineer - Overlap with European time zone!

🌐 GlobalRemote

Posted Apr 28, 2026

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