Data Engineer - Overlap with European time zone!

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