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