Data Engineer - Overlap with European time zone!

Data Engineer (Remote)

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**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