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