Data Engineer - Overlap with European time zone!
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G2i · WorldwidePrepare for this interview
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About the role
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.
Responsibilities
- 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
Requirements
- 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
- 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
Benefits
Additional Information
Data Engineer (Remote) Rate: Up to $62/hour Location: Remote (Europe or LatAm) Timezone: Must overlap with European hours and partially with Asian timezones
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Company Intel
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