G
G2Ivia Ashby
Data Engineer - Overlap with European time zone!
REMOTEPosted 3mo ago
Data EngineerMid LevelFull-time
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About the Role
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
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
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