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Data Engineer - Overlap European time zone
Job in
Kenner, Jefferson Parish, Louisiana, 70062, USA
Listed on 2026-06-04
Listing for:
G2i Inc.
Full Time
position Listed on 2026-06-04
Job specializations:
-
Software Development
Data Engineer
Job Description & How to Apply Below
Data Engineer (Remote)
Rate: Up to $62/hour
Location: Remote (Europe or Lat Am)
Timezone: Must overlap with European hours and partially with Asian timezones
OverviewWe’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
- 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
- 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
- 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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