Data Engineer

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🕒 April 28

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G2i Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎯 Recruiter

🏢 Enterprise

☁️ SaaS

Recruitment • Enterprise • SaaS

G2i Inc. is a video-based platform specializing in the hiring of contract or full-time engineers. With a vast pool of over 8,000 engineers, G2i offers quality matches quickly by customizing its sourcing process based on client needs. They provide a 7-day free trial to engage potential hires before making a commitment. The platform emphasizes speed and quality, utilizing video assessments and AI training to ensure engineers meet specific technical standards. G2i handles compliance, international payments, and background checks, providing a streamlined hiring process for companies looking to hire in the US, Canada, Latin America, or Europe. By focusing on technical roles such as JavaScript, Python, iOS, Android, and AI engineers, G2i ensures companies can hire top talent efficiently.

📋 Description

• 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 • 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

🏖️ Benefits

• 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