Data Engineer (AI)

TL;DR

Data Engineer (AI): Designing and building scalable data pipelines and modern ingestion frameworks with an accent on API-based ingestion, event-driven architectures, and AI data capabilities. Focus on developing embedding pipelines and vector database integrations to support next-generation analytics and AI use cases.

Location: Remote (Argentina)

Company

A leading web technology company serving nearly seven million customers globally through a diverse portfolio of web services brands.

What you will do

• Design and develop scalable data pipeline architectures for batch and real-time processing.
• Build and maintain API-based ingestion frameworks and event-driven data streams.
• Develop robust Python-based data processing workflows and integrate data from multiple sources.
• Implement and optimize data models and transformations for downstream consumption.
• Build AI-ready data infrastructure, including embedding pipelines and vector database integrations.
• Collaborate with analytics, BI, and AI teams to ensure data accessibility and reliability.

Requirements

• Strong experience with Python for data engineering.
• Hands-on experience designing batch and/or streaming data pipelines.
• Experience with API integrations and ingestion frameworks.
• Strong SQL skills and deep understanding of data warehousing concepts.
• Experience with cloud-based data platforms such as OCI, AWS, or GCP.
• Must be based in Argentina.

Culture & Benefits

• Flexible work environment options: work-from-home, hybrid, or office.
• Comprehensive health care (OSDE 310) and annual bonuses.
• Monthly salary reviews and referral program bonuses.
• Tuition and internet reimbursement.
• Professional development via in-company English lessons and LinkedIn Learning.
• Additional paid time off (F5 extra days off).