This is a full-time opportunity for a Senior Data Engineer from LATAM.

Only accepting applicants from LATAM. In-person verification will be conducted.

We are looking for a senior Data Engineer to join our BI team and take an active role in designing, building, and maintaining the end-to-end data pipeline, architecture and design that powers our warehouse, LLM-driven applications, and AI-based BI.

Responsibilities:
- Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services.
- Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns.
- Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights.
- Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces.




- Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows.
- Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions.
- Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines.
- Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations.

Requirements:
- 8+ years of experience as a Data Engineer.

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Demonstrated experience in utilizing Python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing.

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Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion.

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Experience designing complex data pipe

📌 Senior Data Engineer (Santiago)
🏢 IDT
📍 Santiago