Cloud Data Engineer

Cloud Data Engineer

We are looking for a Cloud Data Engineer based in Latin America to work on a long-term project for one of our clients, a Data Analytics and Business Intelligence services company based in Los Angeles.

Responsibilities

• Design and build multi-modal data ingestion pipelines to collect and structure data from relational databases and unstructured sources such as PDFs, Word documents, and PNG/SVG diagrams.
• Develop and optimize the knowledge layer, managing embeddings in vector databases (e.g., Pinecone, ChromaDB, Vertex AI Search) and graph databases (e.g., Neo4j) to enable multi-step agent reasoning across distributed data sources.
• Integrate autonomous coding agents into daily development workflows to plan, generate, and refactor data infrastructure and microservices.
• Collaborate with AI Engineers to design and maintain evaluation pipelines and gold datasets used for automated verification, retrieval quality measurement, and confidence scoring of AI outputs.
• Develop and maintain scalable data services and RESTful APIs using Python (FastAPI/Django) to expose structured and validated data.
• Deploy, monitor, and optimize data workloads on GCP using services such as Vertex AI and BigQuery, ensuring system reliability, security, and cost efficiency.

Requirements

• Advanced level of English.
• 5+ years of Data Engineering experience, with a proven track record of building production-grade AI data systems.
• 4+ years of experience working with Python and strong experience working with frameworks and libraries such as FastAPI, Pydantic, SQLAlchemy, and SQL for building scalable data services and microservices.
• Hands-on experience working with vector databases such as Pinecone or ChromaDB, and building RAG pipelines and GraphRAG patterns.
• Strong experience working with data orchestration and processing tools such as Apache Airflow, Cloud Composer, or Prefect, as well as BigQuery and DataProc.
• Hands-on experience working with cloud platforms such as GCP or AWS, deploying and managing scalable data pipelines and data workloads.
• Demonstrated experience using AI-assisted development tools such as GitHub Copilot, Cursor, Gemini Code Assist, Claude Code, Codex, or similar autonomous coding agents to accelerate software development workflows.

Bonus Points

• Bachelor's degree in Computer Science, Systems Engineering or related fields

What We Offer

• Long term positions.
• Compensation in USD.
• Paid time off.
• Cool clients and products.
• Work with great engineers.