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Data Engineer – AI & Analytics Pipeline at Wakapi. Location Information: M5500EPH, Argentina. . The Role:. We are seeking a motivated and intellectually curious . Data Engineer. to join our growing . Data Science and Solutions. team. This role is ideal for someone passionate about AI, data integration, and building modern data infrastructure. You will play a key role in scaling and optimizing our AI and analytics platform by developing robust, secure, and scalable data . pipelines. in . Databricks on AWS. .. You’ll collaborate closely with AI/ML experts, backend and frontend engineers, and product stakeholders to transform data into impactful insights and intelligent user experiences. If you're eager to work in a dynamic, remote-first environment where your contributions directly influence real-world outcomes, we want to hear from you.. . . Responsibilities:. Data Pipeline Development. - Design, build, and maintain . ETL. /ELT pipelines in . Databricks. to ingest, clean, and transform data from a variety of sources.. - Develop . gold layer tables. in a Lakehouse architecture to support machine learning models and real-time APIs.. - Monitor data quality, lineage, and reliability leveraging Databricks best practices and observability tools.. . AI-Driven Data Access Enablement. - Collaborate with AI/ML teams to structure and model data for natural language prompts, semantic retrieval, and vector search using Unity Catalog metadata.. - Contribute to the development of data interfaces and agent tools for secure, role-based access to structured and unstructured data.. . API & Serverless Backend Integration. - Partner with backend engineers to create . serverless APIs. (e.g., AWS Lambda + TypeScript) that expose curated data for front-end applications.. - Implement scalable, secure, and performant APIs with a strong focus on data governance and compliance.. - Develop infrastructure-as-code and monitoring frameworks to support multi-tenant scaling of pipelines and AI endpoints.. . . Requirements:. . 3+ years. of experience as a Data Engineer or similar role in agile, distributed environments.. . Hands-on expertise with . Databricks. , including workflow orchestration, CDC, and medallion architecture.. . Strong skills in . Spark. or . Scala. for data wrangling and transformation across complex datasets.. . Experience with . CI/CD pipelines. , test-driven development, and understanding of . MLOps. /AIOps. best practices.. . Proven ability to collaborate effectively with cross-functional teams, including product managers, engineers, and data scientists.. . Preferred Skills. Experience with . AWS Lambda. (Node.js/TypeScript) and . API Gateway. or other serverless frameworks.. Understanding of . API design principles. and familiarity with RESTful and/or GraphQL endpoints.. Exposure to . React-based frontend architectures. and awareness of how backend data delivery impacts UI/UX performance.. Experience with . A/B testing. , experimentation frameworks, and logging for model inference and user analytics.. . . C - NV - 28072025. Wakapi Web. .