Data Engineer (AI / Analytics Pipeline)

We are passionate about what we do and we strive to be better with each day that goes by.

We want to contribute to the generation of a technological community powered by the conviction that, through small actions, we can help create a better world.

The Role :

We are looking for 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

API & Serverless Backend Integration

Requirements :

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