Full-stack Engineer

• Design, build, and maintain robust, scalable data pipelines.
• Perform data research to identify data sources within the ecosystem and apply enrichments to formulate meaningful data points.
• Implement, optimize and maintain scheduled jobs, batch processors and real-time data ingestion pipelines.
• Implement event-driven architecture to react to events.
• Optimize and fine-tune database performance to ensure it can support big data with ideal response times.
• Design data schemas that can evolve over time and align with strategic goals.
• Design, Implement and optimize microservices to expose the data to consuming applications.
• Design caching and data management practices to improve the performance.
• Ensure the data architecture supports the business requirements.
• Explore new opportunities for data acquisition and enhance data collection procedures.
• Explore and identify appropriate segmentation strategies to support RAG implementations.
• Demonstrate a commitment to learning and adopting emerging technologies, with a particular focus on agentic AI development.

Lead Software Engineer – Data Development for AI Applications

Software Engineer – Technical Lead

Lead Software Engineer, Full-Stack

Software Engineer III

Software Engineer II

Senior Software Engineer