Staff Data Engineer

Job Summary

In this versatile role, you will drive impact across both data engineering and AI domains:

• Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users.
• Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies.
• Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations.
• Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents-such as conversational systems that allow users to query massive datasets using natural language-to improve their accuracy, efficiency, and reliability.
• Act as an internal consultant across enterprise functions including Go-to-Market, Product, Marketing, Finance, and Operations. You'll translate business challenges into data engineering and AI use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner.

Required Experience

• Experience building and optimizing clean, well-structured analytical datasets for business and AI use cases. This includes implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics.
• Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI.
• Prior experience developing dashboards in Tableau/Looker or similar data viz platform.
• Expert-level programming skills in Python
• A solid command of SQL for complex querying and data manipulation.
• Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion.

Preferred Qualifications

• Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.
• Experience in evaluating and optimizing the performance of AI systems or agents

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.