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Design and build scalable full stack applications, integrate AI-driven workflows, develop REST APIs, and mentor junior engineers while ensuring high engineering standards and system reliability.

The Data Modeler designs and maintains the Common Data Model and source-to-target mappings for healthcare data assets, working closely with engineers and clinical informaticists to ensure accuracy and integrity in data representation.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, focusing on architecture, ingestion, storage, and analytics on GCP. You'll collaborate with stakeholders and optimize data structures for performance while ensuring adherence to data governance and compliance standards.

Design and maintain scalable analytics solutions on Looker BI Platform, optimize data models, develop dashboards, and ensure governance and compliance with data standards.

The Senior Platform Engineer will design and optimize infrastructure for GenAI and LLM workloads, manage GPU resources, and collaborate on deploying AI solutions.

The Senior Architect - Data will lead data engagements on GCP, manage data projects, design scalable data solutions, and mentor team members.

The Engagement Manager leads AI and Generative AI client programs, ensuring project delivery, stakeholder engagement, and account growth while managing technical teams.

The Data Architect is responsible for designing data architecture, leading the creation of the Common Data Model, ensuring standards compliance, and handling high-volume data ingestion while collaborating closely with technical and governance teams.

The Associate Architect - Machine Learning role involves developing cloud ML solutions on AWS, fine-tuning LLMs, and collaborating with teams for optimal model implementation.

Responsible for defining the testing strategy and infrastructure across the platform, including the development of a four-tier test framework and leading load testing campaigns. The role requires collaboration with data engineering teams and establishes QA strategies for data quality and testing frameworks.