Deloitte AI & Engineering team seeks a Full Stack Data Engineer to design and build scalable data solutions and AI/ML workflows, transforming technology platforms, driving innovation, and helping clients improve financial performance, accelerate digital ventures, and fuel growth.
Requirements
- 4+ years in AI/ML initiatives with workflow integration experience.
- 4+ years in cloud platforms (AWS, Azure, GCP) including deployment and optimization.
- 4+ years in front-end (React, Angular) and back-end (Python, Node.js) development.
- Experience deploying AI models and data pipelines in production.
- Familiar with modular data platforms and enterprise integration tools.
- Hands-on experience with Palantir's Maven Smart System.
Responsibilities
- Architect and implement end-to-end data pipelines and AI/ML workflows.
- Develop secure, maintainable full-stack applications to support data and analytics needs.
- Design and maintain front-end (e.g., React, Angular) and back-end (e.g., Python, Node.js) components.
- Integrate cloud services (AWS, Azure, GCP) into scalable data and AI solutions.
- Promote best practices in architecture, coding standards, testing, and deployment.
- Drive cross-functional collaboration for deploying advanced data and AI capabilities.
- Monitor and optimize existing solutions for performance and cost-efficiency.
Other
- Active Top Secret with SCI eligibility security clearance required
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Ability to work full time onsite in Honolulu.
- 2+ years leading strategic planning and cross-functional teams.
- Strong technical expertise paired with clear communication to deliver high-quality solutions and support team development.
