Google Data Engineering Consultant

Join Deloitte's AI & Engineering team to help clients modernize technology platforms, accelerate innovation, and drive meaningful business outcomes. In this role, you will work alongside multidisciplinary professionals to design and deliver modern data solutions that support enterprise transformation. You will help build scalable platforms, analytics products, and data pipelines that enable mission-focused results and measurable client impact.

Work you'll do

Build and support cloud-based data and artificial intelligence solutions on Google Cloud Platform (GCP) for mission-driven client environments. The Data Engineer II will help design, develop, test, and deploy data pipelines, platform components, and AI-enabled solutions that are scalable, secure, and reliable. This role works with engineers, data scientists, and business stakeholders to translate requirements into technical solutions and support ongoing platform performance and optimization.

As a Data Engineer II on the Government & Public Services team, you will be responsible for:

• Support the development, testing, and deployment of applications and data pipelines on Google Cloud Platform
• Configure and maintain GCP services including BigQuery, Cloud Storage, Vertex AI, Cloud Run, and Compute Engine
• Assist with data preparation, feature engineering, model testing, and model evaluation activities
• Monitor solution performance, troubleshoot production issues, and support optimization efforts
• Document technical designs, implementation steps, and operational processes while collaborating with cross-functional teams to translate business requirements into technical solutions

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field
• 2+ years of experience in cloud engineering, software engineering, data engineering, or machine learning engineering
• 2+ years of experience using Python, Java, or SQL
• 2+ years of experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Vertex AI, Cloud Run, or Compute Engine
• 2+ years of experience with data pipelines, extract transform load processes, or structured data processing
• Ability to obtain and maintain a government security clearance
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

• Google certifications preferred
• Experience with Vertex AI, application programming interfaces, or machine learning operations concepts
• Experience with Git
• Experience with Docker
• Google Cloud certification such as Associate Cloud Engineer
• Experience gained through internships, academic projects, or coursework using Google Cloud Platform