Join Deloitte’s Government & Public Services (GPS) practice as a Consultant, Data Engineering and help deliver data solutions that support mission-driven outcomes. In this role, you will contribute to the design, build, and execution of data engineering and conversion solutions for government clients. You will work across data migration, integration, and validation activities to help clients modernize platforms and scale their data capabilities within Deloitte’s US Delivery Center model.

Work you'll do

As a Delivery Consultant, Data Engineering GenAI on the AI & Data team, you will be responsible for…

• Designing, building, testing, and maintaining data pipelines and data integration workflows
• Supporting the development and deployment of cloud-based data engineering solutions for analytics and artificial intelligence use cases
• Preparing, transforming, and validating structured and unstructured data for downstream reporting, modeling, and operational use
• Collaborating with cross-functional teams to troubleshoot issues, improve data quality, and optimize platform performance
• Documenting technical designs, development activities, and production support procedures in alignment with project standards

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.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte’s scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required:

• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Data Science, Mathematics, or Engineering
• 3+ years of experience designing, building, and supporting data pipelines and data integration solutions
• 3+ years of experience with Python and Structured Query Language
• 2+ years of experience with cloud-based data engineering tools or platforms
• 1+ year of experience supporting artificial intelligence or generative artificial intelligence data use cases
• 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.
• Must be able to obtain and maintain the required clearance for this role

Preferred:

• Experience with Amazon Web Services, Microsoft Azure, or Google Cloud Platform
• Experience with Agentic AI development
• Experience with Apache Spark, Databricks, or distributed data processing frameworks
• Experience supporting large language model, vector database, or retrieval-augmented generation implementations
• Experience serving government or public sector clients