Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
Work you'll doAs a Delivery Consultant, Data Engineering and Conversion Solutions on the AI & Data team, you will be responsible for…
- Designing, developing, and supporting data pipelines, conversion processes, and integration workflows across client systems
- Performing data mapping, transformation, validation, and reconciliation activities to support conversion and migration requirements
- Collaborating with cross-functional teams to analyze source and target data structures, document technical requirements, and resolve data issues
- Developing and executing unit tests, supporting defect triage, and maintaining documentation for data engineering and conversion deliverables
- Contributing to project delivery by supporting sprint activities, status reporting, and implementation tasks across the data lifecycle
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, Engineering, Information Technology, Information Systems, Mathematics, or Statistics
- 4+ years of experience with Python, machine learning, artificial intelligence (AI) testing, data testing, and AI agent development or implementation
- 3+ years of experience designing, developing, and supporting data pipelines, data integration workflows, data conversion solutions, SQL, data analysis, and data mapping
- Experience with data validation, reconciliation, defect resolution, and implementation support for migration or conversion activities
- Ability to obtain a Public Trust clearance
- Ability to travel 0-10%, 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:
- Experience supporting government, public sector, or higher education clients
- Experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
- Experience with ETL tools, data warehousing platforms, or lakehouse technologies
- Experience working in Agile delivery environments
- Experience creating technical documentation, source-to-target mappings, and test evidence for project deliverables
- Experience with risk modeling and predictive modeling
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