Delivery Consultant, Data Engineering and Conversion Solutions

Deloitte•Lake Mary, FL

13d•Hybrid

About The Position

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. As 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. You will perform data mapping, transformation, validation, and reconciliation activities to support conversion and migration requirements. You will collaborate with cross-functional teams to analyze source and target data structures, document technical requirements, and resolve data issues. You will also develop and execute unit tests, support defect triage, and maintain documentation for data engineering and conversion deliverables. Additionally, you will contribute to project delivery by supporting sprint activities, status reporting, and implementation tasks across the data lifecycle.

Requirements

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
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.

Nice To Haves

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

Responsibilities

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