Lead Data Engineer II

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. Work you'll do As a Lead Data Engineer II on the AI & Data team, you will be responsible for... Designing, building, and optimizing batch and streaming data pipelines for large-scale data platformsTranslating business, functional, and technical requirements into scalable data models, integration patterns, and engineering solutionsLeading technical delivery across data engineering workstreams, including code reviews, design decisions, and release supportIntegrating data from multiple enterprise source systems and cloud environments to support reporting, analytics, and artificial intelligence use casesSupporting testing, deployment, monitoring, and issue resolution to improve reliability, performance, and data quality A successful candidate would possess these skills: Ability to work independently and collaborate as part of a teamEffective written and verbal communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationshipsAbility to lead projects or workstreamsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentStrong interpersonal skills and professional demeanorAbility to meet deadlinesAbility to mentor and 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, Engineering, Information Systems, or a technical field, or equivalent experience6+ years of experience designing, building, and maintaining data pipelines and cloud-based data platforms4+ years of experience with Python, Structured Query Language, and distributed data processing frameworks3+ years of experience with Amazon Web Services, Microsoft Azure, or Google Cloud Platform2+ years of experience leading data engineering workstreams and delivering production data solutions using version control and deployment pipelinesAbility to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.Limited immigration sponsorship may be available. Preferred: 2+ years of experience with Databricks, Snowflake, or comparable cloud data platforms2+ years of experience building orchestration workflows using Apache Airflow or comparable tools2+ years of experience delivering data engineering solutions for government or public sector organizations2+ years of experience with data governance, data quality, or metadata management tools1+ cloud data engineering certification in Amazon Web Services, Microsoft Azure, or Google Cloud Platform2+ years of experience supporting artificial intelligence or machine learning use cases through production data pipelines Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.