Data Engineer IV (6249)

itD is seeking a Data Engineer IV to design, build, and optimize scalable data infrastructure that supports AI infrastructure and inference initiatives for a high-performing engineering organization. The ideal candidate will bring deep expertise in data engineering, AWS, large-scale ETL development, and analytics, with a proven track record of building end-to-end data pipelines and delivering reliable enterprise data solutions.

Responsibilities:

• Design, develop, and maintain end-to-end data pipelines and scalable data architectures using AWS technologies
• Build and optimize ETL processes that transform raw data into structured, analytics-ready datasets
• Design, implement, automate, and support enterprise-scale data management systems that meet business and engineering requirements
• Partner with AI infrastructure engineers, data architects, and cross-functional stakeholders to improve data reliability, scalability, and operational efficiency
• Develop high-performance data processing solutions, prototypes, and proof-of-concept implementations to support infrastructure initiatives
• Manage data engineering projects through the full development lifecycle, from requirements gathering to deployment and ongoing optimization
• Identify opportunities to improve existing data processes, enhance system performance, and implement engineering best practices
• Attend regular internal practice community meetings
• Collaborate with your itD practice team on industry thought leadership
• Complete client case studies and learning material (blogs, media material)
• Build out material to contribute to the Digital Transformation practice
• Attend internal itD networking events (in person and virtual)
• Work with leadership on career fast-track opportunities

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, or a related technical field
• 8+ years of experience in data engineering or a related technical discipline
• Experience designing and building end-to-end data pipelines from scratch using AWS
• Experience developing and maintaining large-scale ETL processes and enterprise data solutions
• Experience transforming raw data into structured, analytics-ready data models and tables
• Strong analytical skills with experience solving complex data engineering challenges
• Experience collaborating with data architects, software engineers, and cross-functional technical teams
• Excellent written, verbal, and presentation communication skills
• Experience supporting AI infrastructure, machine learning platforms, or inference systems
• Infrastructure engineering or platform engineering experience
• Previous experience working in large-scale technology organizations
• Previous experience supporting Meta or similar enterprise environments
• Process improvement certifications such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, or CMMI