Data Engineer IV (6324)

Responsibilities

• Manage data engineering projects through the full development and delivery lifecycle.
• Identify and support business initiatives from a data engineering perspective.
• Design, build, test, and maintain highly scalable data management systems.
• Develop, implement, automate, and maintain large-scale enterprise ETL processes.
• Build high-performance algorithms, prototypes, predictive models, and proof-of-concepts.
• Evaluate and maintain data solutions to ensure they meet business requirements and established engineering practices.
• Collaborate with data architects, data modelers, and IT team members to define and deliver project goals.
• Internal Responsibilities
• Attend regular internal practice community meetings.
• Collaborate with your itD practice team on industry thought leadership.
• Complete client case studies and learning material, including blogs and media material.
• Build out material to contribute to the Digital Transformation practice.
• Attend internal itD networking events, both in person and virtually.
• Work with leadership on career fast-track opportunities.
• Required Qualifications and Skills
• 8+ years of overall professional experience in data engineering or a related technical field.
• Strong experience with Python.
• Experience with data engineering and ETL processes.
• Prior experience supporting operational data work/workflows.
• Experience designing, developing, testing, and maintaining scalable data solutions.
• Ability to work independently with minimal direction and effectively collaborate within a team.
• Strong written, verbal, and presentation communication skills.
• Strong PC skills, including experience with Microsoft SharePoint.
• Ability to collaborate with data architects, data modelers, and IT teams.
• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.