Data Engineer IV (6324)

itD is a consulting and software development company focused on delivering technology solutions and business results. The Data Engineer IV will develop, maintain, and optimize scalable data solutions, enterprise ETL processes, and operational data workflows while supporting business initiatives and collaborating with data and IT teams.

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
• 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

Requirements:

• 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
• Bachelor's degree in a technical field such as Computer Science, Computer Engineering, or a related field required
• Location: Remote – PST timezone is required
• We are only considering direct W2 candidates at this time, as we are unable to offer sponsorship
• Experience setting up and executing model evaluation processes
• Experience running and evaluating model measurement pipelines
• Previous experience working at Meta
• Process certification such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, or CMMI