Data Engineer --Remote-6076

itD is a consulting and software development company seeking a Data Engineer to design, build, and optimize scalable data architectures for marketing analytics and survey measurement initiatives. The role involves delivering automated data solutions that enhance decision-making across teams and requires collaboration with data science teams to support various applications.

Responsibilities:

• Translate marketing analytics and survey data requirements into scalable data models, automated pipelines, and reporting solutions
• Design and develop data warehouses, dashboards, and analytical frameworks to support marketing programs and campaign performance measurement
• Build and optimize ETL processes integrating structured and unstructured data sources
• Solve complex data integration challenges using advanced SQL techniques and data engineering best practices
• Collaborate with data engineers, data scientists, and marketers to define data requirements and present insights clearly and effectively
• Conceptualize and evaluate large-scale data architectures, balancing performance, scalability, and operational efficiency
• Implement and maintain data security and privacy safeguards, ensuring compliance and resolving data quality issues
• 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:

• 5–6 years of professional experience working primarily with data (Data Engineer, Data Analyst, Data Scientist, or similar role)
• 5+ years of hands-on experience with SQL
• 5+ years of experience developing ETL pipelines
• 5+ years of experience in data modeling and data warehousing
• 5+ years of experience with data visualization and dashboard development
• Proficiency in at least one programming language (Python strongly preferred)
• Experience collaborating cross-functionally with engineers, scientists, and analytics teams
• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field (or equivalent practical experience)
• Experience in Marketing Analytics or Marketing Technology (MarTech)
• Experience working within large-scale or big tech environments
• Experience supporting global or cross-timezone teams
• Experience participating in on-call rotations