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