Data Engineer --Remote-6076

itD Tech•Phoenix, AZ

2h•Remote

About The Position

itD is seeking a Data Engineer to design, build, and optimize scalable data architectures that power marketing analytics and survey measurement initiatives across a global portfolio of consumer applications. This role will directly support marketing efficacy by delivering automated, high-impact data solutions and insights that enhance decision-making across cross-functional teams. The ideal candidate brings deep expertise in ETL development, SQL, Python, data modeling, and data warehousing, along with a proven track record of building robust pipelines, dashboards, and analytical frameworks in fast-paced environments. Location: Remote – United States Duration: 6 months Schedule: 40 hours per week, Monday–Friday (No OT) Pay Rate: Competitive market rate (based on experience) We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. About the Team This role sits within the Marketing Analytics and Operations Group (XFAN – 002555) and supports the Survey Warehouse and Measurement area. The Data Engineer will collaborate with marketing data science teams to design and build large-scale data systems supporting applications including Facebook, Instagram, WhatsApp, and Threads. You will join a team of 7, including team members based in London, and may participate in cross-regional collaboration. This is a high-visibility role supporting data initiatives that impact billions of users and millions of businesses globally.

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)

Nice To Haves

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.

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