Senior Data Engineer

Zoom • San Jose, CA

7d • Hybrid

About The Position

What you can expect This role will be part of the Enterprise Applications team and will be collaborating closely with other data analysts, data scientists and data engineers to support Marketing Analytics. The Enterprise Applications team works cross functionally with business stakeholders and data teams. This role will work closely with the Marketing, IT, and Product teams. About the Team Zoom's Information Technology team is dedicated to delivering customer happiness, enhancing business efficiency, and fostering agility through innovation, data insights, and automation. Our impact is evident in seamless user experiences, streamlining processes, and supporting Zoom's growth in communication and collaboration.

Requirements

• Have Bachelor's / Master's in Computer Science, Information Systems, or related field.
• Have 8+ years of experience in data engineering with demonstrated expertise in marketing analytics, attribution modeling, and customer journey analysis
• Possess deep understanding of marketing data ecosystems including CRM platforms, marketing automation tools, web analytics, and advertising platforms
• Apply solid foundation in software engineering principles including data structures, algorithms, CI/CD methodologies, and proficiency in Python, Java, or C++
• Hold expert-level SQL skills with proven experience in dimensional modeling, data warehouse design, and optimization for analytical workloads
• Have hands-on experience with distributed data processing frameworks (Spark, Hive, Trino) and cloud data platforms (AWS)
• Own advanced proficiency in workflow orchestration (Airflow) and modern data transformation frameworks (dbt)

Responsibilities

• Designing, developing, and maintaining enterprise-grade ETL/ELT data pipelines that power marketing analytics and attribution models
• Transforming raw marketing data from multiple sources into scalable, performant data models optimized for marketing analysts and data scientists
• Architecting and building foundational analytics data models that enable self-service marketing insights and campaign performance analysis
• Leading implementation of data quality frameworks, monitoring systems, and alerting mechanisms to ensure reliable marketing metrics and KPIs
• Developing and optimize production-level DAGs using orchestration tools (Airflow) to support realtime and batch marketing data workflows
• Collaborating with Marketing, Product, and IT teams to define data requirements and deliver solutions that drive marketing effectiveness
• Establishing and enforcing best practices for change management, release management, and data governance across marketing data systems

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level