Senior Data Engineer: Marketing Analytics & Data Pipelines

Maven Ventures; Washington (District of Columbia); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Zoom is seeking a senior data engineer for the Marketing Analytics team in a hybrid environment. You will design and operate scalable ETL pipelines, build optimized data models, and ensure data quality across multiple marketing platforms to deliver analytics-ready datasets.

You will collaborate with analysts and marketing stakeholders to surface insights shaping attribution models, campaign performance, and customer journey analytics.

Qualifications

• 5+ years of experience in data engineering.
• Expert-level proficiency in SQL and Python for data manipulation and analysis.
• 2+ years of hands-on experience with Airflow and dbt for data transformation.
• Strong expertise in AWS data services and cloud infrastructure.
• Experience with marketing data and metrics such as attribution, campaign performance, or customer journey analytics; familiarity with data visualization tools is a plus.

Responsibilities

• Design and implement robust ETL pipelines to integrate data from multiple marketing platforms and data sources.
• Develop optimized data models and schemas that support analytics and reporting requirements.
• Manage Airflow workflows for pipeline orchestration and dbt models for data transformation.
• Create and optimize complex SQL queries for data analysis and reporting.
• Implement comprehensive data quality checks and monitoring systems to ensure accuracy and reliability.
• Partner with analysts to transform raw data into actionable insights for marketing stakeholders.

Skills

SQL

Python

Airflow

dbt

AWS

Marketing data

Education

Bachelor's degree in CS/IS or related field

Tools

Airflow

dbt

Tableau

Power BI

Job description

Zoom is seeking a senior data engineer for the Marketing Analytics team in a hybrid environment. You will design and operate scalable ETL pipelines, build optimized data models, and ensure data quality across multiple marketing platforms to deliver analytics-ready datasets.

You will collaborate with analysts and marketing stakeholders to surface insights shaping attribution models, campaign performance, and customer journey analytics.