Data Engineer - Marketing
Remote · USFull-timePosted 5 days agoStill listed 3 days ago
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At a glance
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Job overview
Zoom’s Marketing Analytics team builds data infrastructure and analytics capabilities for the broader Marketing organization. The Data Engineer will architect ETL pipelines, develop data models, and maintain data quality across marketing platforms, turning raw data into analytics-ready datasets. The role partners with analysts and marketing stakeholders to support campaign performance, attribution modeling, and customer journey analytics.
Skills & qualifications
Skills
Qualifications
Full job description
What You Can Expect Join Zoom's Marketing Analytics team and help power the data infrastructure behind strategic marketing decisions. In this role, you will architect scalable ETL pipelines, build optimized data models, and ensure data quality across multiple marketing platforms, transforming raw data into reliable, analytics-ready datasets. You will collaborate closely with analysts and marketing stakeholders to surface actionable insights that shape campaign performance, attribution modeling, and customer journey analytics. This is a technical role with real business impact, where your engineering work directly influences how Zoom's marketing organization understands and acts on data.
About the Team Zoom's Marketing Analytics team partners with the broader Marketing organization to deliver reliable, high-quality data infrastructure and analytics capabilities. The team combines deep data engineering expertise with a collaborative mindset, working to ensure that marketing decisions at Zoom are grounded in trustworthy, well-structured data.
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
What We're Looking For
- Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience
- 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 both Airflow for pipeline orchestration and dbt for data transformation
- Strong expertise in AWS data services and cloud infrastructure
- Proven track record of translating complex business requirements into scalable, production-grade data solutions
- Experience with marketing data and metrics such as attribution, campaign performance, or customer journey analytics; familiarity with data visualization tools (such as Tableau or Power BI) or machine learning concepts applied to marketing is a plus
Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.
About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.
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How this job compares
Set against the 5,771 open Data Engineer jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This postingNot listed
- Washington, D.C. median$108–181K/yr71 salary ranges
- US median$62–75/hr269 hourly ranges
- Openings
- Olive Jobs lists 89 open Data Engineer jobs in Washington, D.C. and 5,771 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington, D.C.
- Deloitte14 open
- PwC6 open
- Databricks5 open
- Experience
- This posting asks for at least 5 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,003 postings).
- Education
- 2,686 of the 5,771 open Data Engineer jobs (47%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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