Senior Data Engineer (Online Data)

What You Can Expect

In this role you will design build and optimize the data pipelines and analytical solutions that power Zooms Online business including billing checkout growth and revenue analytics. Working end to end you will own the full data engineering lifecycle from ETL design and ingestion through data quality performance tuning and model delivery to stakeholders across Data Science Finance and Product. Each day brings a mix of deep technical work and meaningful cross-functional collaboration with opportunities to shape how the Online business understands and acts on its data. This is a senior individual contributor role reporting into the Data Systems and Online Technology organization. This is a hybrid position that requires on-site presence three (3) days per week at our Seattle WA or San Jose CA office. Remote arrangements are not available for this role.

About the Team

The Online Data team is the analytical backbone of Zooms Online business delivering the data infrastructure and insights that support billing checkout growth and revenue operations. Working alongside Senior Data Engineers Machine Learning Engineers and Data Visualization Engineers within the Data Systems and Online Technology organization our team ensures that decision-makers across Product Finance and Data Science have reliable well-governed data to work from. We build systems and standards that keep Zooms Online business moving with confidence.

Responsibilities

• Design and implement scalable ETL workflows and data pipelines that transform raw data into structured analytics-ready formats with automated validation checks and monitoring to ensure ongoing quality and reliability.
• Build analytical datasets from clickstream user interaction and product usage events to support web analytics feature adoption analysis and user journey insights.
• Establish and maintain data governance practices including data definitions lineage ownership documentation and access controls for sensitive data in collaboration with cross-functional stakeholders.
• Implement automated data quality frameworks covering accuracy completeness consistency and freshness and establish alerting to identify and resolve data issues proactively.
• Optimize pipeline performance and database efficiency through query tuning indexing strategies caching configurations and model accuracy evaluation for large-scale structured and unstructured data.
• Analyze complex datasets using statistical techniques and machine learning methods build interactive visualizations and run hypothesis testing to surface insights for technical and non-technical audiences.
• Lead end-to-end development of data products from concept through deployment integrating machine learning models into production and providing technical guidance to peers across data engineering and ML workflows.

What Were Looking For

• Data engineering expertise: 8 years of hands-on experience designing and optimizing complex data pipelines and ETL workflows including error handling monitoring and performance tuning using tools such as Snowflake Databricks Spark Airflow dbt and Python.
• SQL and database mastery: Proficiency designing normalized schemas optimizing complex queries and applying advanced database features for high-performance analytical workloads.
• Machine learning and statistical methods: Experience developing and optimizing ML solutions designing and executing hypothesis testing strategies and applying statistical techniques to validate analytical approaches.
• Web analytics and product telemetry: Familiarity with event tracking clickstream data sessionization and user identity resolution with demonstrated experience building analytical datasets from web and product usage data.
• Data governance and quality: Experience implementing data standards metadata management lineage ownership and access controls combined with the ability to design automated validation tests and anomaly detection to maintain data reliability.
• Communication and visualization: Ability to build complex interactive visualizations and communicate findings clearly to both technical and non-technical stakeholders with strong skills in independently managing stakeholder relationships.
• Education: Bachelors or Masters degree in Computer Science Engineering or a related field or equivalent experience.

Salary Range or On Target Earnings:

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations

At Zoom we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date just in case you want to mark it on your calendar. We look forward to receiving your application!

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.
Were 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. Were 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 knowwere 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.

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