What you can expect
You will design and scale the data systems that connect product usage to revenue outcomes. You will build real-time and batch pipelines powering predictive models and business activation. You will shape foundational architecture that drives company-wide decision-making.
About the Team
Our team builds the data platform powering revenue intelligence across products. We partner with engineering, data science, and go-to-market teams. We turn raw telemetry into trusted, actionable data at scale.
Responsibilities
Designing and building end-to-end data architecture that unifies product telemetry, customer lifecycle, and revenue metrics into a trusted single source of truth.
Developing and maintaining scalable pipelines — both Distributedreal-time and batch — that integrate product usage, CRM, and billing systems to enable closed-loop revenue attribution.
Leading implementation of a standardized telemetry framework across platforms, defining event contracts and solving identity resolution challenges across devices and products.
Building data foundations for machine learning by partnering with data science to deliver feature pipelines, training datasets, and low-latency scoring infrastructure that accelerate experimentation.
Establishing reliability and governance standards including data quality frameworks, monitoring, incident response, privacy compliance, and self-service data modeling practices.
What we're looking for
8+ years of experience in Data Engineering / Distributed Systems.
Demonstrate extensive experience designing and operating large-scale data platforms in production environments with measurable business impact.
Build production-grade data pipelines using Python and advanced SQL, with a focus on performance optimization and reliability.
Operate modern data warehouses (such as Snowflake or Databricks) and orchestration tools (such as Airflow or Dagster) to manage complex data workflows.
Integrate diverse data sources — including event telemetry, CRM, and billing systems — into cohesive, well-modeled data products.
Apply data modeling best practices (using dbt or equivalent) to create testable, documented, and backward-compatible models that enable self-service analytics.
Bring experience in SaaS or product-led growth environments, including familiarity with product analytics platforms or streaming systems.
Support machine learning workflows by building feature stores, training pipelines, or real-time scoring infrastructure, or demonstrate equivalent practical experience.
Leverage AI-assisted development tools to accelerate engineering workflows, contribute to reusable automation, and continuously adopt emerging tooling to enhance team productivity.
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.
#LI-RemoteSkills Required
- Extensive experience designing and operating large-scale production data platforms with measurable business impact
- Build production-grade data pipelines using Python and advanced SQL with performance and reliability focus
- Operate modern data warehouses such as Snowflake or Databricks and orchestration tools like Airflow or Dagster
- Integrate diverse data sources including event telemetry, CRM, and billing systems into cohesive data products
- Apply data modeling best practices using dbt or equivalent (testable, documented, backward-compatible models)
- Experience in SaaS or product-led growth environments and familiarity with product analytics or streaming systems
- Support ML workflows by building feature stores, training pipelines, or real-time scoring infrastructure
- Leverage AI-assisted development tools to accelerate engineering workflows and contribute reusable automation
Zoom Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoom and has not been reviewed or approved by Zoom.
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Healthcare Strength — Health coverage includes multiple plan options with employer-paid life and disability, plus free dental and vision for employees and dependents. This breadth signals strong protection across core medical needs.
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Equity Value & Accessibility — Equity via RSUs and an ESPP is a meaningful part of total compensation. Stock-based rewards are positioned as a strong contributor to overall value.
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Leave & Time Off Breadth — Flexible vacation for exempt roles, PTO accrual for hourly roles, and company holidays provide broad time-off coverage. Paid parental leave, family-forming support, and wellbeing resources further expand leave-related support.
Zoom Insights
What We Do
Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom platform you know and love. 💙 Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses. We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you’ll work across teams to dig deep into impactful projects that are changing the way people communicate, and find room to grow with opportunities to stretch your skills and advance your career in a diverse, inclusive environment. Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home
