Senior Data Engineer, Zoom
$98.9-228.7k
More information about location
Office located in San Jose, CA
Work platform for human connection
Open for applications
Work platform for human connection
1001+ employees
Open for applications
$98.9-228.7k
More information about location
Office located in San Jose, CA
1001+ employees
Company mission
To help people connect, collaborate, and get more work done, together.
Role
Who you are
- The role requires solid hands-on experience with cloud data stacks and close collaboration with product, marketing, and ML teams
- Possess experience with Snowflake, dbt, Apache Airflow, solid SQL, and data modeling, working with Apache Spark / PySpark and Databricks
- Handle event-driven, telemetry, and product analytics data, including ecommerce data models and SaaS business metrics (MRR, ARR, churn, retention)
- Apply workflow orchestration, monitoring, data quality best practices, and using data observability tools
- Build and maintain machine learning model pipelines and supports lifecycle marketing analytics
- Operate across cloud platforms (AWS, Azure, GCP) and implementing CI/CD for data pipelines
- Leverage streaming platforms such as Kafka and Kinesis
What the job involves
- We are seeking a Senior Data Engineer to build and scale a modern data platform supporting product analytics, lifecycle marketing, ecommerce insights, and machine learning pipelines in a SaaS environment
- The work includes a mix of new pipeline development and the maintenance and evolution of long-lived pipelines, with a strong emphasis on correctness, stability, and thoughtful iteration
- You’ll operate in areas where data issues can directly affect product workflows or customer experiences, making high data quality, proactive monitoring, and operational rigor essential
- The Online Data team owns the data foundations that support online product experiences, lifecycle marketing, and revenue analytics
- Our domain includes workflows that directly affect product operations and customer interactions, not just reporting
- We work primarily in Snowflake ,Databricks , DBT, with Airflow-based orchestration, and place a solid emphasis on proper dimensional modeling, consistent business definitions, and clearly defined ownership boundaries
- The team values engineer who take a long-term view of data systems and help raise the bar through thoughtful design, code reviews, and shared standards
- Designing, building, and maintaining scalable data pipelines using Airflow, Spark, and Databricks, including ML pipelines for feature engineering, training, and inference
- Developing ELT workflows and analytics-ready data models with dbt, architecting and optimizing Snowflake schemas for performance and cost
- Building and managing pipelines for product telemetry and event-based data (users, sessions, events), supporting ecommerce metrics such as orders, subscriptions, revenue, and LTV
- Enabling lifecycle marketing analytics (acquisition, activation, retention, churn) with reliable, high-quality data
- Ensuring data quality, reliability, monitoring, and cost optimization across the data platform
- Collaborating with Product, Marketing, Analytics, and ML teams, mentoring junior engineers, and contributing to data architecture decisions
Application process
- End Date: March 1, 2026
Our take
Zoom reworked video conferencing when most people assumed it was a solved problem, with services from Cisco and Skype already ubiquitous in workplaces and homes. However, its videoconferencing infrastructure was simpler to use, faster and more flexible than any previous solution, and it swiftly took the world by storm.
Its success bred competition, however, and companies such as Microsoft and Google, along with numerous smaller communications firms, have begun making inroads on Zoom's formerly commanding lead. Additionally, as workplaces are mostly adopting a hybrid or flexible working strategy, some of its importance as a workplace tool is wearing off and it is recording a gradual decline in daily usage rates.
To counter these trends, Zoom is expanding its business offerings through product development and strategic acquisitions. Alongside many other large tech companies, it has battled through a difficult economic situation, but it nonetheless remains a profitable company and household name. Plus, its track record of innovation means it is still very much one to watch in the communications space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2017
$100m
SERIES D
Feb 2015
$30m
SERIES C
Total funding: $148.5m
Company benefits
- Work from home opportunities
- Retirement benefits
- My-Time-Off (MTO), an extended vacation policy
- Employee Stock Purchase Plan (ESPP) and Restricted Stock Unit (RSU) Equity Program plus Yearly stock grant for all employees
- Wellness and fitness reimbursement, wellness resources, Thrive Global wellness app, TaskHuman wellness coaching app
- Employee Assistance Program (EAP) including emotional support, financial resources and legal guidance
- Paid Parental Leave (both parents) 16 weeks paid leave (or statutory if more generous)
- Employer Matching of Charitable contributions up to $500 USD equivalent/year
- Annual Zoom Store Allowance
- Business Travel Accident Insurance
Company HQ
Downtown San Jose, San Jose, CA
Leadership
Eric Yuan
(CEO & Founder)Previously VP Engineering at Cisco and WebEx.
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