7 days ago
Base Salary
$99k - $229k/yr
Responsibilities
- Design and implement scalable ETL workflows and data pipelines with validation, monitoring, error handling, and reliability controls.
- Build analytical datasets from clickstream, user interaction, and product usage events for web analytics, feature adoption, and user journey analysis.
- Establish data definitions, lineage, ownership documentation, governance standards, and access controls for sensitive data.
- Implement automated data quality frameworks covering accuracy, completeness, consistency, freshness, anomaly detection, and proactive alerting.
- Optimize pipeline performance and database efficiency through query tuning, indexing, caching, and model accuracy evaluation.
- Analyze complex datasets using statistical and machine learning methods, conduct hypothesis testing, and build interactive visualizations for technical and non-technical audiences.
- Lead data product development from concept through deployment, integrate machine learning models into production, and provide technical guidance to data engineering and ML peers.
- Collaborate with stakeholders across Data Science, Finance, and Product.
Requirements
- 8+ years of hands-on experience designing and optimizing complex data pipelines and ETL workflows, including error handling, monitoring, and performance tuning.
- Experience using Snowflake, Databricks, Spark, Airflow, dbt, and Python.
- Strong SQL and database expertise, including normalized schema design, complex query optimization, and advanced database features for analytical workloads.
- Experience developing and optimizing machine learning solutions, applying statistical techniques, and designing hypothesis testing strategies.
- Familiarity with event tracking, clickstream data, sessionization, user identity resolution, and product telemetry.
- Experience implementing data standards, metadata management, lineage, ownership, access controls, automated validation tests, and anomaly detection.
- Ability to build complex interactive visualizations and communicate findings clearly to technical and non-technical stakeholders.
- Ability to independently manage stakeholder relationships.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Benefits
- Hybrid work requiring on-site presence three days per week at the Seattle, Washington or San Jose, California office; remote arrangements are not available.
- Benefits and perks support physical, mental, emotional, and financial health, work-life balance, and community involvement.
- Applications are accepted through the anticipated closing date of November 26, 2026, with at least a five-day application window.
Tech Stack
Categories
Data Engineering
About Zoom
Zoom builds a cloud platform for video meetings, team chat, webinars, phone, rooms, and contact center used by businesses, schools, and public-sector organizations. It sells these collaboration and communications services as SaaS subscriptions with add-ons for events, telephony, and enterprise features, and offers developer APIs/SDKs. Founded in 2013 and headquartered in San Jose, California, Zoom Video Communications is a public company traded on Nasdaq.