Senior Data Engineer – Online Analytics & Pipelines (Hybrid)

Zoom; Seattle (WA); Hybrid; USD 99,000 - 229,000; Full time

Job summary

Zoom is seeking a senior data engineer to design, build, and optimize data pipelines powering Online analytics, including billing, checkout, growth and revenue analytics. You will own the full data engineering lifecycle, from ETL ingestions to data quality, performance tuning, and model delivery, collaborating with Data Science, Finance, and Product teams.

The role is hybrid with on-site presence three days per week at Seattle, WA or San Jose, CA. Remote arrangements are not available.

Qualifications

• 8+ years designing and optimizing complex data pipelines and ETL workflows using Snowflake, Databricks, Spark, Airflow, dbt, and Python.
• SQL proficiency designing normalized schemas and high-performance queries.
• Machine learning and statistical methods: experience developing ML solutions and hypothesis testing.
• Web analytics and product telemetry: event tracking and dataset construction from web/product usage data.
• Data governance and quality: standards, lineage, ownership, access controls, automated validation tests.
• Communication and visualization: build interactive visualizations and communicate findings to technical and non-technical stakeholders.
• Education: Bachelor’s or Master’s in CS/Engineering or equivalent experience.

Responsibilities

• Design and implement scalable ETL workflows and data pipelines with automated validation and monitoring.
• Build analytical datasets from clickstream and product usage events for web analytics and insights.
• Maintain data governance with lineage, definitions, and access controls.
• Implement automated data quality frameworks and alerting for issues.
• Optimize pipeline performance and database efficiency through tuning and caching.
• Analyze complex datasets using statistics and ML, and present findings to stakeholders.
• Lead end-to-end data products and deploy ML models into production with peer guidance.

Skills

Data engineering

SQL

ML/statistics

Web analytics

Data governance

Communication/visualization

Education in CS/Engineering

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Snowflake

Databricks

Spark

Airflow

dbt

Python

Job description

Zoom is seeking a senior data engineer to design, build, and optimize data pipelines powering Online analytics, including billing, checkout, growth and revenue analytics. You will own the full data engineering lifecycle, from ETL ingestions to data quality, performance tuning, and model delivery, collaborating with Data Science, Finance, and Product teams.

The role is hybrid with on-site presence three days per week at Seattle, WA or San Jose, CA. Remote arrangements are not available.