Senior Data Engineer
$140,000–$210,000 year
On-site · San Mateo, California, United States
Job Summary
Senior Data Engineer to develop Verkada's enterprise data warehouse infrastructure, data models (bronze, silver, gold), and automated pipelines from databases, APIs, and data lakes. Collaborate with Finance, Sales, Marketing, Product, and HR to define data pipeline sources, modeling requirements, and data quality standards; oversee project lifecycle with development practices (Github PRs, Jira); ensure data security, integrity, and regulatory compliance; provide leadership and mentorship to the data engineering team. Role is onsite at Verkada HQ in San Mateo, CA.
Required Qualifications
- Bachelor's or Master's degree in Computer Science or a related technical field
- Minimum of 5 years of professional data engineering experience
- Advanced skill in Python and SQL
- Expertise with cloud warehouses such as BigQuery, Snowflake, or Databricks leveraging DBT as a data modeling framework
- Expertise in managing data lakes with open source file formats such as Apache Iceberg, Delta Lake or Apache Hudi
- Proven track record in constructing automated pipelines using Airflow, Dagster, Fivetran, and / or Airbyte from various operational databases, API endpoints, business systems, and data lakes
- Expert-level proficiency in SQL and Python is required
- Experience building / managing data observability and data quality platforms such as BigEye, Monte Carlo and Great Expectations is a plus
- Familiarity or experience building vector databases for Generative AI use cases is a plus
- Experience building Gen AI agents to optimize development workflows within data engineering is a plus
- Experience building Gen AI agents for providing support for business intelligence related inquiries is a plus
- Must be willing and able to work onsite five days per week
Additional Requirements
- You must be independently authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment visa for this role, at this time.
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