Senior Data Engineer

Verkada is hiring a Senior Data Engineer to develop and maintain the core enterprise data warehouse infrastructure, data models, and pipelines. The role requires a strong background in data engineering, cloud warehouses, and data lakes. The ideal candidate will have a Bachelor’s or Master’s degree in Computer Science or a related field and at least 5 years of professional experience in data engineering.

Requirements

• 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

Benefits

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits