Senior Data Engineer

Verkada is transforming how organizations protect their people and places with an integrated, AI-powered platform. A leader in cloud physical security, Verkada helps organizations strengthen safety and efficiency through one connected software platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. Over 30,000 organizations worldwide—including more than 100 Fortune 500 companies—trust Verkada as their physical security layer for easier management, intelligent control, and scalable deployments. Founded in 2016, Verkada has expanded rapidly with 15 offices and 2,200+ full‑time employees. About the Role As a member of our Data Platforms and Analytics Team and reporting directly to the Head of Data, you will be responsible for developing the core enterprise data warehouse infrastructure, data models, and pipelines at Verkada. We aim to provide a single reporting source of truth for enterprise data with clear business data definitions to empower internal Finance, Sales, Marketing, Product, and HR teams to make informed data‑driven decisions. Our strategy emphasizes automation, scalable architecture, and accuracy, while providing iterative improvements over time. This role requires you to be onsite at our HQ in San Mateo, CA. What You'll Do Engineer and maintain efficient, scalable warehouse infrastructure that facilitates high‑quality, accurate insights and reporting. Design, implement and manage automated data pipelines from various data sources—including databases, API endpoints, business systems, and data lakes. Collaborate across departments to develop bronze, silver, and gold data models, enforcing business alignment and data governance. Partner with Finance, Sales, Marketing, Product, and HR stakeholders to define data pipeline sources, data modeling requirements, and data quality standards. Oversee the entire project lifecycle, moving initiatives from initial design through to production by leveraging development standards such as Github PR reviews and Jira sprint board management. Create and deploy strategies to maintain data security, integrity, and regulatory compliance. Provide leadership and guidance to grow and mentor future members of the data engineering team. What You Bring 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 or 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 supporting business intelligence related inquiries is a plus. Must be willing and able to work onsite five days per week. Employee Benefits Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to: Healthcare programs that can be tailored to meet the personal health and financial well‑being needs—Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans. 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 and fertility benefits. Time off to relax and recharge through paid holidays, firmwide extended holidays, flexible PTO and personal sick time. Wellness/fitness benefits. Healthy lunches provided daily. Annual Pay Range At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs). Below is the annual on‑target earnings (OTE) range for full‑time employees for this position, comprised of base compensation and commissions (if applicable). $140,000 – $210,000 USD As an equal‑opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. #J-18808-Ljbffr