Verkada

Technology

StaffDataEngineer

$190–250k San Mateo, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Staff Data Engineer at Verkada. Skills: Data warehousing, Data pipelines, Data modeling, Cloud data platforms. Architect warehouse infrastructure. Engineer warehouse infrastructure”

Industry & Context.

Technology

What They're Looking For.

Must Have

Bachelor's or Master's degree, 10 years of professional data engineering experience, Advanced skill in Python, Advanced skill in SQL, Expertise with cloud warehouses, Expertise in managing data lakes, Proven track record in constructing automated pipelines, Expert-level proficiency in SQL, Expert-level proficiency in Python, Willing to work onsite five days per week

Nice to Have

Experience building data observability platforms, Experience building data quality platforms, Familiarity building vector databases, Experience building Gen AI agents for development workflows, Experience building Gen AI agents for business intelligence inquiries

What You'll Do.

Architect warehouse infrastructure

Engineer warehouse infrastructure

Maintain warehouse infrastructure

Lead data pipeline design

Implement data pipelines

Manage data pipelines

Develop bronze data models

Develop silver data models

Develop gold data models

Enforce business alignment

Enforce data governance

Define data pipeline sources

Define data modeling requirements

Define data quality standards

Build data engineering roadmap

Drive data engineering roadmap

Translate business priorities

Translate technical debt

Translate platform gaps

Own project lifecycle

Move initiatives to production

Drive engineering standards

Raise bar across data engineering team

Create strategies for data security

Deploy strategies for data security

Create strategies for data integrity

Deploy strategies for data integrity

Create strategies for regulatory compliance

Deploy strategies for regulatory compliance

Grow data engineering team

Mentor data engineering team

How You'll Work.

Team & Collaboration

Collaboration across departments; Partner with stakeholders; Partner with Head of Data

Process & Methodology

Github PR reviews, Jira sprint board management

Full Job Description

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. 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. We are committed to a thriving in-office culture. This role requires you to be onsite at our HQ in San Mateo, CA. What You'll Do Architect, engineer and maintain efficient, scalable warehouse infrastructure that facilitates high-quality, accurate insights and reporting. Lead, design, imple

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