Data Engineer

San Mateo, California /
Sales – Sales - Data Science, Analytics and Infrastructure /
Full-Time
/ On-site
Who We Are
At Verkada, we’re building the operating system for the physical world. 

We started in 2016 with video security cameras and an intuitive cloud-based platform, and in just six years, we've expanded to include five additional product lines (access control, environmental sensors and alarms, as well as visitor and mailroom management) that help enterprises to protect and manage their people and assets. 

Today more than 14,000 organizations across 63 countries worldwide trust Verkada as their physical security layer for easier management, intelligent control, and scalable deployments. We are valued at $3.2 billion, with $360 million raised in venture capital from investors including Linse Capital, MSD Partners, L.P., Felicis Ventures, Next47, Sequoia Capital, Meritech Capital, and First Round Capital. 

This is just the beginning. The need for businesses to secure and manage their people and physical assets with scale and speed is mission critical and continues to increase. Our teams are energized by the complex challenges we work on and the platform we are building to make the schools, hospitals, businesses and communities that we live and work in safer.

About Verkada
Verkada is building a one-of-a-kind B2B enterprise sales machine. With a sales team of over 800 around the world, we are changing the game in the $100B physical security market. We hire the best, from new grads to top performing veterans, and it shows in our results. That caliber of team requires accurate, complete and insightful data to allow them to perform their best. As we scale, we need more and better data to inform how we segment our customers, prioritize our efforts, decide where to expand and how to grow our organization. We want to invest to turn data into a core competitive advantage, and this is an amazing opportunity to build out a best-in-class data function.

Data Engineer, Sales Strategy and Operations
We are looking for a Data Engineer to join the Sales Strategy and Operations team. You will play an integral role in leveraging our data and technology to help our global sales team run better, faster, and smarter.

Why Data?

    • Data is the foundation of our go-to-market strategy. It supports all parts of our sales motion, including:
    • Creating customer profiles to identify & target high value buyers 
    • Identifying & facilitating key growth opportunities, e.g., entering markets in previously untapped geographies 
    • Segmenting our sales team and defining sales representative patches 
    • Populating and maintaining an accurate universe of buyers 
    • We recognize the importance of data to our scalability and success, and we aim to make it a core competency of our business.

What You'll Do

    • Improve data quality: constantly iterate on ways to improve the quality of our data, including but not limited to:
    • Building automated tools to monitor, validate, and scrub our existing data
    • Ensuring consistency across systems
    • Suppressing and/or mitigating duplicate records
    • Evaluating and acquiring new data worldwide
    • Mapping complex real world organizational structures such as conglomerates and multinational corporations in our systems
    • Build scalable infrastructure: build reliable, efficient, and scalable infrastructure for data storage, as well as optimal extraction, transformation, and loading of data from a variety of sources and systems
    • Improve and automate processes: identify, design and implement internal process improvements - automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability

Requirements

    • Bachelor’s or master’s degree in a technical discipline from a top school
    • 3+ years of professional experience, ideally in very analytical or technical roles
    • Advanced working SQL knowledge and experience working with relational databases, query authoring as well as working familiarity with a variety of databases
    • Experience building and optimizing “big data” data pipelines, architectures, and data sets
    • Experience with Python, AWS (EC2, RDS, etc.), Google Cloud, etc.; working knowledge of Salesforce and Looker is a plus
    • Ability to work with cross-functional teams in a dynamic and fast-paced environment
About our team
Behind the scenes, we’re a team of computer scientists, hardware engineers and experienced founders who saw a chance to make a real impact. We’re united by the challenge of building beautiful products, designed for real people—and by our commitment to using technology responsibly. We believe keeping data private and secure is core to our safety as individuals, businesses and communities and we put great care into building systems that embody our values as people. Likewise, many of Silicon Valley’s top investors believe in us: we’re backed by Sequoia Capital, First Round, Meritech and Siemens (Next47).

US Employee Benefits
Verkada is committed to investing in the holistic health and wellbeing of all employees and their families. 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 most plans and 80% for family premiums
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) 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 and dinners provided daily

Verkada Is An Equal Opportunity Employer
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.