Software Engineer, Growth Data Engineering

Who We Are Verkada is the largest cloud-based B2B physical security platform company in the world. Only Verkada offers six product lines — video security cameras, access control, environmental sensors, alarms, workplace and intercoms — integrated with a single cloud-based software platform. Designed with simplicity and scalability in mind, Verkada gives organizations the real-time insight to know what could impact the safety and comfort of people throughout their physical environment, while empowering them to take immediate action to minimize security risks, workplace frustrations and costly inefficiencies. Founded in 2016 with more than $360M in funding raised to date, Verkada has expanded rapidly with 15 offices across three continents, 1,600+ full-time employees and 17,000+ customers across 70+ countries, including 45 companies in the Fortune 500. As the first Software Engineer on the Growth Platform team, you will play an integral role in leveraging our data and infrastructure to help our global marketing team run better, faster, and smarter. You will gain exposure to a wide variety of challenges, processes, and data that power our growth engine and will have a large impact on how we scale the company. Responsibilities: - Identify data needs for marketing and sales teams, understand their specific operational and reporting requirements, and build efficient and scalable data products & pipelines to enable data-driven decisions across Verkada - Help the Data Science team apply and generalize statistical and econometric models on large datasets to empower more intelligent decision making among our Growth & Go-to-Market teams - Build Verkada’s Customer Engagement Data Service - collecting, curating, mastering, enriching, and presenting a single view of user interactions with Verkada for consumption by data applications across the company - Refine our existing data lake that help the marketing and sales organization at Verkada forecast the future potential performance of the business, and reliably measure their ongoing attainment toward targets - Build data pipelines that track key GTM product metrics, and measure the impact of different GTM strategies employed by teams in the field - Integrate different parts of our experimentation infrastructure at Verkada, to enable full-funnel measurement and personalization of experiences spanning from verkada.com into product Requirements: - Bachelor’s or master’s degree in Computer Science (or similar degree) - 3+ years of experience in a Data Engineering or Software Engineering role, with a focus on building data pipelines, or applications powered by big data - A strong engineering background and are interested in data - The ability to communicate cross-functionally, derive requirements and architect shared datasets - Knowledge of a scientific computing language (such as Python) and SQL US Employee Benefits Verkada is committed to investing in the holistic health and well-being 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.