Data Engineer, Global Revenue Informatics
San Mateo, California
Applications have closed
Verkada
Imagine all your building and security products on a single cloud-managed platform, accessible from anywhere in the world. Free 30-day trial. Simple, secure and scalable.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 VerkadaVerkada is building a one-of-a-kind B2B enterprise sales machine. With a sales team of over 900 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 OperationsYou will be joining the Sales Strategy and Operations team as a high impact contributor, gaining exposure to a wide variety of challenges, processes, and data that makes the engine of this Sales organization hum. As a Data Engineer on the team, you will play an integral role in leveraging our data and infrastructure 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:
- Developing 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
• 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 EmployerAs 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Big Data Data pipelines Data quality EC2 GCP Google Cloud Looker Pipelines Python RDBMS Salesforce Security SQL
Perks/benefits: Career development Fertility benefits Flex hours Flexible spending account Flex vacation Health care Lunch / meals Medical leave Parental leave Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open AI Engineer jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs