Senior Data Engineer
at ThousandEyesSan Francisco, CA
About the company
The name ThousandEyes was born from two big ideas: the power to see things not ordinarily possible and the ability to collect insights from a multitude of vantage points. As organizations rely more on cloud services and the Internet, the network has become a black box they can't understand. ThousandEyes gives organizations visibility into the now borderless network, arming them with an accurate understanding of how the network impacts their applications, users and customers. ThousandEyes is used by some of the world's largest and fastest growing brands, including all of the top 5 global software companies, 5 of the top 6 US banks, and 45 of the Fortune 500. ThousandEyes is backed by Sequoia Capital, Sutter Hill Ventures, Tenaya Capital, Google Ventures and Salesforce Ventures, with headquarters in San Francisco, CA.
About the position
We are looking for a Data Engineer superhero who will take the Analytics team’s data infrastructure tothe next level. You will work directly with our data infrastructure, datasets and analytics tools that are used by the Product, Marketing, Sales, Sales Engineering, Finance and Customer Success teams every day.
You will contribute to a variety of exciting projects that range from designing robust and fully automated ETL processes to building tools for improving company-wide productivity with data. You have a passion for designing, implementing and operating stable, scalable and efficient solutions toflow data from production systems into the data warehouse. You are also a self-starter who is comfortable with ambiguity, pays close attention to detail and has the ability to work in a fast-paced environment.
In short, you will play a critical role in shaping our Analytics foundation. On the Analytics team we know new analytics technologies are emerging every day and we are excited about the impact they will have – we hope you share our enthusiasm!
BS/MS with quantitative focus (e.g. Economics, Computer Science, Mathematics, Physics, Statistics) or equivalent practical experience.
2+ years experience designing, implementing and maintaining production grade ETL processes and data pipelines.
2+ years experience operating databases (e.g. Redshift, MySQL, MongoDB) and advanced query authoring.
Knowledge of industrial grade data architectures and reporting tools (e.g. ChartIO, Tableau).
An eye for automation and instrumentation in all data-related aspects. Work experience in an inter-disciplinary/cross-functional field.
Working experience in SaaS companies.
Experience performing quantitative analysis and using data visualization tools to deliver dashboards at scale.
Strong cross-functional and interpersonal skills with demonstrated ability to communicate technical content to general audiences.