Senior Data Engineer

HUMAN was founded in 2012 in a Brooklyn sci-fi bookstore by Tamer Hassan, Michael Tiffany, Dan Kaminsky, and Ash Kalb. Our humble beginnings led to the creation of the Human Defense Platform, the backbone of all our products that safeguards enterprises from sophisticated bots, fraud, and account abuse. Today we verify the humanity of more than 20 trillion interactions per week for some of the largest companies and internet platforms. 

Our hacker roots still permeate everything we do. You will be a part of the HUMAN front line in our commitment to protecting companies (and in turn, their customers) from both revenue and reputation risk caused by digital attacks. However, HUMAN is not the center of this story. Humans like yourself are. We firmly believe in putting people first. This approach spans our extensive total rewards package, inclusive of competitive compensation, benefits, stipends - as well as our  day-to-day culture - to ensure every human is empowered to do the best work of their life. We want to hear about the marathon you’re training for. We want to see pictures of your pets. We want to know your favorite robot (we have many).

 Even if you’re not a conventional “hacker” we can assure you that you are a hacker in your own right. We want to work with people like you who break down problems to build up better solutions. That’s what makes us HUMAN. You’ll be joining us at an exciting moment in the HUMAN story: we joined forces with PerimeterX in a market-changing merger, as well as recently acquired clean.io to enhance the Human Defense Platform. Together under the HUMAN brand, we will disrupt the economics of cybercrime. We hope you can join us in that mission.

We’re looking for an experienced data engineer to join our team and help lead the development of our data platform. If you’re passionate about big data and love solving complex data problems at scale, come join the team!

What you'll do:

• Take a leading part in the company’s data strategy, designing and building data flows and data pipelines from scratch
• Maintain and improve existing data pipelines and aggregation processes ingesting petabytes of data on a daily basis
• Work closely with our data analysts, data scientists and engineering teams to define and optimize ways we use our data
• Be the go-to person for every data related issue, assisting most teams within R&D

Who you are:

• 5+ years of experience as a big data engineer
• Prior experience writing in Go - an advantage
• Experienced with high-scale data pipelines over the cloud
• Managed data flows over a cloud-based data warehouse.
• Experience with Google Bigquery or Snowflake - an advantage
• Prior work with event-based system and messaging queues such as Kafka, RabbitMQ or cloud-managed queueing solution
• Team player with great communication and presentation skills