Senior Data Engineer

At RabbitHole, we are on a mission to increase global economic opportunity by making crypto more accessible and meritocratic. We believe that by making it easy for protocols to distribute their tokens to users, we can help anyone in the world earn income through provable contribution rather than their background or credentials.

We have created an efficient way for protocols to distribute tokens by segmenting users based on on-chain & off-chain data. By completing on-chain tasks in various protocols, users build their on-chain resume and earn token ownership.

We recognized that protocols are constantly looking for new ways to find and engage users but don’t have an easy way to do so. Tokens of these protocols often fall in the hands of speculators who sit on centralized exchanges, rather than users of these networks. On the other hand, new users in crypto have a difficult time knowing where to start on their crypto journey and don’t know who to trust.

Our goal is to make it more efficient for protocols to distribute their token to network participants. By doing this, we are both driving more participation to protocols and making it easier for users to increase their ownership in protocols rather than speculators. By increasing the number of token holders who are using the network, we are making the underlying protocol more sustainable and putting more money in the pockets of users.

We're looking for product-obsessed individuals with early-stage startup experience who want to work with a dynamic fast-moving team and build the roadmap for RabbitHole to become the best way for protocols to distribute their token and engage their users. If this is you, we are super excited to meet you and learn more.




How'd you help onboard next wave of crypto users

 
Analyzing both off-chain and on-chain data to provide insights that guide protocols and the internal team in making decisions
 
Designing and implementing an engine to match prospective token holders with protocols, taking ownership of the process from start to finish
 
Promoting engineering practices and initiatives that prioritize code quality while still allowing for a high team velocity


Who you are

 
A data enthusiast who leverages data-driven approaches to problem-solving
 
Committed to writing clean, scalable, and maintainable code for team collaboration and efficiency
 
Demonstrated ability to make significant technical decisions and take responsibility for their outcomes
 
Experienced in deploying applications to production and passionate about user feedback and engagement
 
Thrives in a dynamic team environment that balances rapid iteration with feature delivery


Qualifications

 
4+ years of experience in a data-related role, working with a team on production-level projects
 
Bachelor's degree in computer science, data science, statistics, or a related field, or equivalent experience
 
Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders
 
Proven track record of deploying robust data pipelinesStrong proficiency in Python, R, or Scala
 
Expert proficiency in SQL
 
Deep knowledge and professional experience in operating large-scale data infrastructure, including data warehousing, data lakes, and distributed computing systems
 
Exposure to ML model development, with experience in data preprocessing, feature engineering, model training and validation, and model deployment
 
Passion for learning, with the ability to keep up with new technologies and industry trends, and introduce new ideas and best practices to the team


Responsibilities:

 
Design, deploy, and maintain data pipelines
 
Create scalable data infrastructure to support growing user base
 
Extract insights from large datasets with complex queries
 
Scale data infrastructure to handle large volumes of data and trafficImplement security measures to protect user data
 
Stay up-to-date with new tools and technologies and propose improvements to data architecture


Nice to haves

 
Early stage web3 startup experience
 
Experience building or using on-chain data such as Dune Analytics or Flipside