Staff Data Engineer, Decisioning Team

Gemini is a crypto exchange and custodian that allows customers to buy, sell, store, and earn more than 30 cryptocurrencies like bitcoin, bitcoin cash, ether, litecoin, and Zcash. Gemini is a New York trust company that is subject to the capital reserve requirements, cybersecurity requirements, and banking compliance standards set forth by the New York State Department of Financial Services and the New York Banking Law. Gemini was founded in 2014 by twin brothers Cameron and Tyler Winklevoss to empower the individual through crypto.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we want to help you buy, sell, and store your bitcoin and cryptocurrency. Crypto is not just a technology, it's a movement.

At Gemini, our mission is to empower the individual and that includes giving our employees flexibility of choice — our Office Optional Policy allows employees to choose to work from one of our physical locations or from home.

Select roles that are location-specific will still be eligible for flexible schedules.

The Role: Staff Data Infrastructure Engineer

Our Fraud team invents, builds, and scales new ways to prevent fraud and secure Gemini platforms and products across multiple cloud substrates. We use big data and machine learning to advance analytics and fraud detection techniques of many forms. We own our solutions through proof-of-concept, production-ready models, tuning, and efficacy monitoring. We are a growing, highly visible agile team where experimentation, collaboration, and spirited discussion are the norm.  

We are looking for an experienced, driven, and creative data engineer to join the team. As a team member, you will be responsible for a large-scale data processing pipeline across our fraud fighting capabilities. 

Responsibilities:

• Formulate innovative approaches to combat fraud and reduce risk with the powers of ML
• Contribute by extending and improving our ML frameworks and platform, creating next-generation capabilities
• Create new features, train new models, deploy them into a production environment 
• Become a thought leader in your domain, mentor junior engineers across the org, and help the org grow and evolve

Qualifications: 

• At least 4-6 years in data engineering with examples of delivering innovative product ideas.
• Ability to understand and implement architectural decisions in modern data stacks.
• Solid skill sets of big data-related data structures and algorithms
• Proficient experience in SQL and query design
• Proficient experiences in at least one mainstream language, like Python, Scala, or Java
• Experienced in data processing such as ETL and ELT
• A great communicator with a knack for precisely and concisely explaining problems and solutions to multiple stakeholders, e.g. senior management, product managers, etc. 
• A drive to continuously learn and develop new technologies
• Independently making decisions quickly based on your domain expertise.
• Demonstrated ability to collaborate as part of a highly distributed team.

Nice to have:

• Experience with using big-data tools (e.g Apache Flink, Apache Spark, Apache Kafka, etc.).
• Experience with deploying and configuring AWS Services within a VPC (e.g. Kinesis, SQS, AWS Serverless, EKS, MWAA).
• Experience with infrastructure-as-code (e.g. Terraform).
• Experience with designing and implementing real-time data pipelines.
• Experience with an orchestration tool (e.g. Airflow).

It Pays to Work Here

We take a holistic approach to compensation at Gemini, which includes:

• Competitive Compensation and Profit-Sharing Equity
• Flexible vacation policy
• Retirement Plan Matching
• Generous Parental leave
• Comprehensive health plans
• Training and professional development