Gemini
Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.
As a team within the Support group, the team is data driven and customer-centric. Team members work closely with data scientists, engineers, product managers, and corporate operational stakeholders to reconcile data. Projects range from the very urgent, short sprint to redesigning long-term solutions to improve scalability and automation. Ledger Operations primary goal is to ensure high quality, scalable data reconciliation with proactive monitoring and reducing delays for reactive corrections. This team is responsible for building the “next generation” of reconciliation tools to maintain and expand Gemini’s internal reconciliation processes.
This role is required to be in person twice a week at either our San Francisco, CA or New York City, NY office.
Build and maintain API adapters for Gemini trade data
Design and optimize data pipelines for ledger operations
Optimize SQL queries and database performance
Contribute to the next generation of ledger reconciliation processes and reporting
Collaborate with third-party vendors, Data Analytics team, and Cryptocore engineers
Support data processing for the blockchain reconciliation project
Develop and maintain data adapters for real-time data processing
Create and implement data validation processes
Develop customized reporting solutions
Investigate and identify root causes of exception reports
5+years implementing a reconciliation system while improving existing data pipelines
Experience building real-time data solutions, data-lake and data warehousing technologies
Experience building and integrating web analytics solutions
Advanced SQL skills is a must
Experience with gRPC, Websocket and REST API
Experience and expertise in Databricks, Spark/PySpark, Kafka streaming, Apache Flink, Airflow, Hadoop etc.
Skilled in programming languages Python, Scala, Rust or Go
Experience with one or more MPP databases(Redshift, Timescale, StarRock)
Able to identify gaps in existing reconciliation processes
Extensive ETL and database experience with financial transaction systems for (banking systems, exchange systems)
Experience with Datadog, cloudwatch or other alert monitoring systems
Financial certifications are not required, but encouraged. Understanding the regulatory landscape in traditional financial markets will lend well as the digital asset space evolves
Financial Reporting Requirements for publicly traded companies
Competitive starting pay
A discretionary annual bonus
Long-term incentive in the form of a new hire equity grant
Comprehensive health plans
401K with company matching
Flexible time off
Salary Range : The base salary range for this role is between $126,000 - $180,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.
In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce.
At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.
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Qualifications: 5+ years experience, Reconciliation systems, data pipelines, Real-time data solutions, data-lake, data warehousing, web analytics solutions, SQL, gRPC, Websocket, REST API, Databricks, Spark/PySpark, Kafka streaming, Apache Flink, Airflow, Hadoop, Python, Scala, Rust, Go, MPP databases, Redshift, Timescale, StarRock, ETL, financial transaction systems, banking systems, exchange systems, Datadog, cloudwatch, alert monitoring, Hybrid work