Senior Ledger Operations Engineer

Gemini
New York, New York; San Francisco, California$126k – $180kPosted 24 March 2026

Job Description

About the Company 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. The Department: Customer Support (Ledger Operations) 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. The Role: Senior Ledger Operations Engineer This role is required to be in person twice a week at either our San Francisco, CA or New York City, NY office. Responsibilities: Build and maintain API adapters for Gemini trade data Design and optimize data pipelines for ledger operations Automate ETL (Extract, Transform, Load) processes 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 Minimum Qualifications: 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 Preferred Qualifications: 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 It Pays to Work Here The compensation benefits package for this role includes: 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 Paid Parental Leave 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 num ... (truncated, view full listing at source)
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