Data Engineer

Website Gemini

Gemini is a next generation cryptocurrency platform that allows

About the job
About The Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Our flagship product, the Gemini Exchange, was built to be a compliant and secure platform to buy, sell, and store crypto. Our suite of retail products includes ActiveTrader, a high-performance platform for advanced traders. Gemini also offers the Gemini Credit Card providing real-time crypto rewards, the Gemini dollar (GUSD), a U.S. dollar-backed stablecoin, and Gemini Staking, allowing users to securely stake their tokens on-chain and receive rewards. Nifty Gateway, Gemini’s NFT platform, is the world’s premier marketplace for NFTs and digital art.

Gemini customers also have access to a wide range of institutional products tailor-made for high-net-worth individuals, asset and wealth managers, and hedge funds and liquidity providers seeking exposure to crypto. Customers looking to place large orders can use Gemini eOTC, a fully-electronic over-the-counter trading platform built for high-value bulk orders. For wealth management professionals, we offer a unique destination for their clients’ crypto portfolios from a single platform, and we enable fully electronic clearing and settlement of off-exchange crypto trades.

The Department: Analytics

Data and analytics are central to all of our business functions and drive many of our most important decisions at Gemini. The Analytics team is responsible for data architecture, data engineering, business intelligence, machine learning, and data governance functions that shape the way data is stored and leveraged across Gemini. Data engineers and Machine Learning engineers make up the Analytics team are responsible for building the primary decision support system that derives continuous value by enabling individuals and various functional groups to make data driven informed decisions via our reliable data processes, data products and advanced analytics ability. The projects executed by the team cover a wide-range of topics including user acquisition and customer journey, cryptocurrency performance, product analytics, order book analytics, risk analytics, enabling automated and scalable blockchain based reconciliation systems, building predictive models all the way to enabling anomaly and fraud detection.

The Role: Data Engineer

As a member of our data engineering team, you’ll deliver high quality work while solving challenges that impact the whole or part of the team’s data architecture. You’ll learn recent advances in the big-data space and provide solutions for large-scale applications aligning with the team’s long-term goals. Your work will help resolve complex problems with identifying root causes, documenting the solutions, and implementing operational excellence (data auditing, validation, automation, maintainability) in mind. Communicating your insights with leaders across the organization is paramount to success.


Design, architect and implement best-in-class Data Warehousing and reporting solutions
Lead and participate in design discussions and meetings
Mentor data engineers and analysts
Design, automate, build, and launch scalable, efficient and reliable data pipelines into production using Python
Build real-time data and reporting solutions
Design, build and enhance dimensional models for Data Warehouse and BI solutions
Research new tools and technologies to improve existing processes
Develop new systems and tools to enable the teams to consume and understand data more intuitively
Partner with engineers, project managers, and analysts to deliver insights to the business
Perform root cause analysis and resolve production and data issues
Create test plans, test scripts and perform data validation
Tune SQL queries, reports and ETL pipelines
Build and maintain data dictionary and process documentation


Minimum Qualifications

5+ years experience in data engineering with data warehouse technologies
5+ years experience in custom ETL design, implementation and maintenance
5+ years experience with schema design and dimensional data modeling
Experience building real-time data solutions and processes
Advanced skills with Python and SQL are a must
Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
Experience with one or more ETL frameworks (Custom, DBT, Databricks, etc)
Strong computer science fundamentals including data structures and algorithms
Strong software engineering skills in any server side language, preferable Python
Experienced in working collaboratively across different teams and departments
Strong technical and business communication


Preferred Qualifications

Spark, HDFS/S3, Messaging, Cloud computing (especially AWS) experience is a plus
Experience with orchestration frameworks like Airflow and continuous integration and deployment
Knowledge and experience of blockchain, financial markets, banking or exchanges
Knowledge of working with BI applications (Tableau/Looker/Power BI, etc)
Web development skills with HTML, CSS, or JavaScript


It Pays to Work Here

The Compensation & Benefits Package For This Role Includes

Competitive base salary
Discretionary annual bonus


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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