Job Application for Data Engineer at Gemini

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.

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 help you buy, sell, and store your bitcoin and cryptocurrency.

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices increases productivity through more in-person collaboration where possible.

The Department: Data

The Role: Data Engineer

As a member of our data engineering team, you’ll shape the way we approach data at Gemini by using your engineering, analytical and communication skills to work with teams across the business. You know how to ask the right questions and are passionate about using data to support and drive informed business decisions. You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. You’ll mentor data engineers and analysts and guide our internal teams to use data to improve the product and achieve KPIs. Communicating your insights with leaders across the organization is paramount to success.

Responsibilities:

Design, automate, build, and launch scalable, efficient and reliable data pipelines into production using Python
Design, build and enhance dimensional models for Data Warehouse and BI solutions
Research new tools and technologies to improve existing processes
Work closely with data analysts to understand data integration and modeling requirements
Develop new systems and tools to enable the teams to consume and understand data more intuitively
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
Take ownership and can work autonomously

Minimum Qualifications:

3+ years experience in data engineering with data warehouse technologies
3+ years experience in custom ETL design, implementation and maintenance
3+ years experience with schema design and dimensional data modeling
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 tools(Informatica, Pentaho, SSIS, Alooma, 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:

Kafka, HDFS, Hive, Cloud computing experience is a plus
Experience with Continuous integration and deployment
Knowledge and experience of financial markets, banking or exchanges

It Pays to Work Here

The compensation & benefits package for this role includes:

Competitive starting salary
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 $104,000 - $130,000 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.

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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