gemini

Senior Analytics Engineer

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At a Glance

Location
New York, New York; Miami, Florida; Remote (USA)
Work Regime
remote
Experience
5+ years
Compensation
ange for this role is between $126,000 - $180,000 in the State of New York. Thi
Department
Data
Posted
2026-07-21T16:44:47-04:00

Key Requirements

Required Skills

Data EngineeringPower BIPythonSQLTableau

Domain Knowledge

  • Automation
  • Banking
  • Engineering
  • Finance

Requirements

5+ years of experience in analytics engineering, data engineering, or similar roles

Strong experience designing dimensional data models and schemas for enterprise data warehouses

Strong experience designing, building, and maintaining scalable data transformation pipelines

Strong experience developing analytics and BI solutions using platforms such as Looker, Tableau, or Power BI

Proficiency with Python for data transformation and automation is preferred

Experience translating business requirements into scalable dimensional data models and actionable insights

Compensation & Benefits

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

Responsibilities

Senior Analytics Engineer

As a member of our data team, you'll deliver high-quality work while designing scalable data models and solving challenges that impact the team's data architecture.

You'll stay current with advances in the modern data ecosystem and apply them to build scalable solutions that align with the team's long-term goals.

Your work will involve identifying root causes, documenting solutions, and implementing them with operational excellence in mind through data quality, validation, automation, and maintainability.

Communicating technical concepts and analytical insights with leaders across the organization is paramount to success.

Design, architect and implement best-in-class data warehousing and reporting solutions

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: Data

At Gemini, our Data team is the engine that powers insight, innovation, and trust across the company. We bring together world-class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists — all working in harmony to transform raw information into secure, reliable, and actionable intelligence. From building scalable pipelines and platforms, to enabling cutting-edge machine learning, to ensuring governance and cost efficiency, we deliver the foundation for smarter decisions and breakthrough products. We thrive at the intersection of crypto, technology, and finance, and we’re united by a shared mission: to unlock the full potential of Gemini’s data to drive growth, efficiency, and customer impact.

The Role:

Senior Analytics Engineer

As a member of our data team, you'll deliver high-quality work while designing scalable data models and solving challenges that impact the team's data architecture. You'll stay current with advances in the modern data ecosystem and apply them to build scalable solutions that align with the team's long-term goals. Your work will involve identifying root causes, documenting solutions, and implementing them with operational excellence in mind through data quality, validation, automation, and maintainability. Communicating technical concepts and analytical insights with leaders across the organization is paramount to success.