Senior Analytics Engineer

Salary: $126,000 - 180,000 per year Requirements:

• We require 5+ years of experience in analytics engineering, data engineering, or a closely related field.
• We need strong expertise in designing dimensional data models and schemas for enterprise data warehouses.
• We look for hands-on experience building and maintaining scalable data transformation pipelines.
• We require experience creating analytics and BI solutions with tools such as Looker, Tableau, or Power BI.
• Advanced SQL proficiency is required, and Python skills for data transformation and automation are preferred.
• We expect experience turning business needs into scalable dimensional models and actionable insights.
• We value experience with modern transformation frameworks such as dbt.
• We are looking for someone who collaborates effectively across teams and departments.
• Strong technical communication and business communication skills are essential.
• Experience designing enterprise-scale dimensional data models and semantic layers is preferred.
• Experience creating trusted, reusable datasets for self-service analytics is preferred.
• Knowledge of blockchain, financial markets, banking, or exchanges is a plus.

• We design, architect, and implement best-in-class data warehousing and reporting solutions.
• We build and evolve scalable dimensional data models that serve as dependable foundations for data warehouse and BI use cases.
• We partner with product managers, data engineers, and business stakeholders to turn business needs into scalable models and actionable insights.
• We analyze data to generate practical insights for key stakeholders.
• We investigate root causes and resolve production and data issues.
• We develop and maintain automated data quality checks, validation frameworks, and testing to protect data accuracy and reliability.
• We optimize SQL transformations and data models for performance, scalability, and long-term maintainability.
• We create and maintain data dictionaries and process documentation.
• We research emerging tools and technologies to improve our existing processes.

• Architect
• Blockchain
• Data Warehouse
• Looker
• Power BI
• Python
• SQL
• Tableau
• Web3
• dbt
• Machine Learning

More:

We are Gemini, a global crypto and Web3 platform founded in 2014 by Cameron and Tyler Winklevoss, serving individuals and institutions in more than 70 countries with simple, reliable, and secure digital asset products and services. Our mission is to expand financial, creative, and personal freedom by providing trusted access to a decentralized future, and we aim to bridge traditional finance with the cryptoeconomy in a way that is more open, fair, and secure. Our Data team brings together engineers and data scientists to turn raw information into dependable intelligence that supports innovation, governance, and smart decision-making. This Senior Analytics Engineer role is part of our data organization, with a hybrid work approach at our U.S. hub offices and remote options for employees outside hub areas, though onboarding is completed in person. We offer competitive starting pay, a discretionary annual bonus, long-term equity, comprehensive health coverage, 401(k) matching, paid parental leave, and flexible time off.

last updated 33 week of 2026