Senior Analytics Engineer - Remote

Overview

The Senior Analytics Engineer role at Coinbase focuses on bridging the gap between data engineering, data science, and business analytics to build scalable data solutions that transform raw data into actionable insights.

In Short

• Work in a hybrid role combining data engineering, data science, and business analysis.
• Develop and maintain foundational data models for analytics.
• Empower stakeholders with scalable data models and dashboards.
• Collaborate with cross-functional teams for data solutions.
• Build frameworks and tools to maximize efficiency for data users.
• Focus on delivering value quickly while ensuring long-term maintainability.
• Engage in continuous feedback and improvement.
• Participate in in-person team and company-wide offsites.
• Handle data flows from creation to delivery.
• Use modern tools for data transformation and visualization.

Requirements

• Strong understanding of data modeling best practices.
• Expertise in prompt engineering for LLMs.
• Proficiency in advanced SQL techniques.
• Experience in Python with OOP principles.
• Ability to communicate technical concepts to business stakeholders.
• Experience in building and optimizing ETL/ELT pipelines.
• Proficiency in data visualization tools.
• Familiarity with version control and CI/CD practices.
• Knowledge of modern data architectures.
• Understanding of business challenges through analytics.

Benefits

• Competitive salary with bonus and equity eligibility.
• Comprehensive benefits including medical, dental, and vision.
• 401(k) plan.
• Collaboration with high-caliber colleagues.
• Opportunity to work in a mission-driven environment.
• Support for professional growth and development.
• Access to cutting-edge technologies.
• Flexible work arrangements.
• In-person team-building events.
• Commitment to diversity and equal opportunity.