Database Reliability Engineer

Fuse Energy is seeking a Database Reliability Engineer to join their team. This is a remote role focused on ensuring the reliability, performance, and scalability of Fuse's data infrastructure. Fuse Energy is an energy startup dedicated to making energy abundant and affordable by combining first-principles thinking with cutting-edge technology.

We are building a fully integrated energy company, from developing generation projects to installing distributed energy in homes. By selling directly to consumers, we cut out the middleman, lower costs, and pass savings on to our customers. Join us in our mission to fix Energy!

Company Overview

Fuse Energy is an innovative energy startup with a mission to make energy abundant and affordable. Having raised over $200M from top-tier investors, we are building a radically better energy system through integrated operations including solar, batteries, hardware development, grid infrastructure, real-time power trading, and AI implementation.

Quick Details

• Salary Range: Not Specified
• Job Type: Full-time
• Experience: 3 Year+
• Qualifications: bachelors-degree

Key Responsibilities

• Own the reliability, performance and scalability of Fuse's database infrastructure across Postgres and ClickHouse.
• Build and maintain scalable, reliable data pipelines to support analytics, reporting and product needs.
• Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models.
• Migrate and transform data from Postgres into ClickHouse, ensuring performance and reliability.
• Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams.
• Implement tests and data quality checks to ensure reliable, trustworthy datasets.

Requirements

• 3+ years in a backend engineering or data-focused engineering role.
• Excellent SQL; proficiency in Python and SQL is non-negotiable.
• Hands-on experience with relational databases, particularly Postgres.
• Experience designing schemas and building data models that reflect real-world business logic.
• Familiarity with DBT or similar data transformation frameworks.
• Strong understanding of data validation, testing and quality assurance practices.
• Manages all infrastructure through IaC tooling (Pulumi, AWS CDK), treating the database as code.
• Grasps new business domains quickly, translating unfamiliar logic into clean, intuitive data models.

Benefits

• Competitive salary and eligibility for equity.
• Biannual bonus scheme.
• Fully expensed tech to match your needs.
• Private health insurance.
• Breakfast and dinner allowance for office-based employees.