Fuse EnergyRemote
Database Reliability Engineer
United States of America
Full Time
4 hours ago
H1B Sponsor Likely
Key skills
SQLPythonPostgresSchema DesignData ModelingDBTData ValidationData TestingData Quality AssuranceInfrastructure as CodePulumiAWS CDKAnalyticsdbtAWSCI/CD
About this role
Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. The Database Reliability Engineer will be responsible for ensuring the reliability and performance of the company's database infrastructure while building scalable data pipelines to support analytics and reporting needs.
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 and trustworthy datasets
- Identify and eliminate duplicates, improve data consistency, and enforce clean modelling standards
- Manage all database and infrastructure changes through IaC — minimise direct DB modifications
Requirements:
- 3+ years of experience in a backend engineering or data-focused engineering role
- Writes the cleanest SQL you've ever seen — 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) — treats the database as code, not a manual system
- Grasps new business domains quickly — able to translate unfamiliar logic into clean, intuitive data models without hand-holding
- Experience with ClickHouse or columnar databases
- Familiarity with cloud-based data orchestration tools (Dagster, Step Functions)
- CI/CD practices for data pipelines and transformations
- Experience operating databases at scale in a production environment