Remote Database Reliability Engineer - Postgres/ClickHouse

Fuse Energy; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity participation

Biannual bonus

Tech stipend

Private health insurance

Meals/Refreshments allowance

Job summary

Fuse Energy is hiring a Database Reliability Engineer to own the reliability, performance and scalability of our data infrastructure. This is a remote role, with responsibilities spanning Postgres and ClickHouse, scalable data pipelines, and DBT modeling.

This role demands strong SQL and Python, hands-on database experience, and a focus on data quality. It emphasizes IaC, collaboration with analytics teams, and scalable data architecture in a growing energy tech company.

Qualifications

• 3+ years in a backend or data-focused role.
• Excellent SQL and Python skills are required.
• Experience with relational databases, especially Postgres.

Responsibilities

• Own the reliability, performance and scalability of Fuse's database infrastructure across Postgres and ClickHouse.
• Build and maintain scalable data pipelines for analytics and reporting.
• Design and evolve analytical schemas and data models.
• Migrate data from Postgres to ClickHouse ensuring performance and reliability.
• Develop and maintain DBT models reflecting business domains.
• Implement data quality tests and validation checks.
• Improve data modeling standards and reduce duplicates.
• Manage infrastructure changes through IaC tooling.

Skills

SQL

Python

PostgreSQL

DBT

Data modeling

IaC

Data validation

ClickHouse (bonus)

Education

Bachelor's degree in Computer Science, Engineering or related field

Tools

PostgreSQL

ClickHouse

DBT

Pulumi

AWS CDK

Dagster

Job description

Fuse Energy is hiring a Database Reliability Engineer to own the reliability, performance and scalability of our data infrastructure. This is a remote role, with responsibilities spanning Postgres and ClickHouse, scalable data pipelines, and DBT modeling.

This role demands strong SQL and Python, hands-on database experience, and a focus on data quality. It emphasizes IaC, collaboration with analytics teams, and scalable data architecture in a growing energy tech company.