About the job
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The company is an energy startup on a mission to make energy abundant and affordable, fast. We combine first-principles thinking with cutting-edge technology to build a radically better energy system. We've raised over $200M from top-tier investors and are building a fully integrated energy company that develops solar, batteries, and other generation projects, builds hardware, improves grid infrastructure, trades power in real-time, utilizes AI across the business, and installs distributed energy in homes. By selling directly to consumers, we can cut out the middleman, lower costs, and pass the savings on to our customers. We are hiring a Database Reliability Engineer to own the reliability, performance, and scalability of the company's data infrastructure. This is a remote role.
Responsibilities
- Own the reliability, performance and scalability of the company'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.
- Identify and eliminate duplicates, improve data consistency and enforce clean modeling standards.
- Manage all database and infrastructure changes through IaC, minimizing direct DB modifications.
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.
- Bonus: ClickHouse or columnar databases; cloud-based data orchestration (Dagster, Step Functions); CI/CD for data pipelines and transformations; operating databases at scale in production.
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.
As we hire globally, benefits vary by location.
