Senior Analytics Engineer

We are seeking an Analytics Engineer to own and execute the vision for our data transformation layer. You will join our 100% remote team and work closely with Data Engineers and Data Scientists to build robust, scalable data models using dbt and Trino on our GCP-based, open-source data infrastructure.

Requirements

• 4+ years of experience in analytics engineering or data engineering with a strong focus on the "T" (transformation) in ELT.
• Proven track record of owning data products end-to-end, applying analytics and data engineering best practices to ensure data quality, scalability, and robust data models.
• Comfortable working with ambiguity and collaborating with stakeholders to define requirements; able to take ownership with minimal oversight in a fast-paced environment.
• Experience proactively identifying and implementing improvements to data warehouse performance and ETL efficiency.
• Expert-level SQL and DBT skills for complex queries and data transformations.
• Proficiency in Python for transformations that extend beyond SQL.
• Hands-on experience with query optimization across OLTP and OLAP systems (e.g., Postgres, Iceberg).
• Proficiency with Semantic Layer modelling (e.g. Cube, dbt Semantic Layer).
• Experience owning CI/CD workflows and establishing team-wide standards for version control and code review (e.g., Git).
• Familiarity with cloud environments (GCP or AWS).

Benefits

• Competitive Salary
• Stock Options
• Health Benefits
• New Hire Home-Office Setup: One-time USD $500
• Monthly Stipend: USD $150 per month via a Brex Card