Senior Analytics Engineer

Responsibilities

• Design, build, and maintain scalable data models using dbt and SQL for financial reporting and near-real-time operational metrics.
• Establish and enforce best practices for data modeling, development, testing, monitoring, data quality, integrity, and discoverability.
• Collaborate with finance, operations, customer success, and marketing stakeholders to define requirements and deliver reliable data products.
• Create repeatable patterns for integrating data models with BI tools and reverse ETL processes.
• Own development quality through change management, source control, code reviews, and data monitoring.
• Identify and implement improvements to data warehouse performance and ETL efficiency.

Requirements

• 4+ years of experience in analytics engineering or data engineering, with a strong focus on transformation in ELT.
• Experience owning data products end-to-end and applying analytics and data engineering best practices.
• Ability to work with ambiguity, define requirements with stakeholders, and take ownership with minimal oversight.
• Expert-level SQL and dbt skills for complex queries and data transformations.
• Proficiency in Python for transformations beyond SQL.
• Hands-on experience optimizing queries across OLTP and OLAP systems, such as Postgres and Iceberg.
• Proficiency with semantic-layer modeling, such as Cube or the dbt Semantic Layer.
• Experience owning CI/CD workflows and establishing standards for version control and code review, such as Git.
• Familiarity with cloud environments, including GCP or AWS.

Nice to Have

• Experience with data ingestion tools such as Airbyte.
• Experience with orchestration tools such as Airflow.
• Brokerage operations experience or an interest in financial markets and financial-data modeling.

Compensation and Benefits

• Competitive salary and stock options.
• Health benefits.
• One-time USD $500 new-hire home-office setup benefit.
• USD $150 per month stipend via a Brex Card.