Senior Analytics Engineer

Summary

Alpaca is a fast-growing series B fintech company that’s raised over $120 million in funding. They are seeking a Senior Analytics Engineer to lead the vision for the transformation layer of their data platform, integrating data from various sources and ensuring high standards of data quality and availability for stakeholders.

Responsibilities

• Develop scalable patterns in the transformation layer to support consistent BI tools integration across business verticals
• Ensure data discoverability and maintain high standards of change management, including model testing and data monitoring, as Alpaca’s products evolve
• Seamlessly integrate the Lakehouse with BI tooling to create repeatable ways of surfacing metrics to end users
• Set a high standard for development practices, ensuring quality in new data models and their orchestration
• Collaborate closely with finance, operations, customer success, and marketing teams to meet data modeling needs

Skills

• 3+ years of experience in data engineering or data analytics, focusing on the transformation component of the ELT process
• Experience building scalable transformation layers, preferably through formalized SQL models (e.g., dbt)
• Experience in Python for transformations beyond SQL
• Experience with CI/CD and code version control
• Strong hands-on experience with relational databases (e.g., Postgres, Iceberg), including query optimization
• Ability to adapt quickly in a fast-paced environment and tailor solutions to evolving business needs
• Experience with ETL technologies for ingestion (e.g., Airbyte) and orchestration (e.g., Airflow)
• Experience working in a cloud environment (AWS or GCP)

Qualifications

Must Haves

• 3+ years of experience in data engineering or data analytics, focusing on the transformation component of the ELT process
• Experience building scalable transformation layers, preferably through formalized SQL models (e.g., dbt)
• Experience in Python for transformations beyond SQL
• Experience with CI/CD and code version control
• Strong hands-on experience with relational databases (e.g., Postgres, Iceberg), including query optimization
• Ability to adapt quickly in a fast-paced environment and tailor solutions to evolving business needs
• Experience with ETL technologies for ingestion (e.g., Airbyte) and orchestration (e.g., Airflow)
• Experience working in a cloud environment (AWS or GCP)

Benefits

• Competitive Salary & Stock Options
• Benefits: Health benefits start on day 1. In the US this includes Medical, Dental, Vision. In Canada, this includes supplemental health care. Internationally, this includes a stipend value to offset medical costs.
• New Hire Home-Office Setup: One-time USD $500
• Monthly Stipend: USD $150 per month via a Brex Card