Staff Analytics Engineer - Aurora Solar

Key Responsibilities

• Architect, build, and maintain robust, high‑performance data pipelines that ingest, transform, and store large volumes of solar design and performance data.
• Develop and optimize dbt models and Snowflake schemas to ensure clean, reliable, and query‑efficient data for downstream analytics.
• Design and implement monitoring, alerting, and data quality frameworks using Airflow and AWS services.
• Collaborate with product, engineering, and data science teams to translate business requirements into scalable analytical solutions and visualizations in Looker.
• Mentor junior engineers, establish best practices, and drive continuous improvement of the analytics stack.

Requirements

• 5+ years of experience building data pipelines and analytics platforms in a cloud environment, preferably AWS.
• Strong proficiency in Python and SQL, with hands‑on experience in dbt, Snowflake, and Airflow.
• Demonstrated ability to design data models, ensure data quality, and optimize query performance.
• Experience creating dashboards and self‑service analytics using Looker or similar BI tools.
• Excellent problem‑solving skills, ability to work cross‑functionally, and a passion for renewable energy data.