SQL & Analytics Engineer Expert

AfterQuery builds evaluation data for frontier AI labs and hires contract analytics engineers to create and grade SQL and data modeling scenarios. The role involves authoring realistic analytics scenarios, writing reference answers, evaluating model output for correctness and efficiency, and identifying inaccurate or costly queries.

Responsibilities:

• Author realistic analytics scenarios from raw tables through tested data models
• Write reference answers with the modeling and query reasoning behind each decision
• Grade model output for SQL correctness and warehouse efficiency
• Flag queries that read clean but return wrong or expensive results

Requirements:

• 2+ years of professional analytics engineering or SQL heavy analytics work
• Expert SQL across joins, window functions, CTEs, and query optimization
• Hands on experience with a modern warehouse such as BigQuery, Snowflake, or Redshift
• Clear written English for documenting data modeling reasoning
• Able to commit at least 10 hours per week
• dbt or a similar transformation framework
• Dimensional or semantic data modeling experience
• Orchestration exposure such as Airflow or Dagster