SQL & Analytics Engineer Expert

About the role

<p>Analytics engineers who live in dbt, BigQuery, and Snowflake to build the SQL scenarios frontier AI labs use to test model judgment.</p>

<p>AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We're hiring analytics engineers as contractors to author and grade the SQL and data modeling scenarios those evaluations run on.</p>

<p><strong>What you'll actually do</strong></p>

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

<p><strong>Who this is for</strong></p>

<ul><li>Practitioners with at least 2 years of analytics engineering or SQL heavy analytics work</li><li>Experts in SQL across joins, window functions, CTEs, and query optimization</li><li>Builders with hands on experience in a modern warehouse such as BigQuery, Snowflake, or Redshift</li><li>Clear writers who can document the reasoning behind a data modeling decision</li></ul>

<p><strong>Contract and pay</strong></p>

<ul><li><strong>$60 to $100/hr</strong>, paid weekly via Stripe. Your rate is set from your experience, not negotiated down after you start.</li><li>Fully remote, fully async. No fixed hours.</li><li>Minimum 10 hours per week, no maximum. Scale up or down week to week.</li><li>No screen recording, no keystroke monitoring, no idle timers.</li><li>Independent contractor. Ongoing project work rather than single task batches.</li></ul>

Why apply

• $60 to $100/hr, paid weekly via Stripe
• 100% remote and fully async
• Shape how frontier models write and reason about SQL
• Ongoing project work with hours you set each week

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

Required qualifications

• 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

Preferred qualifications

• dbt or a similar transformation framework
• Dimensional or semantic data modeling experience
• Orchestration exposure such as Airflow or Dagster