SQL Analytics Engineer Expert - Remote Contract
Listing checked September 22, 2026 · pay as published by AfterQuery
Overview
AfterQuery needs analytics engineers to craft SQL scenarios for frontier AI labs. You work from raw tables to tested models, then explain each modeling and query choice. The work spans BigQuery, Snowflake, Redshift, and dbt transformations, with grading on correctness and warehouse cost. You set your hours each week, and the role is 100% remote and async, with about 10 hours expected. Pay is $60 to $100 per hour, paid each week via Stripe.
What You'll Do6
- 1Build realistic analytics scenarios that begin with raw tables and end with tested data models.
- 2Write reference answers that lay out the modeling and query logic behind each decision.
- 3Grade model output for SQL accuracy and warehouse efficiency.
- 4Flag queries that look clean but return wrong or expensive results.
- 5Document data modeling reasoning in clear written English.
- 6Design test cases that check joins, window functions, CTEs, and query optimization.
Requirements8
- 1At least 2 years of professional analytics engineering or SQL heavy analytics work.
- 2Expert SQL across joins, window functions, CTEs, and query optimization.
- 3Hands-on work with a modern warehouse such as BigQuery, Snowflake, or Redshift.
- 4Clear written English for documenting data modeling reasoning.
- 5Availability for at least 10 hours each week.
- 6dbt or a similar transformation framework.
- 7Dimensional or semantic data modeling experience.
- 8Exposure to orchestration tools such as Airflow or Dagster.
Who Should Apply
The role suits an analytics engineer with 2+ years of production SQL, deep comfort with joins, window functions, CTEs, and query tuning, plus hands-on time in BigQuery, Snowflake, or Redshift. You should write clearly enough to explain why a model or query works, because reference answers and grading notes are part of the job. dbt, dimensional modeling, or Airflow and Dagster experience sets you apart. This work is less suitable if you only write simple SELECT statements or cannot commit at least 10 hours each week. Common reasons candidates fall short include general SQL familiarity without proof of warehouse efficiency or complex query patterns, and weak written documentation, since the role grades reasoning as much as final SQL.
Salary Insight
The listing posts $60 to $100 per hour, paid each week through Stripe. That band sits above many entry analytics contracts and matches engineers who bring 2+ years of production SQL and modern warehouse depth. Contract work with self-set hours can vary, so confirm expected weekly scope.
Pay and demand for Data Science & Analytics roles
AggregatedTypical pay
$75/hour
This role
$60–$100/hr
Most Data Science & Analytics roles pay $52–$100 per hour. This role's pay falls inside that range.
Based on 589 similar roles that publish pay · 103 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Compensation
$60–100/hr
Required Skills
Application Tip
Name the warehouses you have used (BigQuery, Snowflake, Redshift) and walk through one query optimization you wrote, including the before and after cost or runtime. Attach a short writing sample that explains a data model decision, because clear written English and modeling reasoning are stated requirements.
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