
Data Engineering Expert - Remote Contract
Listing checked September 22, 2026 · pay as published by AfterQuery
Overview
AfterQuery hires data engineers for remote contract projects that run for 2 to 3 weeks at a time. You will build and deploy data infrastructure, document pipeline architecture, and resolve failures using tools such as DBT, Kafka, Spark, Snowflake, or Redshift. The role calls for 1 to 3 years of professional experience in data engineering or ETL work. The listing notes a 40-hour commitment each week, while individual project assignments can require 10 to 20 hours per week. Pay is estimated at $60 to $100 per hour, and the work comes from an early-stage Y Combinator-backed company.
What You'll Do5
- 1Write technical documentation for data flows, pipeline designs, and architecture decisions.
- 2Build and deploy data infrastructure on cloud platforms with tools such as DBT, Kafka, Spark, Snowflake, or Redshift.
- 3Work through async channels on data integration and warehousing projects.
- 4Diagnose and fix data pipeline failures.
- 5Resolve performance issues in data pipelines.
Requirements4
- 11 to 3 years of professional experience in data engineering, ETL development, or a related field.
- 2Proficiency in one or more of these tools: Moreso, DBT, Kafka, Spark, Snowflake, or Redshift.
- 3Bachelor's degree in Computer Science, Engineering, Information Systems, or another technical discipline.
- 4Strong problem-solving skills and the ability to work on technical tasks with little supervision.
Who Should Apply
The ideal candidate has 1 to 3 years in data engineering or ETL work, can point to real projects with DBT, Kafka, Spark, Snowflake, or Redshift, and holds a technical degree. This contract fits engineers who want short remote assignments from a Y Combinator-backed startup and can manage async collaboration. The role is less suitable for someone who needs live meetings each day, heavy onboarding, or one long-term team. Candidates often score low when they do not list the programming languages they use, because the application process requires that detail. Another common rejection point is showing coursework without professional pipeline or infrastructure work.
Salary Insight
Pay is project-based and starts at an estimated $60 per hour, with top end at $100 per hour. For a short remote contract, that range often aligns with engineers who have hands-on pipeline or ETL experience rather than those learning their first data stack. The listing does not mention benefits, overtime, or a fixed salary.
Pay and demand for Data Engineering roles
AggregatedTypical pay
$75/hour
This role
$60–$100/hr
Most Data Engineering roles pay $54–$90 per hour. This role's pay falls inside that range.
Based on 391 similar roles that publish pay · 58 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.
- Live similar roles
- 476
- Listed in last 30 days
- 226
- Remote
- 92%
Hiring most right now: micro1 (205) · Mercor (62) · Turing (42)
Most requested skills · share of roles
- python21%
- JAVA9%
- Typescript9%
- technical writing8%
Figures from Data Engineering roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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Compensation
$60–100/hr
Required Skills
Application Tip
List every programming language you use, and pair each with a concrete project. For example, name the language first, then add the measurable work you did with it. This detail satisfies the stated application requirement and helps reviewers confirm your fit.
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