Data Engineering Expert
Listing checked October 29, 2026 · pay as published by AfterQuery
Key details
- Pay
- $80/hr
- Location
- Remote
- Job type
- contract
- Posted
- January 23, 2026
Overview
AfterQuery seeks a Data Engineering Expert for remote, project-based work. Projects run over 2-3 weeks and ask for 10-20 hours per week, and you accept assignments one at a time. You will handle real data pipeline and infrastructure tasks, from deploying cloud-based data infrastructure to fixing pipeline failures and documenting data flows. The company is an early-stage Y Combinator-backed startup, so the work gives you exposure to modern data architectures with dbt, Snowflake, and Kafka depending on the project.
What You'll Do5
- Take on data engineering projects that run about 2-3 weeks, with an expected 10-20 hours per week for work you accept.
- Write documentation for technical solutions, data flows, and pipeline architectures.
- Coordinate with other data specialists through async updates on data integration and warehousing work.
- Build and deploy data infrastructure using cloud services and current data tools.
- Diagnose and fix data pipeline failures and performance issues.
Requirements4
- 1-3 years of professional experience in data engineering, ETL development, or a related field.
- Strong working knowledge of at least one tool from this list: Moreso, dbt, Kafka, Spark, Snowflake, or Redshift.
- Bachelor's degree in computer science, engineering, information systems, or another technical discipline.
- Proven problem-solving skill and the ability to carry technical tasks on your own.
Who Should Apply
Early-career data engineers with 1-3 years of ETL or pipeline work and hands-on use of dbt, Kafka, Spark, Snowflake, Redshift, or Moreso. The role suits someone who can take a short async project, document the data flow, and fix pipeline issues without close oversight.
Salary Insight
The listing sets compensation at $80.00/hr. It also states that project pay starts at an estimated $60/hour and can reach $100/hour, so the final figure depends on the project you accept and the tools it requires.
Pay and demand for Data Engineering roles
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
$80/hr
Taken from the listing itself.
Typical pay · estimated
$80/hour
Median of 430 similar roles that publish pay · 60 publish only a top rate; those count at the rate they gave
Most Data Engineering roles pay $55–$96 per hour. This role's pay falls inside that range.
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 592
- Listed in last 30 days
- 376
- Remote
- 88%
Hiring most right now: micro1 (172) · Turing (96) · AfterQuery (66)
Most requested skills · share of roles
- python29%
- code review14%
- debugging12%
- javascript11%
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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