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Expert Work · Project
Data Engineering Expert
This is a remote, project-based role for data engineering professionals with 1�3 years of work experience. You will complete tasks similar to those performed in data engineering, data infrastructure, ETL development, or analytics engineering roles. Work is over the next 2-3 weeks, asynchronous, and assigned on a projec
PLATFORMAfterQuery
LOCATIONRemote · eligibility varies
PAY$80/hr
SCHEDULESee role requirements
LAST CHECKED3 Nov 2026
THE OPPORTUNITY
Put your skills to work.
This is a remote, project-based role for data engineering professionals with 1�3 years of work experience. You will complete tasks similar to those performed in data engineering, data infrastructure, ETL development, or analytics engineering roles. Work is over the next 2-3 weeks, asynchronous, and assigned on a projec
- Pay
- $80/hr
- Type
- Project engagement
- Work
- Remote
About the role
This is a remote, project-based role for data engineering professionals with 1�3 years of work experience. You will complete tasks similar to those performed in data engineering, data infrastructure, ETL development, or analytics engineering roles. Work is over the next 2-3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10�20 hours per week for the projects you accept. This position offers highly competitive pay, exposure to real-world data pipeline and infrastructure challenges, and an excellent opportunity to boost your resume.
Why apply
- Fantastic Pay & Growth Opportunities � project based pay starts at est. $60/hour and can go up to $100/hour
- Flexible Time Commitment � Work on your schedule while gaining valuable experience
- Startup Exposure � Work directly with an early-stage Y Combinator-backed company, gaining hands-on experience that sets you apart
- Portfolio Building - Gain experience with modern data architectures and tools
Responsibilities
- Document technical solutions, data flows, and pipeline architectures
- Collaborate asynchronously on data integration and warehousing projects
- Build and deploy data infrastructure using cloud services and modern tools
- Troubleshoot and resolve data pipeline failures and performance issues
Required qualifications
- 1�3 years of professional experience in data engineering, ETL development, or related fields
- Strong proficiency in one or more of the following; Moreso, DBT, Kafka, Spark, Snowflake, Redshift
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field
- Strong problem-solving skills and ability to work independently on technical tasks
Role details are copied from the AfterQuery listing and can change. Check the platform before you apply.
Relevant skills
A few things to check
- Location and experience requirements.
- Schedule, compensation, and assessment process.
- Current availability on AfterQuery.
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