Data Engineering Expert - AI Trainer
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
About AfterQuery
AfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation. We believe great AI comes from exceptional, human-generated data.
We're backed by top investors, including Y Combinator and Box Group, and support all leading AI labs.
Apply today to contribute to pushing the frontier of AI.
Apply here: https://experts.afterquery.com/apply/dee