Data Engineering Expert

This role supports project-based work across data integration, ETL, analytics engineering, data warehousing, and infrastructure. You will complete technical assignments independently and document your work clearly for asynchronous collaboration.

• Document technical solutions, data flows, and pipeline architectures.
• Collaborate asynchronously on data integration and data warehousing projects.
• Build and deploy data infrastructure with cloud services and modern engineering tools.
• Troubleshoot data pipeline failures and investigate performance issues.
• Complete independent technical tasks while maintaining practical documentation.

What it pays and takes

Projects are remote and asynchronous. Accepted projects are expected to continue for 2 to 3 weeks, with a commitment of 10 to 20 hours per week for each project you accept.

• Pay: $60 to $100 per hour.
• Location: Remote, with eligibility limited to the countries specified for this role.
• Language: Professional fluency in English.
• Experience: 1 to 3 years in data engineering, ETL development, analytics engineering, or a related field.
• Technical skills: Strong proficiency in one or more of dbt, Kafka, Spark, Snowflake, or Redshift.
• Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
• Other requirements: Strong problem-solving skills and the ability to work independently on technical tasks.
• Helpful background: Cloud-based data infrastructure, modern data architectures, pipeline troubleshooting, data warehousing, technical documentation, and asynchronous project collaboration.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind artificial intelligence, including preparing, reviewing, and improving data and technical examples used by AI systems. OpenTrain is a platform where people find AI training and data-labeling projects, build a profile, and apply to opportunities across the industry.