You will complete tasks similar to those performed in data engineering, data infrastructure, ETL development, or analytics engineering roles. 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 skills
Strong proficiency in one or more of the following; Moreso, DBT, Kafka, Spark, Snowflake, Redshift.
Strong problem-solving skills and ability to work independently on technical tasks.
Experience and education
1–3 years of professional experience in data engineering, ETL development, or related fields.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field.
Assessment requirements
Resume
Schedule details
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.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
Hiring companyAfterQuery Experts
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