Data Engineering Expert
Its $80/hr is above the $75/hr median of the Law, Medicine & Finance roles open now, whose typical pay runs $40–$150/hr. How that pay moves week by week is in our research on Law, Medicine & Finance work.
Half of all Law, Medicine & Finance roles come down within 29.1 days of being listed, and 51.7% are still up after four weeks. This one was posted 295 days ago.
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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.
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
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
Where you can work
This role is 100% remote: you can work from any country except Andorra, Afghanistan, Angola, Argentina, Azerbaijan, Barbados, Bangladesh, Burkina Faso, Burundi, Bolivia, Brazil, Belarus, Belize, DR Congo, Central African Republic, Congo (Republic), Chile, Cameroon, China, Colombia, Cuba, Cape Verde, Djibouti, Dominica, Dominican Republic, Egypt, Eritrea, Fiji, Micronesia, Gabon, Grenada, Georgia, Ghana, Gibraltar, Guinea, Equatorial Guinea, Guinea-Bissau, Honduras, Haiti, Iraq, Iran, Japan, Kyrgyzstan, Cambodia, Kiribati, Comoros, St. Kitts and Nevis, North Korea, South Korea, Kazakhstan, Laos, Lebanon, Liberia, Lesotho, Libya, Monaco, Montenegro, Marshall Islands, Mali, Myanmar, Macau, Mauritania, Maldives, Malawi, Niger, Nigeria, Nicaragua, Nepal, Nauru, Papua New Guinea, Palestine, Palau, Paraguay, Russia, Saudi Arabia, Solomon Islands, Seychelles, Sudan, Sierra Leone, San Marino, Somalia, Suriname, South Sudan, São Tomé and Príncipe, Syria, Eswatini, Chad, Togo, Tajikistan, Timor-Leste, Turkmenistan, Tonga, Tuvalu, Ukraine, Uganda, Uruguay, Vatican City, St. Vincent and Grenadines, Venezuela, Vanuatu, Samoa, Yemen, Zambia and Zimbabwe.
From AfterQuery's job posting, checked 14 Nov 2026.
About AfterQuery
Expert reasoning and rubrics for frontier labs, weekly Stripe pay.
How it pays: Every Friday through Stripe, to a bank account in your own name, for the previous week's approved work; AfterQuery takes no fees, cards are not supported, and Stripe holds your first payout for 7 days (its Payments help page, read 13 Nov 2026).
When it pays: Every Friday, through Stripe, for the week before. How often others pay
Interview: on some roles or projects (AfterQuery pool skills assessment (plus an interview step)). Platforms with no interview
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