
Data Engineer
Listing checked July 8, 2026 · pay as published by micro1
Overview
This role puts your data engineering skills to work in an exciting way: you'll help build and refine the datasets that teach next-generation AI models. No prior AI experience is needed—your deep knowledge of databases, pipelines, and data quality is what counts. You'll work remotely on a contract basis, earning a competitive hourly rate while making a tangible impact on how machines learn.
What You'll Do7
- 1Create, deploy, and maintain scalable ETL pipelines that pull in, transform, and combine data from various sources.
- 2Design and refine logical and physical data models for modern data warehouse environments.
- 3Work closely with different teams to figure out data needs and deliver reliable, well-structured data solutions.
- 4Keep an eye on data infrastructure, troubleshooting issues and tuning performance to handle growth efficiently.
- 5Guarantee data accuracy, consistency, and security across all systems and solutions you build.
- 6Write clear documentation for technical processes, system designs, and data flows so others can follow your work.
- 7Use advanced SQL and Python scripting to automate repetitive data tasks and streamline workflows.
Requirements7
- 1Expert-level command of MySQL for writing complex queries, designing schemas, and optimizing performance.
- 2Strong Python skills for data manipulation, scripting, and automation.
- 3Proven experience building and running ETL pipelines in a production setting.
- 4Solid grasp of data warehousing principles and best practices.
- 5Excellent communication skills, both written and verbal, with a knack for clear documentation and collaborative problem-solving.
- 6Ability to manage multiple priorities and stay productive in a remote, self-directed environment.
- 7A detail-oriented approach and commitment to delivering high-quality data solutions.
Who Should Apply
If you're a data engineer who enjoys building robust pipelines and shaping the data that powers cutting-edge AI, this role is for you. You're comfortable diving into complex SQL and Python work, thrive working independently from anywhere, and take pride in delivering clean, reliable data systems. You don't need AI experience—just solid engineering fundamentals and a curiosity to see your data used in ways that push technology forward.
Salary Insight
Hourly rate ranges from $30 to $130, depending on experience and fit.
Pay and demand for Data Engineering roles
AggregatedTypical pay
$70/hour
This role
$30–$130/hr
Most Data Engineering roles pay $44–$98 per hour. This role's pay falls inside that range.
Based on 1,126 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,291
- Listed in last 30 days
- 702
- Remote
- 97%
Hiring most right now: micro1 (385) · SME Careers (254) · Mercor (171)
Most requested skills · share of roles
- ai evaluation12%
- ai training12%
- llm evaluation11%
- data annotation9%
Figures from Data Engineering roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
$30–130/hr
Required Skills
Application Tip
When applying, include a specific example of an ETL pipeline you designed from scratch—mention the source data, transformation logic, and how you ensured data quality. Showing concrete impact will make your application stand out.
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