Data Engineer
Listing checked September 2, 2026 · pay as published by micro1
Overview
As a Data Engineer at micro1, you'll play a key role in powering the next generation of AI systems by building and maintaining the data infrastructure that fuels their learning. This is a fully remote contract role where your work on scalable ETL pipelines and Python code will directly impact how models reason and perform. If you’re a self-motivated engineer who thrives on solving complex data challenges and wants to see your contributions shape cutting-edge AI, this is your opportunity.
What You'll Do7
- 1Design, build, and maintain scalable ETL pipelines to ensure seamless data integration and transformation from multiple sources.
- 2Partner with cross-functional teams to understand data needs and develop custom solutions that align with business goals.
- 3Optimize existing data workflows for better performance, reliability, and scalability — constantly looking for ways to improve.
- 4Monitor production data pipelines, quickly diagnosing and resolving issues to maintain strong data integrity.
- 5Write clean, well-documented Python code that follows industry best practices and is easy for others to understand and maintain.
- 6Implement robust data validation and quality checks throughout the ETL processes to ensure high-quality inputs for AI training.
- 7Translate complex technical concepts into clear communication for both technical and non-technical stakeholders, emphasizing collaboration and transparency.
Requirements7
- 1Expert-level proficiency in Python — you can write efficient, production-ready code and debug even the trickiest issues.
- 2Extensive hands-on experience building and maintaining ETL pipelines and data workflows in a production environment.
- 3Proven ability to work independently in a fully remote setting, managing your time and priorities effectively.
- 4Exceptional written and verbal communication skills, especially when explaining technical details to diverse audiences.
- 5Strong analytical and problem-solving mindset with sharp attention to detail — you catch errors before they become problems.
- 6Demonstrated expertise in debugging and optimizing large-scale data systems for speed and reliability.
- 7Solid understanding of data modeling, data warehousing, and core data engineering best practices.
Who Should Apply
This role is perfect for a data engineer who is passionate about the intersection of data and AI — someone who enjoys building robust pipelines from scratch, optimizing them for performance, and ensuring data quality. You thrive in a remote, autonomous environment, communicate clearly across teams, and are eager to see your work directly influence how AI models learn. If you love solving complex data puzzles and want to be part of something groundbreaking, micro1 is looking for you.
Salary Insight
The role offers an hourly rate between $20 and $60 — compensation will likely depend on your experience level and specific skills.
Pay and demand for Data Engineering roles
AggregatedTypical pay
$70/hour
This role
$20–$60/hr
Most Data Engineering roles pay $44–$98 per hour. This role's pay sits below 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
$20–60/hr
Required Skills
Application Tip
When applying, highlight a specific ETL pipeline you built or optimized — include details on the tools (e.g., Python, SQL, Airflow), the scale of data handled, and any impact on downstream AI or analytics. A brief walkthrough in your cover letter or portfolio will set you apart.
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