Data Engineer | Remote | $180,000/year
Listing checked September 10, 2026 · pay as published by Micro1
Overview
As a Data Engineer at micro1, you will build and scale the data infrastructure that powers AI-driven products and research. You will develop distributed data pipelines, manage large-scale datasets across cloud environments, and design reliable data systems that support data processing, experimentation, and model development at scale. The role involves working with Python, SQL, Spark, and AWS to create robust data solutions. You will collaborate with AI researchers, data scientists, and engineering teams to support data-intensive applications.
What You'll Do8
- 1Design, build, and maintain scalable data pipelines that ingest, process, and transform large datasets from various sources.
- 2Develop and tune distributed data processing workflows using Spark and cloud-native technologies.
- 3Build and maintain data storage solutions across SQL and NoSQL systems, ensuring scalability, performance, and reliability.
- 4Design and implement data architectures on AWS to support high-volume data ingestion, processing, and distribution.
- 5Write efficient Python and SQL code to extract, transform, validate, and analyze large datasets.
- 6Ensure data quality, integrity, monitoring, and operational reliability across data pipelines and storage layers.
- 7Collaborate with AI researchers, data scientists, and engineering teams to support data-intensive applications and experimentation.
- 8Implement automation, orchestration, and monitoring workflows to support scalable and efficient data operations.
Requirements5
- 1Strong proficiency in Python, SQL, and distributed data processing frameworks such as Apache Spark.
- 2Hands-on experience with AWS data services and cloud-native data architectures.
- 3Experience working with both SQL and NoSQL databases.
- 4Experience managing and processing large-scale datasets in distributed environments.
- 5Strong understanding of data partitioning, performance optimization, and scalable data architectures.
Who Should Apply
This role suits data engineers with solid experience in Python, SQL, Spark, and AWS, who have built and maintained large-scale data pipelines. Candidates should be comfortable with both SQL and NoSQL databases and understand data partitioning and performance tuning. The position is less ideal for those seeking a purely front-end or machine learning modeling role, as the focus is on data infrastructure. A common reason candidates get rejected is lacking hands-on experience with distributed processing frameworks like Spark. Another is not demonstrating familiarity with cloud-native data architectures on AWS.
Salary Insight
The pay range for this full-time position is a base salary of $100,000 to $150,000 USD per year. Employees are eligible for equity compensation and may receive performance-based bonuses. Benefits include up to 100% reimbursement for health insurance premiums, paid time off, a 401(K) plan with company match, and other perks for a remote-first workforce.
Pay and demand for Data Engineering roles
AggregatedTypical pay
$73/hour
This role
$4–$5/hr
Most Data Engineering roles pay $42–$100 per hour. This role's pay sits below that range.
Based on 1,094 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
- 1,269
- Listed in last 30 days
- 494
- Remote
- 97%
Hiring most right now: micro1 (372) · SME Careers (254) · Mercor (157)
Most requested skills · share of roles
- ai training13%
- llm evaluation11%
- ai 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
$4–5/hr
Required Skills
Application Tip
Highlight specific projects where you used Python, SQL, Spark, and AWS to handle large-scale data. Quantify results, such as the volume of data processed or improvements in pipeline performance, to show your impact.
How NearSkill helps you apply
1. Check your job match
We compare your resume with the job requirements to help you understand how well your experience fits.
2. Continue to the employer’s website
We’ll direct you to the employer’s application portal, where you can complete the application.
3. Get updates by email
If NearSkill is handling follow-up for this role, we’ll email you when there’s an update on your screening.
Want to check your fit first?
See how your resume matches this role before applying.
Check my job matchSimilar open positions
Explore active roles that match your skills and interests.
Micro1
VerifiedData Engineer
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.
Micro1
VerifiedBig Data Engineer
This contract role at micro1 puts you at the center of building data systems that feed next-generation AI models. You will create and maintain large-scale pipelines, work with Python, and handle both relational and NoSQL databases. The position is fully remote, so you will need to manage your own schedule and communicate well in writing. Your work directly shapes how AI models learn and reason from real-world data.
Micro1
VerifiedAI Engineer
As an AI Engineer at micro1, you'll play a hands-on role in shaping how next-generation AI systems learn, reason, and perform. Your domain expertise — even without a formal AI background — will be the key ingredient for training models on real-world, high-quality data. Bring your strong engineering and cloud skills, and we'll provide the platform to deploy and scale impactful machine learning solutions.
Micro1
VerifiedData Scientist
As a Data Scientist with micro1, you'll play a hands-on role in refining the next generation of AI systems. Your core responsibility is to apply your analytical expertise — from statistics and data modeling to visualization — to help models learn and reason more effectively. No prior AI experience is required; your domain knowledge and data craft are what truly matter.
Micro1
VerifiedData Engineer
A full-time remote role for a data engineer who can build and maintain scalable ETL pipelines and handle both structured and unstructured data. You will transform raw information into reliable datasets that support research, analytics, and AI model work, with exposure to machine learning tools viewed as valuable. You’ll collaborate with researchers, data scientists, and engineers to prep data for AI initiatives, and you’ll work with familiar tools and environments to ensure solid data quality.
Micro1
VerifiedData Engineer
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.