Big Data Engineer
micro1Legit · not rated yetPosted on 17 Apr 2026
Pay: $30–80/hr
- Who can apply
- Countries not stated in the listing
- Hours
- Hours vary · Freelance
- Where
- Remote, work from home
- Job type
- Expert (SME) review
- Openings
- 50 openings
At a glance: A freelance, remote expert (SME) review job with micro1. It pays $30–80/hr, with hours that vary. The listing doesn't say which countries can apply.
Ongoing · listed since 17 Apr 2026
micro1 keeps this listing open to recruit all year. It is still open, but it isn’t a new opening.
Countries not stated
The posting doesn't say which countries can apply, so check before you apply. What micro1 says in general: Recruits worldwide apart from residents of 21 countries and regions, among them China, Russia, Ukraine, Iran, Venezuela and Ethiopia; some listings accept applicants from the US, UK or Canada only
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What happens after you click Apply
- You leave AI Trainer HQ and go to micro1’s own site.
- Pick a role, apply and answer the screening questions attached to it
- Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
- Complete a technical assessment if the role has one, then a hiring-manager review
- Take the offer, sign your Deel contract and clear the KYC identity check
How this pay compares
This job pays more than 28% of the 205 other software engineering jobs on the board that state pay; 70% pay more.
- This job
- $55/hrMiddle of $30–80/hr
- Median on micro1
- $65/hrFrom 287 other paid jobs
- Median in software engineering
- $65/hrFrom 205 other paid jobs
Requirements
- Qualifications
- Big data
- Python
- Databases
- Data engineering
- Languages
- English
- Equipment
- Computer with a reliable internet connection
About this job
Job Title: Big Data Engineer
Job Type: Contractor
Location: Remote
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Key Responsibilities:
• Design, build, and maintain scalable big data pipelines and architectures to support robust data solutions.
• Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives.
• Implement data integration, transformation, and processing solutions using Python and relevant big data technologies.
• Develop, manage, and optimize distributed databases and storage systems for efficiency and reliability.
• Monitor, troubleshoot, and enhance data systems to ensure high availability and performance.
• Enforce data quality, security, and governance standards across all solutions.
• Document solutions and communicate complex technical concepts effectively, both in writing and verbally.
Required Skills and Qualifications:
• Proven expertise in big data engineering with hands-on experience building and maintaining large-scale data pipelines.
• Advanced proficiency in Python for data processing, automation, and integration.
• Deep understanding of relational and NoSQL databases, including optimization and management techniques.
• Experience with distributed data processing frameworks (e.g., Hadoop, Spark, Flink).
• Strong foundation in data modeling, ETL processes, and data warehousing principles.
• Excellent written and verbal communication skills, with the ability to convey technical ideas clearly to both technical and non-technical stakeholders.
• Detail-oriented, proactive, and self-motivated, thriving in remote and autonomous work environments.
Preferred Qualifications:
• Prior experience in fast-paced or startup-like environments supporting global teams.
• Expertise with cloud-based big data platforms (e.g., AWS, GCP, Azure).
• Familiarity with machine learning operations and data science workflows is a plus.
Listing history
- First seen on our board
- (9 days ago)
- Posted by micro1
- Last checked
- Source
- micro1
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