Big Data Engineer

The Work

You will build and maintain large-scale data pipelines and the systems that process, store, and move data for AI projects. The work combines Python engineering, data integration, database optimization, system reliability, and clear technical communication.

• Design, build, and maintain large-scale big data pipelines and architectures.
• Use Python and distributed data technologies to integrate, transform, and process data.
• Develop, manage, and optimize relational, NoSQL, and distributed database and storage systems.
• Monitor performance, troubleshoot problems, and improve availability, efficiency, and reliability.
• Apply data quality, security, and governance standards across data solutions.
• Document technical implementations and explain complex concepts to technical and non-technical stakeholders.

What It Pays and Takes

This is remote, part-time contract work. The role is open to candidates in the countries listed below and requires professional fluency in English.

• $30 to $80 per hour.
• Remote, part-time contractor role.
• Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.
• Professional fluency in English.
• Hands-on experience building and maintaining large-scale data pipelines.
• Advanced Python proficiency for data processing, automation, and integration.
• Strong knowledge of relational and NoSQL databases, including optimization and management.
• Experience with distributed processing frameworks such as Hadoop, Spark, or Flink.
• A solid foundation in data modeling, ETL processes, and data warehousing.
• Excellent written and verbal communication skills, with a detail-oriented and self-directed working style.
• Helpful background includes supporting global teams in fast-moving or startup-like environments.
• Familiarity with AWS, GCP, or Azure big data platforms, machine learning operations, and data science workflows can strengthen your fit.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training work is the human side of building artificial intelligence, including preparing and reviewing the data that models learn from. OpenTrain helps people find these projects, build a profile, and apply in one place.