Data System Engineer | $60/hr Remote

Position: Data Engineer – AI Trainer

Type: Hourly contract

**Compensation: $**30-$60/hr

Location: Remote

Commitment: 10 to 40 hours per week

Role Responsibilities

• Design, develop, and optimize large scale data pipelines using Hadoop, Spark, and related big data technologies.
• Build and maintain scalable data architectures that support AI model training and analytics workloads.
• Integrate and manage real time data streams using Kafka, ensuring data reliability and quality.
• Deploy, orchestrate, and monitor distributed data processing systems on cloud platforms.
• Collaborate closely with data scientists and machine learning engineers to enable AI and LLM initiatives.
• Document complex data workflows and create clear training materials for technical teams.
• Enforce best practices across data engineering, including performance optimization, security, and scalability.
• Support AI and generative AI use cases through high quality data curation and pipeline design.

Requirements

• BSc in Computer Science, Data Engineering, or a closely related field.
• Strong hands on experience with big data technologies including Hadoop and Spark.
• Proven expertise using Kafka for real time data streaming and integration.
• Solid background in data engineering with experience building and scaling ETL pipelines.
• Practical experience working with major cloud platforms such as AWS, GCP, or Azure.
• Proficiency in programming or scripting languages such as Python, Scala, or Java.
• Excellent written and verbal communication skills with the ability to explain complex technical concepts.
• Strong problem solving and troubleshooting skills in distributed systems.
• Ability to work independently in a fully remote, collaborative environment.

Application Process (Takes 20 Min)

• Upload resume
• Interview (15 min)
• Submit form