Crossing Hurdles logo

Data Analyst | $60/hr Remote

Crossing Hurdles
Department:Data Analysis
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Associate
Salary:$62,400 - $124,800
Skills:
HADOOPSPARKKAFKAETLAWSGCPAZUREPYTHONSCALAJAVA
👁️ Views: 17🚀️ Applied: 0
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Job Description

Posted on: February 3, 2026

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
Originally posted on LinkedIn

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👁️ Views: 17🚀️ Applied: 0
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