AI-Driven Data Engineer for IoT & Cloud Solutions

Reply

Detroit (MI)

On-site

USD 85,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Benefits

Job summary

Reply is seeking a Data Engineer to join our team and contribute to data-driven solutions across IoT and cloud initiatives. You will design and maintain data pipelines, support data migrations, and collaborate with data scientists to build ML models and AI-powered services.

Requirements include US citizenship or green card per client needs, a Bachelor's degree, and at least three years of data engineering experience, with hands-on data platform work and strong Python skills.

Qualifications

  • 3 years of professional experience in data engineering or a related technical field.
  • 1 year of hands-on experience building, maintaining, or supporting data platforms.
  • 3 years’ experience with Python
  • Experience with AWS or Azure cloud platforms
  • Experience developing ETL pipelines and familiarity with ETL frameworks
  • Experience with Neo4j
  • Devops
  • Experience in CI/CD pipeline developments
  • US citizen or green card holder per client requirements
  • Bachelor's degree

Responsibilities

  • Support the planning and execution of data migration and integration initiatives
  • Assist in the design, development, and maintenance of data pipelines and ETL workflows
  • Work closely with data engineers and scientists to build and enhance machine learning models
  • Contribute to the development and deployment of AI-driven applications and services

Skills

Python
ETL pipelines
Data pipelines
CI/CD
DevOps practices

Education

Bachelor's degree

Tools

Neo4j
AWS
Azure
ETL frameworks

Job description

Reply is seeking a Data Engineer to join our team and contribute to data-driven solutions across IoT and cloud initiatives. You will design and maintain data pipelines, support data migrations, and collaborate with data scientists to build ML models and AI-powered services.

Requirements include US citizenship or green card per client needs, a Bachelor's degree, and at least three years of data engineering experience, with hands-on data platform work and strong Python skills.

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