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# Data Engineer

- **Company:** Reply Inc
- **Location:** Detroit, MI, United States
- **Salary:** $85,000.0 - $100,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Migration, Data Structures, DevOps, Python (Programming Language), Machine Learning, Data Management, Virtual Agents, Data Pipelines, Databricks
- **Published:** July 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=164685095bb6c383

## About the Role

We are seeking a Data Engineer to join our team and contribute to the development of innovative data-driven solutions. The ideal candidate will have a passion for data analysis, machine learning, and artificial intelligence, with a strong desire to learn and grow in a dynamic environment., * US citizen or green card holder per client requirements

 * Bachelor's degree
 * 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.
 * Strong understanding of programming principles and data structures
 * 3 years' experience with Python
 * Experience with AWS or Azure cloud platforms
 * Experience developing ETL pipelines and familiarity with ETL frameworks
 * Experience with Databricks

Preferred Qualifications

 * Devops
 * Experience in CI/CD pipeline developments

## Description

Concept Reply, part of the Reply Network, is a leader in IoT solutions. We support and advise our customers in Automotive, Manufacturing, Smart Infrastructure and beyond in all aspects of Internet of Things (IoT) and Cloud Computing. From designing and developing customized IoT solutions to implementing and managing them seamlessly, Concept Reply helps customers unlock the potential of IoT., * 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


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