Data Engineer — AI-Driven Data Pipelines & ETL

Reply, Inc.

Michigan

Hybrid

USD 85,000 - 100,000

Full time

14 days+

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Job summary

Concept Reply is seeking a Data Engineer to contribute to data-driven solutions in IoT and AI-driven services. You will help design and maintain data pipelines, collaborate with data scientists, and support migration initiatives in a fast-paced environment.

The role emphasizes Python development, ETL workflows, cloud platform experience (AWS or Azure), and familiarity with Neo4j, with opportunities to work on ML/AI projects and scalable data platforms.

Qualifications

US citizen or green card holder per client requirements.
Bachelor's degree required.
3 years of professional experience in data engineering or a related technical field.
1 year hands-on experience building, maintaining, or supporting data platforms.
Strong understanding of programming principles and data structures.
3 years of Python experience.
Experience with AWS or Azure cloud platforms.
Experience developing ETL pipelines and familiarity with ETL frameworks.
Experience with Neo4j.

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

AWS

Azure

Neo4j

CI/CD

Education

Bachelor's degree

Tools

AWS

Azure

Neo4j

CI/CD pipelines

Job description

The role emphasizes Python development, ETL workflows, cloud platform experience (AWS or Azure), and familiarity with Neo4j, with opportunities to work on ML/AI projects and scalable data platforms.

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