Senior Data Engineer

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DCM InfoTech is a technology company providing IT managed services to clients globally for several decades specially in USA. Our office is located in Fremont CA and to know more details about DCM InfoTech IT services and client. Please visit our website at ;/p>

Title: Senior Data Engineer / AI Workflow Engineer
Location: Remote, (EST Hours)
Duration: 12+ months Contract (W2)

Prefer Alpharetta/Atlanta, GA (or Boca Raton, FL) but open to remote (EST Hours) - candidates may be expected to work in a hybrid arrangement depending on team needs. Remote candidates working EST hours are acceptable.

Role Overview
We are seeking a Data Engineer / AI Workflow Engineer to support the development and enhancement of enterprise data processing pipelines and AI-driven workflows. This role will focus on designing, building, and optimizing ETL processes while contributing to the integration and operationalization of AI solutions within a business environment.
The ideal candidate will have strong data engineering expertise, hands-on experience with Python-based ETL development, and familiarity with modern AI/ML development workflows and enterprise AI integrations.

Key Responsibilities
Design, develop, and maintain scalable ETL data pipelines for data ingestion, transformation, and delivery across systems
Work with both structured and unstructured data sources to support analytics and AI-driven use cases
Collaborate with engineering, product, and data teams to integrate AI solutions into existing platforms
Support AI development workflows including experimentation, evaluation, deployment, and optimization
Perform data preparation, feature engineering, and validation activities for AI/ML models
Ensure data quality, reliability, consistency, and performance across pipelines
Automate data processes and improve operational efficiency
Troubleshoot data pipeline issues and optimize performance for large-scale datasets
Create and maintain technical documentation, workflows, and implementation details

Required Skills & Experience
5+ years of experience in Data Engineering, ETL Development, or related technical roles
Strong hands-on experience with Python for ETL and data processing
Experience designing and maintaining data pipelines in cloud or distributed environments
Experience working with large datasets and improving data processing performance
Familiarity with AI/ML development workflows and AI solution integration
Strong troubleshooting, debugging, and problem-solving skills
Preferred Qualifications
Experience with enterprise AI tools and workflows such as:
o LLM orchestration
o Prompt engineering/workflows
o AI copilots or similar AI platforms
Experience working in enterprise or regulated data environments
Experience collaborating with cross-functional teams including:
o Product teams
o Engineering teams
o Data Science teams

Education Requirements Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical field Equivalent hands-on experience in data engineering or AI/ML workflows may be considered in place of a degree

Experience Requirements
5+ years of data engineering, ETL, or related experience
1+ years supporting AI/ML development workflows, including data preparation, model lifecycle support, or AI integration into applications