Data Engineer with AI

Job Title: Data Engineer with AI

Location: Remote

Duration: 12 Months + Extension

Bill Rate: $89/hr on C2C

Job Type: C2C/1099 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description:

We are looking for a Data Engineer with strong expertise in AWS, Python, and Conversational Analytics with a focus on secure, scalable, and resilient systems. This role will focus on developing knowledgebases and agents that allow business users to interact with data through natural language, while ensuring reliability, scalability, and efficiency across AWS cloud infrastructure.

Key Responsibilities

• Design, build, and optimizedatapipelines using AWS
• Implement security best practices acrossdata and AI pipelines
• Develop and maintain knowledgebases and agents and integrate structured and unstructureddatasources
• Implement and support machine learning workflows in SageMaker for model training, deployment, and monitoring.
• Leverage AWS Bedrock to build and deployconversationalAI solutions.
• Ensuredatalineage, and quality control across all conversational AI systems.
• Automate orchestration, monitoring, and logging fordatapipelines and conversational agents.
• Build and maintain CI/CD pipelines to enable secure, automated, and reliable deployments
• Collaborate with analytics, product, and business teams to design solutions that improve decision-making anddatademocratization.

Required Skills & Qualifications

• Experience with AWS services (S3, Athena, Lambda, Step Functions, Redshift Serverless, SageMaker, Bedrock)
• Strong proficiency in Python fordataengineering, automation, and API integration.
• Experience building knowledgebases and conversational agents or equivalent.
• Strong SQL skills and familiarity with large-scaledataenvironments.
• Solid understanding of ETL design, orchestration, and optimization in cloud platforms.

Preferred Qualifications :

• Experience with LLM integration into business workflows.
• Familiarity with lakehouse frameworks (Iceberg, Delta) for scalable analytics.
• Experience with DevOps/Infra-as-Code (Terraform, CloudFormation).
• Background in marketing analytics or customer intelligence use cases.