Sr Data Engineer: GenAI & AWS, Remote/Hybrid with Travel

Simple Solutions; Jacksonville (FL); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Simple Solutions is seeking a Sr. Data Engineer (GenAI & AWS) with strong experience in building scalable data pipelines and AI-enabled workflows.

This role focuses on designing and deploying end-to-end data processing architectures using AWS services such as Step Functions, Lambda, S3, Textract, and Comprehend. You will work on retrieval-augmented generation (RAG) and knowledge-base integration with AI agents.

Qualifications

• Proficiency in Python and SQL for data engineering tasks.
• Hands-on experience with AWS data services (Step Functions, Lambda, S3).
• Experience with vector databases, embeddings, and retrieval-augmented generation.
• Ability to design scalable, secure data pipelines.

Responsibilities

• Design and develop data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend.
• Build automated document-processing workflows for extracting, transforming, and processing data.
• Implement document chunking, embeddings, vector indexing, and semantic search.
• Develop and maintain vector databases and knowledge bases to support Retrieval-Augmented Generation (RAG).
• Integrate knowledge bases with AI agents for contextual information retrieval.
• Build AI agents using Claude Agent SDK and deploy them on Bedrock AgentCore Runtime.
• Develop CI/CD pipelines using GitHub Actions to automate builds, testing, and deployments.
• Optimize data pipelines for scalability, reliability, security, and performance.

Skills

Python

SQL

RAG

Knowledge retrieval

Tools

AWS Step Functions

Lambda

S3

AWS Glue

Textract

Comprehend

Amazon Bedrock

Terraform / AWS CDK

GitHub Actions

Job description

Simple Solutions is seeking a Sr. Data Engineer (GenAI & AWS) with strong experience in building scalable data pipelines and AI-enabled workflows.

This role focuses on designing and deploying end-to-end data processing architectures using AWS services such as Step Functions, Lambda, S3, Textract, and Comprehend. You will work on retrieval-augmented generation (RAG) and knowledge-base integration with AI agents.