Sr. Data Engineer (GenAI & AWS) Remote/Hybrid with Travel

Simple Solutions; Jacksonville (FL); Hybrid; USD 96,000 - 131,000; Full time

Job summary

Simple Solutions seeks a Sr. Data Engineer (GenAI & AWS) to design and build scalable data pipelines in AWS, focusing on Retrieval-Augmented Generation and AI agent integration. Remote/hybrid with travel to client sites, time-zone coverage broadens the candidate pool across US West Coast.

Requires 12–20+ years, Python and cloud expertise. Key responsibilities include building pipelines with Lambda/S3, embedding/vector search, CI/CD with GitHub Actions, and deploying agents on Bedrock.

Qualifications

• Must have 12–20+ years of data/engineering experience.
• Experience with GenAI architectures and AWS cloud.
• Ability to design scalable data pipelines and AI-enabled workflows.

Responsibilities

• Design and develop data pipelines using AWS services.
• Build automated document-processing workflows with AI components.
• Implement vector search, embeddings, and RAG for knowledge retrieval.
• Develop and maintain AI agents with Bedrock and Claude SDKs.
• Create CI/CD pipelines with GitHub Actions and IaC with Terraform/AWS CDK.
• Optimize pipelines for scalability, security, and performance.

Skills

Python

SQL

TypeScript

AWS Step Functions

AWS Lambda

AWS S3

Amazon Textract

Amazon Comprehend

Document AI / OCR

Vector databases

Embeddings

RAG

Knowledge-base integration

Claude Agent SDK

Amazon Bedrock

GitHub Actions CI/CD

Terraform

AWS CDK

AWS IAM

API integrations

AgentCore Runtime

Tools

(none)

Job description

Sr. Data Engineer (GenAI & AWS) Remote/Hybrid with Travel

Contract | Simple Solutions | United States

Posted On 10/27/2026

Job Information

Consulting

Job Opening ID ZR_3103_JOB

Work Experience 15+ Years

$70-$95

City Jacksonville

State/Province Florida

32012

Job Description

Sr. Data Engineer (GenAI & AWS) Remote/Hybrid with Travel

The key is time zone coverage and so we can expand our search across the West Coast - remote/hybrid but necessarily located in the western time zones . You must be comfortable to travel to the client site for workshops/meetings.

Overall experience: 12-20+ years Cloud Platform: AWS Primary Language: Python

Key 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 structured and unstructured 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 Amazon 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.
  

Must-have vs. good-to-have skills

Must-have

Good-to-have

• Python, SQL
• TypeScript
• AWS Step Functions, Lambda, S3
• AWS Glue
• Amazon Textract and Comprehend
• Document AI / OCR
• Vector databases and embeddings
• Document chunking and indexing
• Advanced retrieval and reranking
• RAG and knowledge-base integration
• Amazon Bedrock
• GitHub Actions CI/CD
• Terraform / AWS CDK
• AWS IAM and API integrations
• AgentCore Runtime

Important: If this individual must personally build and deploy the Claude agents, move Claude Agent SDK and AgentCore Runtime into the must-have category.