Remote Role: Senior Data Engineer (GenAI / AWS) | Amazon Bedrock | Claude Agent SDK | Python | 14+ years of experience
Remote, OR, United States
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Working pattern needs review — work setting source
Duration: 3+ Months (Extension Possible) Location: Los Angeles, CA (Remote/Hybrid) Employment Type: C2C
Listed location: Remote, OR, United States
Read the full posting- Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting
What you’ll work on
Full postingDesign and build scalable data pipelines with AWS Step Functions, Lambda, and S3
Build automated workflows that process structured and unstructured documents
Implement chunking, embeddings, vector indexing, semantic search, and RAG solutions
Build and deploy AI agents with Claude Agent SDK on Amazon Bedrock AgentCore Runtime
Develop CI/CD pipelines using GitHub Actions
From the employer’s posting
Design and develop scalable data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend.
Build automated document-processing workflows for structured and unstructured data.
Implement document chunking, embeddings, vector indexing, semantic search, and RAG solutions.
Build and deploy AI agents using Claude Agent SDK on Amazon Bedrock AgentCore Runtime.
Develop and maintain CI/CD pipelines using GitHub Actions.
What you’ll bring
All qualificationsCore experience
- 14+ years of data engineering experience
- AWS certification required
- Python and SQL
- AWS Step Functions, Lambda, S3, Textract, and Comprehend
- Vector databases, embeddings, and RAG knowledge-base integration
Qualification wording
14+ years of Data Engineering experience.
AWS certification is required.
Python, SQL
AWS Step Functions, Lambda, S3
Vector databases and embeddings
Tools in this posting
- Python
- SQL
- TypeScript
- AWS
- S3
- Terraform
Source — Tool mentions in context
Note: AWS certification is required. We are looking for a highly experienced Senior Data Engineer with strong expertise in AWS, Python, Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will design and build scalable AI-powered document processing solutions, vector search pipelines, and intelligent AI agents on AWS. Key Responsibilities
14+ years of Data Engineering experience. Python, SQL AWS Step Functions, Lambda, S3
Good-to-Have Skills TypeScript AWS Glue
Job Description Role: Senior Data Engineer (GenAI / AWS) Duration: 3+ Months (Extension Possible)
Experience: 14+ Years Note: AWS certification is required. We are looking for a highly experienced Senior Data Engineer with strong expertise in AWS, Python, Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will design and build scalable AI-powered document processing solutions, vector search pipelines, and intelligent AI agents on AWS.
Key Responsibilities Design and develop scalable data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend. Build automated document-processing workflows for structured and unstructured data.
Python, SQL AWS Step Functions, Lambda, S3 Amazon Textract and Comprehend
GitHub Actions CI/CD AWS IAM and API integrations Good-to-Have Skills
TypeScript AWS Glue OpenSearch, Pinecone, pgvector
LangChain / LlamaIndex Terraform / AWS CDK Additional Information
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 2026 · 1 day ago
- Recorded sightings
- 3
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
Role: Senior Data Engineer (GenAI / AWS)
Duration: 3+ Months (Extension Possible)
Location: Los Angeles, CA (Remote/Hybrid)
Employment Type: C2C
Experience: 14+ Years
Note: AWS certification is required.
We are looking for a highly experienced Senior Data Engineer with strong expertise in AWS, Python, Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will design and build scalable AI-powered document processing solutions, vector search pipelines, and intelligent AI agents on AWS.
Key Responsibilities
Design and develop scalable data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend.
Build automated document-processing workflows for structured and unstructured data.
Implement document chunking, embeddings, vector indexing, semantic search, and RAG solutions.
Develop and maintain vector databases and knowledge bases.
Integrate knowledge bases with AI agents for contextual information retrieval.
Build and deploy AI agents using Claude Agent SDK on Amazon Bedrock AgentCore Runtime.
Develop and maintain CI/CD pipelines using GitHub Actions.
Optimize data pipelines for scalability, security, reliability, and performance.
Must-Have Skills
14+ years of Data Engineering experience.
Python, SQL
AWS Step Functions, Lambda, S3
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
Claude Agent SDK
AgentCore Runtime
GitHub Actions CI/CD
AWS IAM and API integrations
Good-to-Have Skills
TypeScript
AWS Glue
OpenSearch, Pinecone, pgvector
LangChain / LlamaIndex
Terraform / AWS CDK
Additional Information
All your information will be kept confidential according to EEO guidelines.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Remote, OR, United States
Duration: 3+ Months (Extension Possible) Location: Los Angeles, CA (Remote/Hybrid) Employment Type: C2C
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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