Remote Role: Senior Data Engineer (GenAI / AWS) | Amazon Bedrock | Claude Agent SDK | Python | 12+ years of experience | Local to CA only
Los Angeles, CA, 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) - Local to CA Only Employment Type: C2C
Work setup in the employer’s posting: Remote
From the employer’s 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 develop scalable data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend.
Document chunking and indexing
From the employer’s posting
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.
Vector databases and embeddings Document chunking and indexing Advanced retrieval and reranking
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
12+ 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: 12+ 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 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 22, 2026 · 6 days ago
- Recorded sightings
- 10
- 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) - Local to CA Only
Employment Type: C2C
Experience: 12+ 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
12+ 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
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Los Angeles, CA, United States
Duration: 3+ Months (Extension Possible) Location: Los Angeles, CA (Remote/Hybrid) - Local to CA Only Employment Type: C2C
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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