Data Engineer; GenAI/AWS; Independent Candidat - Local CA
Job in
Los Angeles, Los Angeles County, California, 90079, USA
Listing for:
Nexiva
Full Time, Contract
position
Listed on 2026-11-15
Job specializations:
-
Software Development
Job Description & How to Apply Below
Title: Senior Data Engineer (GenAI / AWS)
Location: Los Angeles, CA
Work Arrangement: Hybrid - 2 days onsite
Duration: 6+ month contract-to-hire
Experience Range: 6-10 years
Number of Positions: 1
Interview: Video
Locals Only
AWS Certification required.
Our client is seeking a Senior Data Engineer with 6-10 years of experience to design and build advanced data pipelines and AI-powered document processing solutions on AWS. This role focuses on developing end-to-end workflows that integrate generative AI, vector databases, and RAG architectures to support intelligent agent systems.
Responsibilities & Qualifications- Design and develop scalable data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend for extracting and processing structured and unstructured data
- Build automated document-processing workflows with document chunking, embeddings, vector indexing, and semantic search capabilities
- Develop and maintain vector databases and knowledge bases to support RAG (Retrieval-Augmented Generation) systems and integrate them with AI agents for contextual information retrieval
- Build and deploy AI agents using Claude Agent SDK and Amazon Bedrock Agent Core Runtime
- Create and maintain CI/CD pipelines using Git Hub Actions to automate builds, testing, and deployments
- Optimize data pipelines for scalability, reliability, security, and performance across production environments
- Implement infrastructure-as-code solutions using Terraform and AWS CDK for repeatable, maintainable deployments
- 6-10 years of professional experience as a Data Engineer or similar role
- Strong proficiency in Python, SQL, and Type Script
- Hands-on experience with AWS services:
Lambda, S3, Step Functions, Glue, IAM, and Bedrock - Demonstrated expertise with vector databases (Pinecone, pgvector, Open Search) and embedding technologies
- Experience building RAG systems, knowledge bases, and semantic search solutions
- Proficiency with AI/ML frameworks and libraries:
Lang Chain, Llama Index, and Claude Agent SDK - Experience with Document AI, OCR technologies (Textract), and NLP services (Comprehend)
- Familiarity with infrastructure-as-code tools (Terraform, AWS CDK) and CI/CD automation (Git Hub Actions)
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