W2 only || Senior Data Engineer (GenAI / AWS) || Los Angeles, California- Must be Local

Los Angeles, CA, US • Posted 12 hours ago • Updated 10 minutes ago
Contract W2
12 Months
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • LOS
  • Generative Artificial Intelligence (AI)
  • Unstructured Data
  • Document Processing
  • Workflow
  • Information Retrieval
  • Testing
  • Scalability
  • Python
  • SQL
  • TypeScript
  • Amazon S3
  • Step-Functions
  • Vector Databases
  • Semantic Search
  • Machine Learning (ML)
  • LangChain
  • LlamaIndex
  • SDK
  • Artificial Intelligence
  • Optical Character Recognition
  • Natural Language Processing
  • Terraform
  • Amazon Web Services
  • Continuous Integration
  • Continuous Delivery
  • GitHub

Summary

Title: Senior Data Engineer (GenAI / AWS) -

Location: Los Angeles, CA

Work Arrangement: Hybrid - 2 days onsite Locals Only

Experience Range: 6-10 years

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 AgentCore Runtime
  • Create and maintain CI/CD pipelines using GitHub 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

Requirements

  • 6-10 years of professional experience as a Data Engineer or similar role
  • Strong proficiency in Python, SQL, and TypeScript
  • Hands-on experience with AWS services: Lambda, S3, Step Functions, Glue, IAM, and Bedrock
  • Demonstrated expertise with vector databases (Pinecone, pgvector, OpenSearch) and embedding technologies
  • Experience building RAG systems, knowledge bases, and semantic search solutions
  • Proficiency with AI/ML frameworks and libraries: LangChain, LlamaIndex, 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 (GitHub Actions)

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91022079
  • Position Id: 2026-52223
  • Posted 12 hours ago
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