Senior Data Engineer – GenAI, AWS, Python

TMS, LLC

. Design and develop scalable data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend .

Posted 10/22/2026contractRemote • Los Angeles • California • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in designing and developing scalable data pipelines using AWS technologies, along with proficiency in Python and SQL for advanced data processing and integration. Capable of building automated workflows and deploying AI agents for enhanced information retrieval and processing.

Highest-signal resume keywords

AWS CertificationData Engineering ExperiencePython ProficiencySQL ProficiencyExperience with AWS Step Functions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentDocument ChunkingVector IndexingSemantic SearchRAG SolutionsDocument AI/OCRAdvanced RetrievalCI/CD Pipeline DevelopmentKnowledge Base IntegrationAPI Integrations

Tools & Technologies

AWS Step FunctionsAWS LambdaAmazon S3Amazon TextractAmazon ComprehendClaude Agent SDKAmazon BedrockAgentCore RuntimeGitHub ActionsVector Databases

Certifications & Qualifications

AWS Certification

Industry Keywords

Data EngineeringDocument ProcessingAutomated WorkflowsScalabilityReliabilityPerformance OptimizationKnowledge BasesAI AgentsC2C Contract EngagementCalifornia Local

Tech Stack

Tools & technologies

AWSPythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

12+ years of Data Engineering experience
AWS certification is required
Local to California only
Proficiency in Python and SQL
Experience with AWS Step Functions, Lambda, and S3
Experience with Amazon Textract and Comprehend
Knowledge of Document AI/OCR
Experience with vector databases and embeddings
Experience with document chunking and indexing
Experience with advanced retrieval and reranking
Experience with RAG and knowledge-base integration
Experience with Amazon Bedrock
Experience with Claude Agent SDK
Experience with AgentCore Runtime
Experience with GitHub Actions and CI/CD
Knowledge of AWS IAM and API integrations
C2C contract engagement

Benefits

Comp & perks

Contract duration of 3+ months with possible extension
Remote/hybrid work arrangement
Confidential handling of information according to EEO guidelines