Senior Data Engineer, GenAI, AWS, Python

TMS, LLC

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

Posted 10/30/2026contractRemote • California • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and developing data pipelines using AWS services, including Step Functions, Lambda, S3, Textract, and Comprehend, along with proficiency in Python and CI/CD practices using GitHub Actions. Strong capability in building AI agents and optimizing workflows for scalability and performance.

Highest-signal resume keywords

AWS Step FunctionsPython ProgrammingDocument Processing WorkflowsCI/CD PipelinesAI Agent Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentDocument ChunkingEmbeddingsVector IndexingSemantic SearchVector Database MaintenanceKnowledge Base IntegrationClaude Agent SDKAmazon Bedrock AgentCore RuntimeGitHub Actions

Tools & Technologies

AWSLambdaS3TextractComprehend

Industry Keywords

Retrieval-Augmented GenerationAutomated WorkflowsScalabilityReliabilitySecurity

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Design and develop data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend
Build automated document-processing workflows for extracting, transforming, and processing structured and unstructured data
Implement document chunking, embeddings, vector indexing, and semantic search
Develop and maintain vector databases and knowledge bases to support Retrieval-Augmented Generation (RAG)
Integrate knowledge bases with AI agents for contextual information retrieval
Build AI agents using Claude Agent SDK
Deploy AI agents on Amazon Bedrock AgentCore Runtime
Develop CI/CD pipelines using GitHub Actions to automate builds, testing, and deployments
Optimize data pipelines for scalability, reliability, security, and performance

Requirements

What you’ll need

14+ years of experience
Cloud platform: AWS
Primary language: Python
Experience designing and developing data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend
Experience building automated document-processing workflows for structured and unstructured data
Experience implementing document chunking, embeddings, vector indexing, and semantic search
Experience developing and maintaining vector databases and knowledge bases for Retrieval-Augmented Generation (RAG)
Experience integrating knowledge bases with AI agents
Experience building AI agents using Claude Agent SDK and deploying them on Amazon Bedrock AgentCore Runtime
Experience developing CI/CD pipelines using GitHub Actions
Ability to optimize data pipelines for scalability, reliability, security, and performance

Benefits

Comp & perks

Contract duration of 3+ months, with extension possible
Remote work arrangement