Senior Data Engineer, GenAI, AWS, Python

Job not on LinkedIn

🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TMS, LLC

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

💼 Consulting

🏛️ Government

Consulting • Government

TMS, LLC is a technology management and advisory firm (Technology Management Solutions) that provides IT advisory and consulting, program and project management, financial management, and organizational assessment services. The company works with U. S. federal government clients — including DHS OCIO, FEMA, the National Institute of Mental Health OCIO, and TSA — to improve mission performance, reduce costs, and modernize operations. TMS emphasizes experienced staff, proven processes, mentoring and exercises for system readiness, and cost allocation/charge-back methodologies for transparency and efficiency.

📋 Description

• 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

• 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

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

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