Senior Data Engineer – GenAI, AWS, Python

Job not on LinkedIn

🕒 6 days ago

🏄 California – Remote

infoinfo

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on TMS, LLC's careers page, not through a job board

First seen by Remote Rocketship 6 days ago

Still open on TMS, LLC's site. Checked 37 minutes ago.

Logo of TMS, LLC

TMS, LLC

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 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

• 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

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

Apply Now

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