

AWS Data Engineer - (Amazon Bedrock + Amazon Q Business)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer (Amazon Bedrock + Amazon Q Business) on a 1-year remote contract, offering expertise in AWS AI services, Python, LLMs, and RAG implementation, with a focus on data quality and documentation workflows.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 21, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Data Quality #Python #Data Engineering #Documentation #AWS (Amazon Web Services) #Programming #AI (Artificial Intelligence) #Metadata
Role description
Job Title: AWS Data Engineer (Amazon Bedrock + Amazon Q Business)
Job Type: Remote
Job Duration: 1 Years Contract
Note:
We are looking for candidate with strong experience with Amazon Q Business and Amazon Bedrock
We are looking for strong expertise with Python and RAG Implementation
Looking for candidate with LLM (Large Language Model) hands experience.
Qualifications:
β’ Experience with AWS AI services, including Amazon Q Business and Amazon Bedrock
β’ Knowledge of effective prompt engineering and RAG implementation
β’ Understanding of content chunking, vectorization, and metadata strategies
β’ Proficiency in Python programming language
β’ Experience in data quality assessment and content standardization methodologies
β’ Experience working with large language models (LLMs)
β’ Advanced planning, organizational, problem-solving, analytical, decision-making and communication skills required
β’ Must be able to maintain a high degree of accuracy and confidentiality
Responsibilities:
β’ Design and implement documentation ingestion workflows using Amazon Q Business and related AWS AI services
β’ Develop and maintain data preprocessing pipelines with focus on data quality improvement
β’ Lead initiatives to standardize and enhance documentation quality
β’ Assess response quality through ground truth analysis to optimize for business use cases
β’ Establish and monitor content quality metrics
β’ Collaborate with content owners to improve documentation structure and metadata
Job Title: AWS Data Engineer (Amazon Bedrock + Amazon Q Business)
Job Type: Remote
Job Duration: 1 Years Contract
Note:
We are looking for candidate with strong experience with Amazon Q Business and Amazon Bedrock
We are looking for strong expertise with Python and RAG Implementation
Looking for candidate with LLM (Large Language Model) hands experience.
Qualifications:
β’ Experience with AWS AI services, including Amazon Q Business and Amazon Bedrock
β’ Knowledge of effective prompt engineering and RAG implementation
β’ Understanding of content chunking, vectorization, and metadata strategies
β’ Proficiency in Python programming language
β’ Experience in data quality assessment and content standardization methodologies
β’ Experience working with large language models (LLMs)
β’ Advanced planning, organizational, problem-solving, analytical, decision-making and communication skills required
β’ Must be able to maintain a high degree of accuracy and confidentiality
Responsibilities:
β’ Design and implement documentation ingestion workflows using Amazon Q Business and related AWS AI services
β’ Develop and maintain data preprocessing pipelines with focus on data quality improvement
β’ Lead initiatives to standardize and enhance documentation quality
β’ Assess response quality through ground truth analysis to optimize for business use cases
β’ Establish and monitor content quality metrics
β’ Collaborate with content owners to improve documentation structure and metadata