We are seeking a detail-oriented AI-Powered Python Automation & Document Processing Engineer to help streamline data-intensive workflows through automation and intelligent document processing.
This role is ideal for candidates who enjoy working with Python, AI-assisted development tools, and transforming unstructured information into structured, actionable data.
You will collaborate with cross-functional teams to automate repetitive processes, improve data quality, and build scalable solutions that enhance operational efficiency.
This position offers an excellent opportunity to work at the intersection of automation, AI, and data engineering while learning modern workflow optimization practices.
Responsibilities:
Develop and maintain Python-based automation solutions for document, data, compliance, and operational workflows.
Extract, transform, validate, and convert information from unstructured sources (PDFs, documents, spreadsheets, and text files) into structured formats such as JSON, CSV, and XML.
Build and enhance automated pipelines for document ingestion, information extraction, evidence management, workflow automation, and reporting.
Leverage AI-assisted development tools and LLMs to accelerate scripting, data processing, document intelligence, and process optimization.
Support initiatives related to governance, risk, compliance (GRC), audit readiness, security frameworks, certification programs, and operational process improvement.
Collaborate with cross-functional stakeholders to troubleshoot automation processes, implement scalable solutions, and ensure the accuracy and quality of processed data.
Experience:
Strong Python scripting and automation experience, with the ability to develop scalable solutions for data and document-centric workflows.
Experience working with structured and semi-structured data (JSON, CSV, XML, YAML) including data parsing, transformation, validation, and quality assurance.
Hands-on experience leveraging AI-assisted development tools such as ChatGPT, Claude, GitHub Copilot, Gemini, or similar platforms to accelerate coding, troubleshooting, and workflow automation.
Ability to process and extract information from unstructured sources including PDFs, documents, spreadsheets, and other text-based content.
Strong analytical, problem-solving, and organizational skills, with the ability to work independently, manage competing priorities, and deliver high-quality results with attention to detail.
Skillsets:
Experience with OCR, document intelligence, or text extraction technologies.
Knowledge of data engineering, or workflow automation concepts.
Familiarity with APIs, scripting integrations, and automation platforms.
Compliance frameworks such as SOC 2, ISO 27001, HIPAA, NIST, FedRAMP, PCI-DSS, or similar standards.
Education:
Bachelor's or Master's degree in Computer Science, Information Technology, Cybersecurity, Data Science, or a related field.
About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com .
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.
#LI-AS140
Duration: 6 months contract
Job Description:
We are seeking a detail-oriented AI-Powered Python Automation & Document Processing Engineer to help streamline data-intensive workflows through automation and intelligent document processing.
This role is ideal for candidates who enjoy working with Python, AI-assisted development tools, and transforming unstructured information into structured, actionable data.
You will collaborate with cross-functional teams to automate repetitive processes, improve data quality, and build scalable solutions that enhance operational efficiency.
This position offers an excellent opportunity to work at the intersection of automation, AI, and data engineering while learning modern workflow optimization practices.
Responsibilities:
Develop and maintain Python-based automation solutions for document, data, compliance, and operational workflows.
Extract, transform, validate, and convert information from unstructured sources (PDFs, documents, spreadsheets, and text files) into structured formats such as JSON, CSV, and XML.
Build and enhance automated pipelines for document ingestion, information extraction, evidence management, workflow automation, and reporting.
Leverage AI-assisted development tools and LLMs to accelerate scripting, data processing, document intelligence, and process optimization.
Support initiatives related to governance, risk, compliance (GRC), audit readiness, security frameworks, certification programs, and operational process improvement.
Collaborate with cross-functional stakeholders to troubleshoot automation processes, implement scalable solutions, and ensure the accuracy and quality of processed data.
Experience:
Strong Python scripting and automation experience, with the ability to develop scalable solutions for data and document-centric workflows.
Experience working with structured and semi-structured data (JSON, CSV, XML, YAML) including data parsing, transformation, validation, and quality assurance.
Hands-on experience leveraging AI-assisted development tools such as ChatGPT, Claude, GitHub Copilot, Gemini, or similar platforms to accelerate coding, troubleshooting, and workflow automation.
Ability to process and extract information from unstructured sources including PDFs, documents, spreadsheets, and other text-based content.
Strong analytical, problem-solving, and organizational skills, with the ability to work independently, manage competing priorities, and deliver high-quality results with attention to detail.
Skillsets:
Experience with OCR, document intelligence, or text extraction technologies.
Knowledge of data engineering, or workflow automation concepts.
Familiarity with APIs, scripting integrations, and automation platforms.
Compliance frameworks such as SOC 2, ISO 27001, HIPAA, NIST, FedRAMP, PCI-DSS, or similar standards.
Education:
Bachelor's or Master's degree in Computer Science, Information Technology, Cybersecurity, Data Science, or a related field.
About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com .
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.
#LI-AS140
What You'll Do
We are seeking a detail-oriented AI-Powered Python Automation & Document Processing Engineer to help streamline data-intensive workflows through automation and intelligent document processing.
This role is ideal for candidates who enjoy working with Python, AI-assisted development tools, and transforming unstructured information into structured, actionable data.
You will collaborate with cross-functional teams to automate repetitive processes, improve data quality, and build scalable solutions that enhance operational efficiency.
This position offers an excellent opportunity to work at the intersection of automation, AI, and data engineering while learning modern workflow optimization practices.
Develop and maintain Python-based automation solutions for document, data, compliance, and operational workflows.
Extract, transform, validate, and convert information from unstructured sources (PDFs, documents, spreadsheets, and text files) into structured formats such as JSON, CSV, and XML.
