Data Engineer Document AI Engineer Remote need USC

INNOVATIVE TECH SOLUTIONS INC

14d • $60 - $65 • Remote

About The Position

Innovative Tech Solutions Inc is looking for a talented Data Engineer / Document AI Engineer to join our growing remote team. This is an exciting Corp-to-Corp (C2C) opportunity for a driven technologist ready to shape the future of intelligent document processing and data pipelines. If you're passionate about AI-driven data solutions and want to make a real impact, we want to hear from you! Innovative Tech Solutions Inc is a forward-thinking technology firm headquartered in Chicago, IL, dedicated to delivering cutting-edge data and AI solutions to clients across industries. Our team thrives on solving complex challenges with modern technology, and our clients trust us to drive real, measurable results. We foster a collaborative, fully remote culture where talented professionals are empowered to do their best work.

Requirements

• Must be a U.S. Citizen (USC) — required for this engagement
• Available for Corp-to-Corp (C2C) contracting arrangement
• Proven experience as a Data Engineer with strong proficiency in Python, SQL, and Spark
• Hands-on experience with Document AI tools such as Google Document AI, AWS Textract, or Azure Form Recognizer
• Experience with cloud platforms (GCP, AWS, or Azure) and data warehousing solutions
• Familiarity with NLP frameworks, OCR technologies, and unstructured data processing
• Strong understanding of data modeling, pipeline orchestration (Airflow, etc.), and CI/CD practices
• Excellent problem-solving skills and ability to work independently in a remote environment

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Develop and deploy Document AI solutions for intelligent document processing and extraction
• Implement and optimize machine learning models for document classification, OCR, and NLP tasks
• Collaborate with data scientists and business stakeholders to translate requirements into technical solutions
• Manage and integrate structured and unstructured data across cloud and on-premise environments
• Monitor data quality, pipeline performance, and system reliability
• Contribute to the architecture and continuous improvement of the data platform infrastructure

Benefits

• Dental insurance
• Donation matching
• Health insurance
• Help or transport service

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed