Senior Python Data Engineer (OCR & Document Processing)- remote

Inetum; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Inetum is seeking a senior data engineer to design Python-based data pipelines that ingest documents, run OCR workflows, and convert unstructured sources into structured information.

You will optimize parsing accuracy, handle PDFs and images, and mentor peers while operating in a fully remote, distributed team. This role emphasizes reliability, scalability, and collaboration across engineering and analytics.

Qualifications

• Proficient Python in production data engineering
• Experience with OCR libraries and document parsing techniques
• Strong ETL design, data modeling and pipeline reliability
• Experience handling PDFs, scans or images as input
• Comfort working remotely with distributed teams

Responsibilities

• Design and maintain Python data pipelines ingesting documents and OCR workflows
• Clean, validate and structure raw OCR output for downstream systems
• Improve parsing accuracy and throughput for varied document layouts
• Integrate processed data with analytical or operational systems
• Establish monitoring, error handling and quality controls for pipelines
• Mentor peers and contribute to engineering standards

Skills

Python

OCR

Document parsing

ETL design

Data modeling

Pipeline reliability

Unstructured data

Remote work

Job description

Role overview

A remote senior engineering role focused on building Python-based data systems that convert scanned and image-based documents into structured, usable information. The work combines data engineering with OCR and document processing pipelines, supporting operations that depend on accurate, large-scale extraction from unstructured inputs.

Responsibilities

• Design and maintain Python data pipelines that ingest documents and run them through OCR workflows
• Build logic to clean, validate, and structure raw OCR output into reliable downstream records
• Improve parsing accuracy and throughput across varied document layouts and image qualities
• Integrate processed document data with analytical or operational systems that consume it
• Establish monitoring, error handling, and quality controls for document processing flows
• Contribute to engineering standards and mentor peers on data processing practices

Requirements

• Several years of senior-level experience with Python in production data engineering work
• Hands-on familiarity with OCR libraries and document parsing techniques
• Solid understanding of ETL design, data modeling, and pipeline reliability
• Experience handling unstructured inputs such as PDFs, scanned files, or images
• Comfort operating independently in a remote setting with clear distributed-team communication