Data Engineer (Remote)

For further inquiries regarding the following opportunity, please contact one of our Talent Specialists.
Ragu Mohan at (630) 847-0953
Nithiya at (224) 507-1292

Title: Data Engineer (Remote)

Duration: 3 Months

Location: Abbott Park, IL

Description:

Our client is seeking a motivated Data Engineer to join the team on a short-term contract. This role is fully remote role, and the ideal candidate should be highly skilled in data engineering concepts, ETL, Designing, Scripting & Automation & cloud platforms.

This is a non-exempt Data Engineer position (3-Months Contract)

Project: Supplier Contract Ingestion & Data Pipeline for Negotiation AI

About the Project
Our client is launching a focused 3-month initiative to:

• Bulk-ingest over 50,000 supplier contracts into SAP Ariba, with metadata extraction powered by OCR.
• Design and implement the database architecture and data flows that will feed our Negotiation AI-including contract detail extraction and supplier spend analytics.
• This work currently runs separately from the Negotiation AI MVP, but must be future-ready for seamless integration.

Role Overview
As Data Engineer, you will own the end-to-end data pipelines. This includes designing scalable databases, developing ingestion workflows, collaborating with our internal Machine Learning Engineering team, and structuring supplier spend data. You'll work closely with the Full Stack Developer to co-design the database schema for the Negotiation AI and ensure future compatibility with the ingestion pipeline.

Key Deliverables

• Ingestion Pipeline: Build and deploy a robust ETL/ELT pipeline using Azure to ingest 50,000+ contracts.
• Metadata Extraction: Configure and run OCR workflows (e.g., OlmOCR/Azure Document Intelligence) to extract key contract fields such as dates, parties, terms etc.
• Scalable Database Schema: Design and implement a schema in Azure PostgreSQL to store contract metadata, OCR outputs, and supplier spend data. Collaborate with the Software Developer to design a future-ready schema for AI consumption.

Required Skills & Experience

• 3-5 years of experience in Data Engineering with hands-on experience in building and managing data solutions.
• Experience in designing and ETL/ELT processes to support data integration and transformation.
• Proficiency in Azure, SQL, and PostgreSQL for cloud-based and relational database management.
• Solid experience with Python scripting and automation to streamline workflows and optimize data operations.

Data Engineering & ETL/ELT

• Experience with Azure PostgreSQL or similar relational databases
• Skilled in building scalable ETL/ELT pipelines (preferably using Azure)
• Proficient in Python for scripting and automation

OCR Collaboration

• Ability to work with internal Machine Learning Engineering teams to validate and structure extracted data
• Familiarity with OCR tools (e.g., Azure Document Intelligence, Tesseract) is a plus

SAP Ariba Integration

• Exposure to cXML, ARBCI, SOAP/REST protocols is a plus
• Comfortable with API authentication (OAuth, tokens) and enterprise-grade security

Agile Collaboration & Documentation

• Comfortable working in sprints and cross-functional teams
• Able to use Github Copilot to document practices for handover

Preferred Qualifications

• Experience with large-scale contract ingestion projects
• Familiarity with procurement systems and contract lifecycle management
• Background in integrating data pipelines with AI or analytics platforms

Requirements

• Bachelor's degree in any discipline, OR 3 5 years of relevant experience in Data Engineering.
• Strong problem-solving skills with the ability to troubleshoot and optimize data workflows.
• A reliable team player with excellent collaboration and communication abilities.

Why to join our client?

• Focused Scope with Future Impact: Lay the foundation for an AI-driven negotiation platform
• Cutting-Edge Tools: Work with SAP Ariba, OCR, Azure, and advanced analytics
• Collaborative Environment: Partner with Software Developers and AI specialists

Interview Process: 1 virtual round

About us:

DivIHN , the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.