Sr. Database Engineer

Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Abbott is a global healthcare leader that helps people live more fully at all stages of life. As a Senior Database Engineer, you will be responsible for designing and implementing database architectures and data flows for a Negotiation AI platform, while collaborating with various teams to ensure scalable and efficient data ingestion processes. Responsibilities: • 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. • As our 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 will 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. • Build and deploy a robust ETL/ELT pipeline using Azure to ingest 50,000+ contracts. • Configure and run OCR workflows (e.g., OlmOCR/Azure Document Intelligence) to extract key contract fields such as dates, parties, terms etc. • 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. Qualifications: Required: • Data Engineering & ETL/ELT experience • 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 • Ability to work with internal Machine Learning Engineering teams to validate and structure extracted data • Comfortable with API authentication (OAuth, tokens) and enterprise-grade security • Comfortable working in sprints and cross-functional teams • Able to use Github Copilot to document practices for handover • 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 Preferred: • Familiarity with OCR tools (e.g., Azure Document Intelligence, Tesseract) • Exposure to cXML, ARBCI, SOAP/REST protocols • 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 Company: Abbott is a healthcare company that is engaged in pharmaceuticals and manufacturing healthcare products. Founded in 1888, the company is headquartered in Illinois City, Illinois, USA, with a team of 10001+ employees. The company is currently Public Company. Abbott has a track record of offering H1B sponsorships.