Hiring: Data Engineer Company: Lenovo Location: Morrisville, NC Job Posted Time: 2026-09-12 07:41:00 Target Skills & Keywords : Azure, Data Pipeline, Data Warehouse, Machine Learning, Python, SQL, ServiceNow, Spark About the job Experience: •5+ years in data engineering, analytics engineering, software engineering, or a closely related technical role. Required Skills: •Lenovo Solutions Services Group is running a company-wide AI transformation program, embedding technical talent directly inside business functions. Data Engineers are the foundation builders in that model, making sure the right data is available, reliable, governed, and ready for AI solutions that solve real business problems. •The right candidate is energized by messy, real-world enterprise data and knows how to make it usable. You are comfortable moving from discovery to working data pipeline to production-ready data asset within sprint cycles, while balancing speed, data quality, security, and long-term maintainability. •Embed with business functions to understand workflows, source systems, pain points, and data gaps. •Translate business needs into clear data requirements, source mappings, quality rules, and delivery plans. •Build and Operate Data Foundations •Design, build, and maintain scalable data pipelines that move data from enterprise systems into usable, trusted data products. •Create curated datasets, semantic layers, and reusable data assets that support AI agents, automation, analytics, and reporting. •Interface directly with structured and unstructured content, including documents, knowledge bases, operational records, and workflow data. Qualifications: •Operational familiarity with ServiceNow, enterprise workflow systems, customer support data, services data, or operational data environments. •Background in technical consulting, data architecture, analytics enablement, or business-facing engineering. •AI squads have reliable data foundations in place at the end of each sprint, not just one-off extracts or manual workarounds. •Data products are trusted, documented, secure, and reusable across squads and functions. •AI agents, automation, and analytics perform better because they are grounded in clean, relevant, and accessible data. •Business teams can see measurable impact through faster decisions, reduced manual work, and improved process visibility. •Platform and data teams can operate and evolve the pipelines after the engagement ends. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!