Data Engineer: Build AI-Driven Data Pipelines

Lenovo; North Carolina; On-site; USD 110,000 - 140,000; Full time

Job summary

Lenovo’s Solutions Services Group seeks a seasoned Data Engineer to turn business workflows into practical data products. You will build, connect, and maintain pipelines, curated datasets, and retrieval-ready knowledge sources enabling AI agents, automation, analytics, and reporting.

The role emphasizes working with both structured and unstructured data, designing scalable pipelines, and ensuring data quality within enterprise standards of privacy and security.

Qualifications

• 5+ years in data engineering, analytics engineering, software engineering, or a closely related technical role.
• Hands-on experience building production data pipelines using SQL, Python, Spark, orchestration tools, or similar technologies.
• Strong understanding of data modeling, data quality, data integration, and enterprise data lifecycle practices.

Responsibilities

• 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.
• 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.
• Work with structured and unstructured content, including documents, knowledge bases, operational records, and workflow data.
• Prepare data for AI solutions, including chunking, enrichment, metadata tagging, indexing, and retrieval-based architectures.
• Partner with Forward Deployed Engineers to test data quality, retrieval performance, and end-user relevance in real workflows.
• Help connect data assets into Microsoft AI and productivity platforms, Azure services, internal platforms, and workflow tools where appropriate.
• Implement validation, monitoring, lineage, and documentation so data products can be trusted and maintained after deployment.
• Work within enterprise standards for privacy, security, access control, and responsible use of data.
• Support adoption by making data products understandable to business users and easy for technical teams to reuse.
• Bridge business stakeholders, platform teams, data teams, and AI builders by explaining tradeoffs in plain language.
• Provide concise updates on progress, risks, blockers, and data dependencies to technical and senior non-technical audiences.

Skills

Data engineering

SQL

Python

Spark

Orchestration tools

Data modeling

Data quality

Data integration

Azure

Microsoft Fabric

Azure OpenAI

Tools

Azure

Microsoft Fabric

Copilot Studio

Power Platform

Job description

Lenovo’s Solutions Services Group seeks a seasoned Data Engineer to turn business workflows into practical data products. You will build, connect, and maintain pipelines, curated datasets, and retrieval-ready knowledge sources enabling AI agents, automation, analytics, and reporting.

The role emphasizes working with both structured and unstructured data, designing scalable pipelines, and ensuring data quality within enterprise standards of privacy and security.