Senior Data Engineer - Remote AI & Data Pipelines

IBM; Northern (KY); Hybrid; USD 144,000 - 268,000; Full time

Job summary

IBM Consulting seeks an experienced Data Engineer to design and scale data pipelines and infrastructure for a high-priority Agentic AI engagement. You’ll own data quality, governance, and availability to enable AI and analytics use cases built with enterprise data.

You’ll build pipelines with Microsoft Fabric, Databricks, and Azure Synapse, implement MCP integration, and collaborate with AI engineers to deliver secure, scalable data platforms across the organization.

Qualifications

• 7+ years designing, developing, and deploying scalable AI applications leveraging LLMs, RAG architectures, and agentic AI workflows.
• Build and operationalize AI orchestration pipelines using frameworks such as LangChain and LangGraph.
• Develop AI agents capable of tool calling, contextual retrieval, memory/state management, multi-agent coordination, and autonomous workflow execution.
• Implement MCP (Model Context Protocol) integration patterns to enable secure, modular interoperability between AI agents, enterprise systems, tools, and data sources.
• Support the industrialization of AI capabilities through reusable architecture patterns, standardized deployment frameworks, monitoring, testing, evaluation pipelines, and operational support models.
• Develop and integrate enterprise-grade APIs, vector databases, workflow platforms, and operational systems into AI-enabled business processes.
• Implement AI governance, security, logging, guardrails, and human-in-the-loop controls to support responsible and scalable AI adoption.
• Contribute to CI/CD, LLMOps/MLOps, and cloud-native deployment practices supporting enterprise-scale AI delivery.

Responsibilities

• Design, build, and maintain robust data pipelines that ingest, transform, and deliver high-quality data across the platform.
• Develop scalable architectures using Microsoft Fabric, Databricks, and/or Azure Synapse Analytics.
• Ensure pipelines are performant, reliable, and built to handle the scale and variability of enterprise data.
• Implement data transformation and orchestration workflows that feed AI models and analytics dashboards.
• Architect and maintain the underlying data infrastructure that supports AI and analytics use cases.
• Define and implement data lakehouse patterns, medallion architecture, and layered data models.
• Collaborate with AI engineers and architects to ensure data outputs are structured and accessible for model consumption.
• Manage and optimize data storage, compute, and processing environments for cost and performance.
• Implement data quality checks, validation frameworks, and monitoring to ensure trustworthy data outputs.
• Establish and enforce data governance standards including lineage tracking, cataloging, and access controls.
• Partner with stakeholders to document data assets and ensure discoverability across the platform.

Skills

Data pipelines

Azure Databricks

Azure Synapse

Microsoft Fabric

LangChain

LangGraph

LLMs

MLOps

CI/CD

Vector databases

AI orchestration

DevOps

APIs

Education

Bachelor's Degree

Master's Degree

Tools

Microsoft Fabric

Databricks

Azure Synapse Analytics

Job description

IBM Consulting seeks an experienced Data Engineer to design and scale data pipelines and infrastructure for a high-priority Agentic AI engagement. You’ll own data quality, governance, and availability to enable AI and analytics use cases built with enterprise data.

You’ll build pipelines with Microsoft Fabric, Databricks, and Azure Synapse, implement MCP integration, and collaborate with AI engineers to deliver secure, scalable data platforms across the organization.