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At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain.
We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways.
Are you curious about being part of our growth story while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.
Iron Mountain is seeking an innovative and analytical Data & AI Engineer to join our Enterprise Data & Analytics team. In this role, you will be responsible for supporting end-to-end data pipelines, operationalizing data governance standards, and developing multi-agent workflows and autonomous artificial intelligence solutions.
You will join a forward-thinking team of data professionals and engineers dedicated to driving digital transformation and building scalable, artificial intelligence-powered automation capabilities across the organization.
What You’ll Do
In this role, you will:
- Responsibility 1: Support the design, development, and maintenance of automated Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines, building curated datasets and operational dashboards to provide actionable business insights.
- Responsibility 2: Collaborate with senior team members, engineering groups, and cross-functional business stakeholders to document metadata, map data source structures, and integrate Large Language Models (LLMs) into enterprise workflows.
- Responsibility 3: Ensure compliance with organizational data quality, metadata, and lineage standards while assisting in the deployment of artificial intelligence agents that monitor and enforce governance policies.
What You’ll Bring
The ideal candidate will have:
- 1-3 years of experience in data analysis, data engineering, or artificial intelligence automation workflows.
- Strong knowledge of data profiling, automated data quality assessments, and foundational data modeling practices.
- Proven ability in writing and testing prompts, agent instructions, and orchestration logic using modern artificial intelligence services and Business Intelligence (BI) tools.
- Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related quantitative field.
