Data Platform Engineer

🔥 1 hour ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $93.4k - $124.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

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Iron Mountain

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1951

📦 Logistics

💼 Consulting

🏥 Healthcare

Logistics • Consulting • Healthcare

Iron Mountain is a global leader in information management services, offering a wide range of solutions such as digital transformation, data and IT security, asset lifecycle management, and records storage. With operations across more than 60 countries, the company serves various industries including financial services, healthcare, public sector, and energy. Iron Mountain's services aim to protect, unlock, and extend the value of customers' information, leveraging advanced technologies like its InSight Digital Experience Platform to unify physical and digital data. The company also provides warehousing and logistics solutions, with a strong focus on sustainability and security.

📋 Description

• Build and maintain scalable pipelines within the Data Foundry project to ingest, process, and index both structured transactional data and unstructured enterprise data. • Implement and optimize search-centric data pipelines to support enterprise search functionality. • Execute data transformations across the Ingestion, Refined, and Reporting layers of the BigQuery data lake. • Proactively identify bottlenecks in Astronomer/Airflow DAGs and BigQuery SQL transformations. • Collaborate on the development and maintenance of the API backbone strategy. • Apply strong data security principles by configuring and managing Row-Level Security (RLS) and Column-Level Security (CLS). • Partner closely with the AI Platform Engineering team to supply highly curated, clean datasets for machine learning models.

🎯 Requirements

• 3–5 years of professional software or data engineering experience in an enterprise cloud environment (GCP preferred). • Advanced SQL skills (analytical functions, query optimization) and proficiency in Python, PySpark, and/or Scala. • Demonstrable experience implementing data access controls, encryption-at-rest/in-transit, and managing secure API endpoints. • Proven ability to work cross-functionally with technical peers in AI, Infrastructure, Security, and Product teams.