Advanced Specialist, Data Engineering

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🔥 0 minutes ago

❄️ Minnesota – Remote

❄️ Minnesota – Remote

💵 $135k - $165k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Pearson VUE

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1994

📚 Education

🛍️ eCommerce

☁️ SaaS

Education • eCommerce • SaaS

Pearson VUE is a global leader in computer-based testing, providing a wide range of credentialing and certification exams for various industries. They support test-takers and test owners by offering resources, scheduling options, and accommodations to ensure equitable access to testing. Their mission is to empower candidates and enrich communities through the delivery of high-stakes exams that validate professional skills and knowledge, contributing to career advancement and industry standards.

📋 Description

• Lead the design and evolution of the data ecosystem supporting advanced data forensics, fraud detection, investigative analytics, and threat intelligence • Establish the architecture, governance, and technical foundations necessary to deliver scalable analytics, machine learning, and investigative intelligence capabilities • Design and maintain enterprise-scale data architectures supporting forensic analytics and security operations • Develop target-state architectures that support both operational reporting and advanced analytical workloads • Architect and optimize cloud-based analytics platforms utilizing Azure and Databricks technologies • Implement enterprise data governance standards and controls • Build and maintain architectures that support machine learning, artificial intelligence, and advanced analytics workloads.

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related discipline • 5+ years of experience in Data Architecture, Data Engineering, Analytics Architecture, or related fields • Strong experience with: • - Azure Data Platform technologies • - Databricks • - SQL • - Enterprise Data Modeling • - Data Lake and Data Warehouse architectures • - ETL/ELT design patterns • Experience designing and implementing enterprise-scale data solutions • Strong understanding of governance, data quality, and information management principles.

🏖️ Benefits

• Eligible to participate in an annual incentive program