Data Engineer II

Role Overview

The Data Engineer will play a key role in the continued development and modernization of the organization’s data environment, with a focus on creating a clean, reliable, and scalable data foundation for reporting, analytics, and future AI and automation initiatives.

What You Will Do

Design, develop, and enhance data processes used to collect, transform, organize, and deliver large volumes of business and project data across the organization.

Why It Might Be a Fit

The role requires strong understanding of database concepts and large-scale data architectures, ability to analyze and document existing methodologies and workflows, and proficiency in designing scalable, reliable, and maintainable data pipelines and data structures.

Requirements

• 3+ years of experience using SQL to develop and troubleshoot complex data transformations
• 3+ years of experience with VertiPaq semantic modeling, including building and maintaining data models for analytics
• 3+ years of experience using DAX to create and optimize business calculations and support reporting needs
• 3+ years of experience using Python, R, or Scala for data processing, transformation, or automation
• 3+ years of experience utilizing Spark or other distributed data processing engines to manage large-scale data workloads
• 3+ years of experience developing and modernizing a company’s data environment for reporting, analytics, and automation

Benefits

• Medical
• dental & vision
• Critical Illness
• Accident
• Hospital
• 401(k) Retirement Plan
• Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)