Provide assistance to Division Operations, Technical Services, and Operations Support groups to test, analyze and improve aggregate production plant efficiencies while producing a quality product along with field application of hardware and software related to automated plant controls and data collection.
Responsibilities
Identify processing bottlenecks and provide guidance for solution development across all processing segments
Perform segmented focus studies to justify potential solutions
Work with Process Controls Engineers to troubleshoot, adjust, and optimize software tools for safe and efficient plant production controls
Work with plant operators to customize and optimize use of PLC based control systems and PC graphic user interface
Perform Automation/Historian Site Evaluations to identify potential production deficiencies
A licensed Architect role focused on leading design and technical efforts across project phases, managing complex tasks, and mentoring junior staff within a collaborative environment.
Compensation
Salary Range: $76,000 - $84,000 depending qualifications and experience.
Responsibilities
Lead design and technical efforts across multiple project phases and scales
Manage complex tasks independently and coordinate with consultants
Support project delivery through high-quality documentation and thoughtful design solutions
Lead development of architectural drawings, details, and design concepts
Conduct advanced design analyses and planning studies
Requirements
Bachelor’s or master’s degree in architecture from an accredited institution
The Data Engineer will play a key role in the continued development and modernization of the organizations data environment, with a focus on creating a clean, reliable, and scalable data foundation for reporting, analytics, and future AI and automation initiatives.
Compensation
The pay range for this position is $60.00 - $67.00/hr.
Responsibilities
Design, develop, and enhance data processes used to collect, transform, organize, and deliver large volumes of business and project data across the organization.
Use SQL extensively to develop, optimize, and troubleshoot complex data transformations that support reporting and analytics.
Build, maintain, and improve VertiPaq semantic models to provide a robust foundation for business intelligence and self-service analytics.
Develop and refine DAX calculations to support business metrics, reporting requirements, and analytical use cases.
Collaborate with stakeholders to understand existing methodologies and workflows and translate them into efficient, scalable data solutions.