Senior Process Engineer: Lead High-Impact Packaging Systems

TRS Staffing Solutions; Leola (SD); On-site; USD 80,000 - 100,000; Full time

Job summary

TRS Staffing Solutions is seeking a Senior Process Engineer in Leola, South Dakota. This role involves managing and prioritizing engineering projects that influence product manufacturing processes. Key responsibilities include leading investigations into equipment failures, implementing solutions, and collaborating with various teams to improve efficiency. Candidates should have a relevant degree and extensive experience with production equipment, along with strong knowledge in statistical methodologies. Preferred qualifications include advanced degrees and experience with CAD tools.

Qualifications

• Six years of related engineering experience or twelve years with an Associate's degree.
• Experience in analyzing production equipment and solving issues.
• Strong verbal and written communication skills.

Responsibilities

• Manage and prioritize engineering projects related to product manufacturing.
• Lead investigations into process failures and implement solutions.
• Coordinate with cross-functional teams to resolve issues.

Skills

Statistical Process Control (SPC)

Statistical Quality Control (SQC)

5S

8D

Failure Mode and Effects Analysis (FMEA)

Root Cause Analysis

Gage Repeatability and Reproducibility (R&R)

Design of Experiments (DOE)

Thermoforming knowledge

Injection molding knowledge

Education

Bachelor’s degree in engineering or related field

Associate’s degree

Tools

CAD software

Simulation tools

Job description

TRS Staffing Solutions is seeking a Senior Process Engineer in Leola, South Dakota. This role involves managing and prioritizing engineering projects that influence product manufacturing processes. Key responsibilities include leading investigations into equipment failures, implementing solutions, and collaborating with various teams to improve efficiency. Candidates should have a relevant degree and extensive experience with production equipment, along with strong knowledge in statistical methodologies. Preferred qualifications include advanced degrees and experience with CAD tools.