Sr. Reliability Engineer

Marmon Holdings•Carol Stream, IL

About The Position

Marmon Foodservice Technologies, Inc. As a part of the global industrial organization Marmon Holdings—which is backed by Berkshire Hathaway— you’ll be doing things that matter, leading at every level, and winning a better way. We’re committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone’s empowered to be their best. About The Job Though you may not know us by name, you’ve most likely enjoyed meals and refreshments supported by our industry-leading brand portfolio. For decades, we’ve designed and manufactured foodservice equipment for some of the world’s biggest, most recognized consumer brands. We are driven to innovate with a clear purpose in mind: to enhance the eating and drinking experience, nourishing the people and communities we serve. We are seeking a proactive and enthusiastic Sr. Reliability and Data Engineer to join our dynamic team. Reporting to the Reliability Engineering Manager, this position is responsible for analyzing warranty and other field data to help us better understand our existing product performance in the field, customer habits and behaviors, as well as how those products are serviced and maintained. In addition, this role will also utilize those data insights to perform Design for Reliability activities in support of New Product Development. This opportunity fills a critical role on our Reliability Engineering Team to better connect and correlate our new product development process to the field performance of existing product lines, allowing us to focus engineering resources where they will have the greatest impact, improve product reliability, and accurately predict and forecast that product reliability at launch.

Requirements

Bachelor's or Master’s degree in an Engineering or Physics discipline
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Excellent problem-solving skills, ability to adapt in a fast-paced and changing environment
Strong communication skills, with the ability to explain complex concepts to non-technical audiences
Independent Self-Starter: Takes prompt, proactive action to accomplish work goals with limited oversight
Collaborative Partner: Uses interpersonal skills to communicate effectively with cross-functional teams
Detail Oriented Team Member: Accuracy in work and code, with a passion for being free of errors
Problem Solver: Using creative and logical thinking to devise effective solutions

Nice To Haves

8+ years of relevant experience in a quality, test, new product development, or other engineering role
Field Data Analysis: Collect and analyze data from products in the field to identify reliability trends and report needed design changes.
Experience with new product development process and the types of defects driven by product design
Exposure to a manufacturing environment and the types of defects driven by MFG
Experience with statistical analysis tools such as Reliasoft Weibull++, Minitab
Exposure to or Experience Performing Hands-on Failure analysis work
Application of Python, Command line, Power BI, SQL to analyze and interpret complex datasets.
Experience designing tests to validate product or assembly function and/or reliability
Ability to continually enhance data collection procedures to include relevant data for analysis.
Excellent problem-solving and analytical skills; experience with root cause analysis methods such as Fishbone/Ishikawa, is-is not, and 5-why
Solid understanding of multiple manufacturing/fabrication methods and limitations
Effective interpersonal skills and the ability to convey technical information clearly
Ability to work both independently and collaboratively in a team environment
Experience interacting with customers

Responsibilities

Support New Product Development (NPD) through a Design for Reliability methodology
Develop new or update existing procedures for lab testing that accurately model or predict field performance of product
Analyze product or components that have failed in the lab or in the field to determine root cause and improve future product or test design
Extract data from SQL and implement effective strategies to optimize data quality and extraction processes
Clean data from multiple sources to use in analysis, ensuring the accuracy and integrity of the data for analysis
Data mine free text comment fields for trends and patterns
Build PowerBI dashboards to create clear visualizations and reports that effectively depict data insights
Engage with project teams to understand project needs/requirements and provide technical expertise using data and analytical tools
Develop predictive models and machine learning algorithms to uncover patterns/trends
Write thorough and concise tests and process procedures
Continually enhance data collection procedures to include relevant data for analysis
Work closely with IT teams to maintain system performance and ensure maximum uptime
Proactively identify opportunities to improve data systems and processes