Quality Data Engineer

Shure Incorporated

. Engage with Associates from the Global Quality Division to understand quality engineering processes and related data systems .

Posted 9/18/2026full-timeNiles • Illinois • United StatesMid-LevelSenior💰 $82,300 - $161,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, quality analysis, and AI-enabled solutions, with a strong focus on implementing scalable data systems and continuous improvement initiatives. Proficient in utilizing advanced data analysis tools and methodologies to drive effective decision-making and enhance operational efficiency.

Highest-signal resume keywords

Data AnalysisAI-Enabled Solutions DevelopmentSAP S4HANAMicrosoft Power PlatformPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData PipelinesSQLCSASJAVAExcel VBAStatistical Process ControlRoot Cause and Corrective ActionFailure Mode and Effects Analysis

Soft Skills

Strong Verbal CommunicationProblem-SolvingTeam PlayerSelf-MotivatedOrganizational Skills

Tools & Technologies

Microsoft ExcelTableauMinitabAWS Data LakeSnowflakeInformaticaReliance EtQSharePoint Online

Industry Keywords

Quality EngineeringDigital TransformationData ArchitectureProcess AutomationCompliance

Tech Stack

Tools & technologies

AWSCloudInformaticaJavaPythonSQLTableauVBA

About the role

Key responsibilities & impact

Engage with Associates from the Global Quality Division to understand quality engineering processes and related data systems
Identify and respond to quality data needs, assess potential solutions, and drive execution and implementation
Collect, analyze, prioritize, and translate complex business requirements into scalable data engineering, reporting, automation, and AI solutions
Conduct research and analysis to identify continuous improvement opportunities through process automation, workflow modernization, data architecture enhancements, system integration improvements, and digital transformation
Design, develop, implement, and optimize enterprise data solutions, including data pipelines, integrations, databases, dashboards, analytics platforms, and cloud-based technologies
Support resolution of quality data engineering service requests and ensure timely disposition
Develop, maintain, and govern best practices for data collection, storage, management, security, accessibility, reporting, compliance, and lifecycle management
Continuously improve Quality’s foundational systems, procedures, standards, governance frameworks, and digital capabilities
Provide training, guidance, technical support, and administrative services for global quality systems and databases
Lead the design, architecture, and deployment of AI-enabled solutions
Develop intelligent agents, copilots, and AI-integrated business applications using Microsoft Copilot Studio, AI Builder, and Power Platform
Establish AI standards, mentor teams, and drive adoption of AI solutions
Serve as Quality Division’s point of contact with IT for continuous improvement data initiatives, process enhancements, metrics reporting, and corporate data projects
Administer and maintain systems with outside software providers and identify and implement new solutions
Lead software and system improvement projects
Analyze quality data to identify opportunities in processes and products and validate improvement effectiveness

Requirements

What you’ll need

Bachelor’s degree in Engineering, Computer Science, Information Technology or other closely related bachelor’s degree
Minimum of 3 years of experience using data analysis and quality tools or equivalent advanced degree
Proven experience using SAP S4HANA, Microsoft Power Platform (specifically PowerApps and Power Automate), Microsoft Excel (advanced), Tableau, and Minitab to store, process, analyze, and report data
Experience with AWS Data Lake, Snowflake, Informatica, Reliance EtQ, or SharePoint Online is a plus
Technical proficiency with Python, SQL, C, SAS, JAVA, and Excel VBA is strongly preferred
Familiarity with Root Cause and Corrective Action (RCCA), Failure Mode and Effects Analysis (FMEA), Statistical Process Control (SPC), and Production Part Approval Process (PPAP) is desirable
Ability to think logically and constructively about problems, clearly communicate findings of analysis, and propose solutions
Very strong data analysis skills; ability to detect changes and trends and determine their importance
Ability to work on problems of diverse scope requiring evaluation of identifiable factors
Good judgment in selecting methods and techniques for difficult and diverse assignments
Strong verbal and written communication skills
Ability to communicate effectively with internal customers to resolve technical issues and offer effective solutions
Team player, self-motivated, self-learner, and good organizing skills
Currently authorized to work in the United States on a full-time basis
Shure will not sponsor applicants for work visas

Benefits

Comp & perks

Comprehensive healthcare
Mental health plans
Retirement savings plans
Generous paid time off programs
Employee discounts
Professional development opportunities
Work-life balance initiatives
Employee recognition programs
Volunteering/community involvement opportunities
Flexible work arrangements
Associate-first culture
Award-winning benefits package