Engineer II, Quality Data

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 - $131,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering, quality analysis, and AI-enabled solutions, with a strong focus on developing and optimizing data pipelines, integrations, and reporting systems. Proficient in utilizing advanced data analysis tools and methodologies to drive process improvements and support quality initiatives.

Highest-signal resume keywords

Data AnalysisAI-Enabled Solutions DevelopmentSAP S4HANAMicrosoft Power PlatformPython

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringData PipelinesSQLPythonCSASJAVAExcel VBAStatistical Process ControlRoot Cause and Corrective Action

Soft Skills

Strong Verbal CommunicationProblem-SolvingTeam PlayerSelf-MotivatedOrganizational Skills

Tools & Technologies

Microsoft Power PlatformTableauMinitabAWS Data LakeSnowflakeInformaticaSharePoint Online

Industry Keywords

Quality EngineeringDigital TransformationProcess AutomationData ArchitectureCompliance

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 business requirements into scalable data engineering, reporting, automation, and AI solutions
Conduct research and analysis to identify opportunities for 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 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
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 design, architecture, and deployment of AI-enabled solutions using prompt engineering, agentic AI, knowledge grounding, AI governance, and responsible AI practices
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 point of contact with IT for continuous improvement data initiatives, data process enhancements, metrics reporting, and corporate data projects
Work with outside software providers to administer and maintain systems and implement new solutions
Analyze quality data to identify process and product improvement opportunities and validate effectiveness of changes

Requirements

What you’ll need

Bachelor’s degree in Engineering, Computer Science, Information Technology or another closely related field
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), advanced Microsoft Excel, Tableau, and Minitab
Experience with AWS Data Lake, Snowflake, Informatica, Reliance EtQ, and 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, communicate analysis findings, and propose solutions
Very strong data analysis skills
Ability to detect changes and trends and determine their importance
Ability to evaluate identifiable factors in problems of diverse scope
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