Senior Engineer, Quality Data

Shure Incorporated

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

Posted 9/20/2026full-timeNiles • Illinois • United StatesSenior💰 $100,700 - $161,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in data engineering, AI-enabled application development, and quality data management, with a strong focus on implementing scalable solutions and driving continuous improvement. Proficient in leading technical initiatives and mentoring teams to adopt best practices in data analysis and automation.

Highest-signal resume keywords

Data EngineeringAI-Enabled Application DevelopmentPython ProgrammingSQL ProficiencyMicrosoft Power Platform

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 AnalysisData Pipeline DevelopmentAutomation SolutionsDatabase ManagementCloud Technologies

Soft Skills

Strong Communication SkillsTechnical LeadershipProblem-Solving AbilityJudgment in Method Selection

Tools & Technologies

Microsoft ExcelTableauSAP S4HANAAWS Data LakeSnowflake

Industry Keywords

Quality EngineeringDigital TransformationData GovernanceContinuous ImprovementRCCA

Tech Stack

Tools & technologies

AWSCloudInformaticaPythonSQLTableauVBA

About the role

Key responsibilities & impact

Engage with Associates from the Global Quality Division to understand quality engineering processes and related data systems
Identify quality data needs, assess potential solutions, and drive execution and implementation
Translate complex business requirements into scalable data engineering, reporting, automation, and AI solutions
Conduct research and analysis to identify continuous improvement opportunities through automation, workflow modernization, data architecture, system integration, and digital transformation
Lead the design, development, implementation, and optimization of data pipelines, integrations, databases, dashboards, analytics platforms, and cloud technologies
Resolve 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 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 data initiatives, process enhancements, metrics reporting, and corporate data projects
Administer and maintain systems with outside software providers and lead implementation of new solutions
Analyze quality data to identify process and product opportunities 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 5 years of experience using data analysis, data engineering and quality tools or equivalent advanced degree
Technical proficiency with Python, SQL, and Excel VBA is strongly preferred
Advanced experience designing and deploying AI-enabled applications, copilots, agents, and intelligent automation solutions
Demonstrated technical leadership in establishing AI best practices, mentoring engineering teams, and driving enterprise-wide AI adoption
Experience using SAP S4HANA, Microsoft Power Platform (specifically PowerApps and Power Automate), Microsoft Excel (advanced), Tableau, and Minitab
Experience with AWS Data Lake, Snowflake, Informatica, Reliance EtQ, and SharePoint Online is a plus
Familiarity with RCCA, FMEA, SPC, and PPAP is desirable
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
Must be 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