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Shure

Audio products and microphone systems

Senior Engineer - Quality Data

Data Management +1Confirmed live in the last 24 hours
Full-timeNiles, IL, USA$100.7k - $161.2k

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, Information Technology, or another closely related bachelor's degree is required.
  • A minimum of 5 years of experience using data analysis, data engineering, and quality tools, or an equivalent advanced degree, is required.
  • Proficiency with Python, SQL, and Excel VBA is strongly preferred.
  • Advanced experience designing and deploying AI-enabled applications, copilots, agents, and intelligent automation solutions is required.
  • Demonstrated technical leadership in establishing AI best practices, mentoring engineering teams, and driving enterprise-wide AI adoption to deliver scalable, secure, and business-focused solutions is required.
  • Proven experience using SAP S4HANA, Microsoft Power Platform (specifically PowerApps and Power Automate), advanced Microsoft Excel, Tableau, and Minitab to store, process, analyze, and report data is required.
  • The ability to think logically and constructively about problems, clearly communicate analytical findings, and propose solutions addressing expressed needs within a project or related system is required.
  • Strong data analysis skills and the ability to detect changes and trends and determine their importance are required.
  • The ability to work on problems of diverse scope where analysis of data or situations requires evaluation of identifiable factors is required.
  • Good judgment in selecting methods and techniques to obtain solutions for difficult and diverse assignments is required.
  • Strong verbal and written communication skills are required.
  • The ability to communicate effectively with internal customers to resolve technical issues and offer effective solutions is required.
  • Applicants must be currently authorized to work in the United States on a full-time basis; the employer will not sponsor work visas.

Responsibilities

  • Engage proactively 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 their execution and implementation.
  • Partner with business teams, project leaders, and application users to collect, analyze, prioritize, and translate complex business requirements into scalable data engineering, reporting, automation, and AI solutions.
  • Conduct advanced research and analysis to identify opportunities for continuous improvement through process automation, workflow modernization, data architecture enhancements, system integration improvements, and digital transformation initiatives.
  • Lead the design, development, implementation, and optimization of enterprise data solutions, including data pipelines, integrations, databases, dashboards, analytics platforms, and cloud-based technologies supporting Quality operations and business objectives.
  • Support resolution of quality data engineering service requests submitted by quality associates and ensure effective and timely disposition of those requests.
  • Develop, maintain, and govern best practices for data collection, storage, management, security, accessibility, reporting, compliance, and lifecycle management across Quality systems and data platforms.
  • Design continuous improvement of Quality's foundational systems, procedures, standards, governance frameworks, and digital capabilities to ensure long-term scalability, maintainability, and business value.
  • Provide training, guidance, technical support, and administrative services for global quality systems and databases.
  • Provide technical leadership in the design, architecture, and deployment of AI-enabled solutions across the organization.
  • Lead development of intelligent agents, copilots, and AI-integrated business applications using Microsoft Copilot Studio, AI Builder, and the Power Platform; establish standards, mentor teams, and drive adoption of AI solutions that deliver measurable business value and productivity improvements.
  • Serve as the Quality Division's point of contact with IT, providing requirements related to divisional continuous-improvement data initiatives, data-process enhancements, metrics reporting, and corporate data projects; ensure systems align with current business objectives.
  • Work with outside software providers to administer and maintain current systems and identify and implement new solutions as needed to sustain or improve internal processes; lead these projects.
  • Analyze quality data to identify opportunities in processes and products, work with quality engineers to drive improvements, and validate the effectiveness of changes through data.

Desired Qualifications

  • Experience with AWS Data Lake, Snowflake, Informatica, Reliance EtQ, or SharePoint Online is a plus.
  • Familiarity with basic quality issue-resolution structures such as Root Cause and Corrective Action (RCCA), Failure Mode and Effects Analysis (FMEA), Statistical Process Control (SPC), and Production Part Approval Process (PPAP) is desirable.

About the Company

Shure

Audio products and microphone systems

Shure designs, manufactures, and supports professional audio equipment for global use. Its product lineup includes wired and wireless microphones, networked audio systems, signal processors, conferencing and discussion systems, and earphones and headphones. The company applies expertise in acoustics, wireless technology, and digital signal processing to create devices that capture and reproduce sound with clarity and reliability, and to enable seamless audio workflows across live sound, studios, and corporate environments. What sets Shure apart is its century-long track record of delivering durable, high-quality audio gear, a broad ecosystem of complementary products, and strong support for professional users. The company aims to provide transparent, natural-sounding audio experiences across diverse settings, from performances and broadcasts to conferences and everyday listening.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Niles, IL
Founded
1925

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