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Dimensional Management Engineer Jobs in Naperville, IL

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

Support development and maintenance of dimensional data models (star schemas) in our lakehouses ... Git, YAML CI/CD pipelines, artifact/package management, and disciplined code review practices

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Support development and maintenance of dimensional data models (star schemas) in our lakehouses ... Git, YAML CI/CD pipelines, artifact/package management, and disciplined code review practices

Quality Inspector

Maywood, IL ยท On-site

$18 - $22/hr

You will be working closely with management, engineering, and production. Responsibilities ... Making sure products are meeting dimensional and specification needs * Checking products during ...

Quality Inspector

Maywood, IL ยท On-site

$18 - $22/hr

You will be working closely with management, engineering, and production. Responsibilities ... Making sure products are meeting dimensional and specification needs * Checking products during ...

Quality Inspector

Maywood, IL ยท On-site

$18 - $22/hr

You will be working closely with management, engineering, and production. Responsibilities ... Making sure products are meeting dimensional and specification needs * Checking products during ...

Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

... identity management, and secure data sharing mechanisms Support API-based integrations and ... relational and dimensional) Experience building and supporting data pipelines in a cloud ...

Databricks Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

... identity management, and secure data sharing mechanisms Support API-based integrations and ... relational and dimensional) Experience building and supporting data pipelines in a cloud ...

Quality Engineer

Schaumburg, IL ยท On-site

$71K - $91K/yr

Essential Functions: * Perform dimensional and visual inspections on metal components using ... Strong computer skills, including Microsoft Office and quality management systems. * Excellent ...

Quality Engineer

Schaumburg, IL ยท On-site

$75 - $105/hr

Essential Functions * Perform dimensional and visual inspections on metal components using ... Strong computer skills, including Microsoft Office and quality management systems. * Excellent ...

Showing results 21-40

Dimensional Management Engineer information

See Naperville, IL salary details

$62.4K

$93.2K

$164.8K

How much do dimensional management engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for dimensional management engineer in Naperville, IL is $93,225.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $109,800.00 per year, depending on experience, location, and employer.

What does a dimensional management engineer do?

A Dimensional Management Engineer is responsible for ensuring that manufactured parts and assemblies meet precise dimensional specifications throughout the design and production process. They use specialized tools and software to analyze, control, and improve the dimensional accuracy of products, reducing variation and ensuring quality. Their work involves collaborating with design, manufacturing, and quality teams to identify potential issues, develop measurement strategies, and implement solutions to optimize product performance and manufacturability.

How does a dimensional management engineer typically collaborate with design and manufacturing teams during product development?

A Dimensional Management Engineer plays a crucial role in bridging the gap between design and manufacturing teams. They work closely with design engineers to ensure that part tolerances and assembly requirements are clearly defined and achievable. Throughout the product development process, they also coordinate with manufacturing to address potential issues related to fit, form, and function, often using statistical analysis and simulation tools. This collaborative approach helps minimize production problems, reduce costs, and improve product quality.

What are the key skills and qualifications needed to thrive as a dimensional management engineer, and why are they important?

To thrive as a Dimensional Management Engineer, you need a strong background in mechanical engineering principles, GD&T (Geometric Dimensioning and Tolerancing), and statistical analysis, often supported by a relevant engineering degree. Expertise with CAD software, metrology tools, and dimensional analysis systems like Minitab or PolyWorks is typically required. Attention to detail, problem-solving abilities, and strong communication skills help you effectively collaborate with cross-functional teams and ensure design intent is met. These skills are essential for optimizing product quality, minimizing manufacturing defects, and supporting efficient production processes.

What is the difference between Dimensional Management Engineer vs Mechanical Design Engineer?

AspectDimensional Management EngineerMechanical Design Engineer
Required CredentialsBachelor's in Mechanical or Industrial Engineering, certifications in CAD or GD&TBachelor's or higher in Mechanical Engineering, CAD certifications often preferred
Work EnvironmentManufacturing, aerospace, automotive industries focusing on tolerances and fitProduct development, R&D, and manufacturing focusing on component design
Employer & Industry UsageUsed by companies emphasizing precision and assembly fitCommon in companies designing new mechanical products
Search & Comparison IntentOften compared for roles involving tolerances and assembly fitCompared for roles focused on product design and innovation

The main difference is that a Dimensional Management Engineer specializes in managing tolerances, fit, and assembly precision, while a Mechanical Design Engineer focuses on creating and developing mechanical components and systems. Both roles require engineering backgrounds and CAD skills, but their focus areas and industry applications differ.

What are popular job titles related to Dimensional Management Engineer jobs in Naperville, IL?

For Dimensional Management Engineer jobs in Naperville, IL, the most frequently searched job titles are:

Infographic showing various Dimensional Management Engineer job openings in Naperville, IL as of June 2026, with employment types broken down into 96% Full Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $93,225 per year, or $44.8 per hour.

Senior Data Engineer

fairlife

Chicago, IL โ€ข On-site

$109K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

fairlife, LLC is a Chicago-based nutrition company that creates great-tasting, nutrition-rich and dairy products to nourish consumers.
With over $3B in annual retail sales, fairlife's portfolio of delicious, lactose-free, real dairy products includes: fairlifeยฎ ultra-filtered milk; Core Powerยฎ High Protein Shakes, a sports nutrition drink to support post-workout recovery; fairlifeยฎ nutrition planโ„ข, a nutrition shake to support the journey to better health.
A wholly owned subsidiary of The Coca-Cola company, fairlife, LLC has been recognized by both Fast Company and Nielsen for its industry leading innovation.
To learn more about fairlife and its complete line of products, please visit fairlife.com.
job purpose:
The Sr. Data Engineer will play a key role in delivering fairlife's ambition of building a best-in-class Decision Intelligence (DI) ecosystem. This role designs, builds, and operates the pipelines, data models, and reusable frameworks that turn data from across our enterprise and factories into trusted, analytics-ready products in our lakehouse. We are looking for an engineer with natural intellectual curiosity who takes genuine pride in the quality of their designs, treats solution architecture as a core craft of data engineering, and is energized by the new use cases the age of AI presents, helping make our data platform reliable for people and legible to AI systems alike.
responsibilities:
  • Design, implement, and operationalize batch and streaming data pipelines that integrate enterprise and factory data sources (ERP, IIoT, SaaS applications, APIs) into our lakehouses
  • Support development and maintenance of dimensional data models (star schemas) in our lakehouses that deliver consistent, well-governed metrics to the business
  • Build reusable frameworks and shared Python libraries (ingestion patterns, incremental loads, telemetry, alerting) that accelerate the whole team, not just one project
  • Own the engineering lifecycle end to end: Git branching, pull requests, CI/CD pipelines in Azure DevOps, automated testing, and environment promotion
  • Monitor, troubleshoot, and optimize solutions for reliability, performance, and cost, building data quality validation and pipeline observability into solutions from the start
  • Embed security and governance into every solution: identity-based authentication, secret management, access control, and responsible handling of sensitive data
  • Contribute to our growing AI-facing platform capabilities, including semantic search indexes, AI-ready data interfaces, and agent tooling
  • Partner with stakeholders across manufacturing and business functions, translating their needs into well-designed solutions and communicating to non-technical audiences
  • Document, share, and support the technical growth of fellow team members

skills/qualifications required:
  • Bachelor's degree in computer science, engineering, or related field AND 5+ years of data engineering experience (manufacturing/CPG preferred)
  • Expert-level SQL and strong Python (building shared libraries and frameworks, not just scripts); hands-on Spark/PySpark for large-scale transformation
  • Strong grounding in data warehousing and dimensional modeling (star schemas, Kimball)
  • Proficiency with Azure data services such as SQL databases, Event Hubs, Functions, Data Factory, Key Vault, and Microsoft Entra
  • Experience with Azure DevOps or similar: Git, YAML CI/CD pipelines, artifact/package management, and disciplined code review practices
  • Lakehouse experience (Delta Lake, medallion architecture) in Fabric or Databricks preferred
  • Working knowledge of KQL (Azure Data Explorer, Eventhouse, or Application Insights) a plus
  • Exposure to RAG/semantic search or MCP tool integrations a plus
  • Experience with manufacturing/factory data (MES, historians, IIoT streaming) a plus
  • Excellent communication skills, comfortable engaging non-technical stakeholders
  • Detail-oriented self-starter with a growth mindset and ability to handle ambiguity
  • A natural team player with a habit of helping, documenting, and sharing

how fairlife nourishes you:
At fairlife, we believe in better - and that includes how we support our people. We offer a comprehensive suite of benefits and wellbeing resources designed to support you physically, emotionally, socially, and financially, both in and out of work.
  • Comprehensive medical, dental, and vision coverage, effective day one!
  • Supplemental health plans (hospital indemnity, accident, and critical illness insurance)
  • Paid Time Off to recharge and support work-life balance
  • Paid parental leave & adoption assistance (up to $10,000)
  • Parental support & family care benefits, including childcare resources and lactation support
  • 401(k) to support retirement planning with up to 9% in employer match
  • Wellness reimbursement (up to $500 for qualified wellbeing expenses)
  • Employee Assistance Program (EAP) for emotional wellbeing and work-life support
  • Company-paid life insurance and short-term disability
  • Employer HSA funding (for HDHP participants)
  • Tuition reimbursement (up to $10,000) and student loan repayment ($200/month)
  • Learning & development programs to unlock your full potential
  • Rewards & recognition, matching gifts, free product, and Business Resource Groups

fairlife's nour!sh program is designed to meet you where you are - supporting your individual wellbeing journey while enabling you to do your best work every day.
This position requires current authorization to work in the United States. Visa sponsorship is not available for this position.
position location: Chicago, IL
reports to: Director, Data Engineering
travel requirements: <10%
exempt/nonexempt: Exempt
*Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Base pay range:
$110,000-$125,000 USD
fairlife, LLC is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All qualified applicants and employees will be given equal opportunity. Selection decisions are based on job-related factors.
In addition to its nondiscrimination commitment, the Company will also provide reasonable accommodation of qualified individuals with known disabilities unless doing so would impose an undue hardship on the Company. If you have a disability and would like to request accommodation in order to apply for a position with us, please email careers@fairlife.com.
For Recruitment AgenciesAt fairlife, we manage the majority of our hiring internally through our dedicated Talent Acquisition team, which is actively engaged in direct candidate sourcing. Most of our roles are filled through applications submitted via our careers site or through direct outreach by our team.
As our recruitment is primarily handled in-house, we work only occasionally with external agencies, and only those on our existing, pre-approved vendor list. At this time, we are not reviewing or expanding that list.
Unsolicited resumes or submissions from external agencies not authorized by our Talent Acquisition team will be considered direct candidate applications. As such, fairlife will not assume responsibility for any placement fees associated with these submissions.