1

Dimensional Engineer Jobs in Kansas (NOW HIRING)

... dimensional measurement instrumentation. * Technical Verification: Directly evaluate physical products and component outputs against official engineering prints, manufacturing blueprints, and ...

... dimensional measurement instrumentation. * Technical Verification: Directly evaluate physical products and component outputs against official engineering prints, manufacturing blueprints, and ...

Showing results 41-60

Dimensional Engineer information

See Kansas salary details

$55.7K

$83.3K

$147.2K

How much do dimensional engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for dimensional engineer in Kansas is $83,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,800.00 and $98,100.00 per year, depending on experience, location, and employer.

What is a dimensional engineer?

A dimensional engineer works in manufacturing fields, particularly the automotive industry, and helps to design new or updated production processes through the analysis of data. As a dimensional engineer, your primary responsibilities include designing components for the assembly process to increase productivity and safety. Your daily duties may involve analyzing data, identifying problems in the manufacturing process, and documenting case studies. You may also perform statistical reporting and use simulation tools for planning.

What is a dimensional engineer?

A Dimensional Engineer is a professional who specializes in ensuring the accuracy and consistency of physical dimensions in manufactured products. They use advanced measurement techniques and tools to analyze parts, assemblies, and systems, ensuring they meet precise specifications and tolerances. Dimensional Engineers play a crucial role in quality control, working closely with design, manufacturing, and quality assurance teams to identify and resolve any discrepancies. Their work helps prevent costly errors, improve product performance, and maintain compliance with industry standards.

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

To thrive as a Dimensional Engineer, you need expertise in metrology, geometric dimensioning and tolerancing (GD&T), and a relevant engineering degree, often in mechanical or manufacturing engineering. Familiarity with coordinate measuring machines (CMMs), CAD software, and quality management systems is typically required, with certifications like ASME GD&T or Six Sigma being advantageous. Strong analytical thinking, attention to detail, and clear communication skills help you effectively interpret data and collaborate across teams. These abilities are crucial for ensuring product accuracy, minimizing defects, and maintaining high manufacturing standards.

How does a dimensional engineer typically collaborate with design and manufacturing teams during a project?

A Dimensional Engineer plays a key role in bridging design intent and manufacturing reality by working closely with both design and production teams. They review CAD models and engineering drawings to ensure dimensional accuracy, then communicate requirements and tolerances to manufacturing personnel. Regular meetings and feedback sessions help address any feasibility concerns early in the process. This collaboration ensures that parts meet quality standards while minimizing costly rework or delays.

What is the difference between Dimensional Engineer vs Mechanical Engineer?

AspectDimensional EngineerMechanical Engineer
Required CredentialsBachelor's in Engineering, certifications in CAD or measurement toolsBachelor's in Mechanical Engineering, often with PE license
Work EnvironmentManufacturing, aerospace, automotive, focusing on precision measurementsDesign, analysis, and testing across various industries
Industry UsageUsed in industries requiring tight tolerances and quality controlBroadly used in product design, development, and manufacturing

Dimensional Engineers specialize in precise measurements, quality control, and ensuring parts meet specifications, often working closely with manufacturing teams. Mechanical Engineers focus on designing, analyzing, and testing mechanical systems. While both roles require engineering degrees, Dimensional Engineers emphasize measurement and quality assurance, whereas Mechanical Engineers focus on product development and system functionality.

What are popular job titles related to Dimensional Engineer jobs in Kansas?

For Dimensional Engineer jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Dimensional Engineer jobs in Kansas look for?

The top searched job categories for Dimensional Engineer jobs in Kansas are:

What are popular job titles related to Dimensional Engineer jobs in KS?

For Dimensional Engineer jobs in KS, the most frequently searched job titles are:

Infographic showing various Dimensional Engineer job openings in Kansas as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $83,266 per year, or $40 per hour.

$113K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

LOCATION: OVERLAND PARK, KS or OMAHA, NE
COMPANY OVERVIEW
Heritage Vet Partners (HVP) is the nation's leading veterinary partnership specializing in mixed/large animal practices. We believe there is great value in the legacy, customer relationships, brand, culture, and team that veterinarians have built. Our goal is to provide services and support around the foundation veterinarians have developed. Most importantly, we believe that together we can best meet the changing needs of the customers and industries that we serve. We are very excited about the future of mixed and large animal practice and want our partnering practices and veterinarians to enjoy the success of Heritage Vet Partners. HVP currently has offices in Omaha, NE, Overland Park, KS and West Point, NE, as well as clinics/locations in 14 states! Learn more on our website!
ABOUT THE ROLE
Our data warehouse sits at the center of how the business runs: it is used by stakeholders ranging from executives to finance to operations to clinic level providers and staff. We have data architecture/engineering to keep the pipelines flowing and report builders turning models into insight. What we need now is the person who owns the layer in between.
As our Analytics Engineer, you will own the SQL side of the house: the curated schema of reporting views, business logic, and semantic model foundations that transform raw warehouse tables into clean, consistent, trustworthy data products. When a metric shows up on an executive dashboard or inside one of our applications, your work is the reason everyone trusts the number.
This is a hands-on builder role for someone who thinks in data models, writes SQL fluently and defensively, and takes pride in being the person who makes messy source data make sense. You'll also lean on AI tools as part of how you build using coding assistants to move faster on SQL and documentation without ever outsourcing your judgment about what's correct. You will be the connective tissue between the engineers who land the data and the analysts who present it, and you will have real ownership of how that middle layer is designed.
WHAT YOU'LL OWN
  • The reporting schema: Design, build, and maintain the reporting view layer of our SQL Server / Azure SQL data warehouse: the governed, documented views that serve as the single contract between raw data and everything downstream.
  • Business logic in SQL: Translate business definitions into durable SQL logic so metrics are defined once, in one place, and reused everywhere.
  • Semantic model foundations: Own the structure of our Analysis Services / Power BI semantic models: tables, relationships, and core measures, so report builders can work from a clean, performant model rather than reinventing logic per report.
  • Data quality and reconciliation: Build validation checks and reconciliation queries that catch problems before stakeholders do. Investigate discrepancies, trace them to root cause, and fix them at the right layer.
  • Performance of the reporting layer: Write efficient T-SQL, tune the queries and views that power reporting workloads, and know when a view should become an indexed view, a materialized table, or a redesign.
  • Documentation and lineage: Maintain clear documentation of the reporting schema, metric definitions, and data lineage so the warehouse is understandable, not tribal knowledge.
  • AI-assisted development: Use AI coding assistants (e.g., GitHub Copilot, ChatGPT, Claude) to accelerate T-SQL development, documentation, and code review while retaining full ownership and accountability for the correctness of what goes live into production.
  • Cross-functional partnership: Partner with data engineering on upstream schema changes, with BI developers on model needs, and with business stakeholders to turn ambiguous asks into concrete, correct data definitions.

WHAT YOU BRING
  • 3+ years working hands-on with SQL Server or Azure SQL in an analytics, data warehousing, or reporting context
  • Expert-level T-SQL: complex joins, window functions, CTEs, and the judgment to know when a query is correct versus merely returning rows
  • Real experience with dimensional modeling and reporting-layer design (star schemas, conformed dimensions, slowly changing logic), and opinions about when to break the rules
  • Working knowledge of the Microsoft BI stack: Analysis Services (tabular), Power BI semantic models, and enough DAX to design models that measure-writers can build on
  • Comfort using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to draft, review, and debug complex SQL with the judgment to validate AI-generated logic before it goes into production, rather than accepting output at face value
  • A track record of turning vague business questions into precise data definitions, and of defending data quality when it would be easier to ship the number
  • Strong written communication: your documentation, view comments, and metric definitions will be read by engineers and executives alike

NICE TO HAVE
  • Experience in healthcare, clinical, or other regulated data environments
  • Exposure to version-controlled model development (TMDL, Tabular Editor, Git-based workflows)
  • Power Query / M experience, or experience supporting Excel-based analytical consumers of the warehouse
  • Familiarity with modern analytics engineering tooling and practices (dbt or similar), even if our stack is SQL-native
  • Experience evaluating or adopting AI-assisted BI features (e.g., Power BI Copilot, natural language query tools) in a reporting environment

WHY THIS ROLE
You will not be one of fifty analytics engineers maintaining someone else's decisions. The reporting layer is yours to design, improve, and be known for. Your work will be visible in every board deck, every operational dashboard, and every application screen that shows a number, and the people who depend on it will know exactly who made it trustworthy.
BENEFITS
HVP offers a full benefits package, including various health insurance plan options, vision, dental, and life insurance, long and short term disability, critical illness and accident insurance, and GAP insurance. We also offer Flexible Spending Accounts as well as Health Savings Accounts. A generous paid time off policy allows our employees the flexibility they need for work/life balance. HVP invests in your future by offering a company sponsored 401k plan with employer match, along with access to a financial planner!
Along with the above, other perks include the option for career advancement, professional development, and continuing education. This is a primarily in-office position, but with the flexibility for remote work if needed!
STATEMENT
All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, citizenship or immigration status, or any other protected classification, in accordance with applicable federal, state, and local laws. By completing this application, you are seeking to join a team of hardworking professionals dedicated to consistently delivering outstanding service to our customers and contributing to the financial success of the organization, its clients, and its employees. Equal access to programs, services, and employment is available to all qualified persons. Those applicants requiring an accommodation to complete the application and/or interview process should contact a management representative.
JOB CODE: 85 - MSO