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Dimensional Management Engineer Jobs in Bothell, WA

Lead Data Engineer

Lynnwood, WA · On-site

$45 - $55/hr

Establish standards for development, testing, code quality, and release management. * Ensure data ... Strong knowledge of dimensional modeling, operational data stores, and enterprise integration. * At ...

... management of a robust Content Catalog, with explicit accountability for software quality, the ... Experience building structured, multi-dimensional growth plans for engineers and reducing single ...

Manager, Engineering - Brands Team

Bellevue, WA · On-site

$21 - $23.25/hr

... management of a robust Content Catalog, with explicit accountability for software quality, the ... Experience building structured, multi-dimensional growth plans for engineers and reducing single ...

Manager, Engineering - Brands Team

Bellevue, WA · On-site

$21 - $23.25/hr

... management of a robust Content Catalog, with explicit accountability for software quality, the ... Experience building structured, multi-dimensional growth plans for engineers and reducing single ...

Align with Commodity Managers and Engineering teams on supplier readiness for new programs or ... This multi-dimensional approach enables us to solve the most critical and large-scale challenges ...

... Manager. The desired candidate will perform a variety of tasks which may include engineering ... Utilizes technologies in development of three-dimensional models of civil systems and provides ...

Senior Electrical Engineer

Seattle, WA · On-site

$122K - $159K/yr

... dimensional compatibility along with assemblies and components Interact with clients, vendors ... PE Licensed Strong oral, written, and communication skills Excellent time-management and ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Communicate regularly with Engagement Managers (Directors), project team members, and ... Develop transformation layers and curated datasets in Snowflake, including dimensional/data product ...

Utilizes technologies in development of three dimensional models of electrical systems. * Provides ... Develops and manages the project scope, budget, staffing and schedule. * Leads the preparation and ...

Data Engineer

Seattle, WA

$130K - $156K/yr

... managed with diligence, patience and pride. That's the Weyerhaeuser way. About the Role ... Partner with analytics engineers and data analysts to build dimensional models and semantic views ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... managed with diligence, patience and pride. That's the Weyerhaeuser way. About the Role ... Partner with analytics engineers and data analysts to build dimensional models and semantic views ...

Plan, estimate, prioritize, and manage work activities to support meeting project schedules and ... and dimensional tolerance analysis * Knowledge of electronics packaging Skills/Abilities

Showing results 41-60

Dimensional Management Engineer information

See Bothell, WA salary details

$69.9K

$104.4K

$184.5K

How much do dimensional management engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for dimensional management engineer in Bothell, WA is $104,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $123,000.00 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 Bothell, WA?

For Dimensional Management Engineer jobs in Bothell, WA, the most frequently searched job titles are:

What cities near Bothell, WA are hiring for Dimensional Management Engineer jobs?

Cities near Bothell, WA with the most Dimensional Management Engineer job openings:

Infographic showing various Dimensional Management Engineer job openings in Bothell, WA as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $104,370 per year, or $50.2 per hour.

Lead Data Engineer

Lynnwood, WA • On-site

$45 - $55/hr

Full-time

Re-posted 24 days ago


Key responsibilities

  • Design and optimize scalable data pipelines and ETL/ELT workflows using Azure Databricks, PySpark, SQL, and Delta Lake

  • Provide technical leadership, mentoring, and guidance to data engineers

  • Support migrations from legacy environments to modern cloud data platforms


Job description

Benefits:
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Lead Data Engineer – Azure Databricks
Location: Charlotte, North Carolina 28273
Work Arrangement: Onsite, 5 days per week

Let’s Create Our Future Together at The AES Group

The AES Group is a technology and engineering consulting company with more than 20 years of experience connecting organizations with skilled professionals and innovative solutions across cloud, data, AI, and engineering.

Why Join This Opportunity?

  • Lead high-impact enterprise data engineering initiatives
  • Mentor and guide a growing team of data engineers
  • Work with modern Azure Databricks and cloud data technologies
  • Support large-scale data modernization and legacy migration programs
  • Collaborate with technical leaders and business stakeholders
  • Gain exposure to Power BI, MicroStrategy, Delta Lake, Azure DevOps, and data governance frameworks
Position Overview
The AES Group Inc. is seeking an experienced Lead Data Engineer to support one of our enterprise clients. This role will lead the design, development, and optimization of scalable cloud data platforms while establishing engineering standards and mentoring team members.
The ideal candidate will have recent hands-on experience with Azure Databricks, Python, PySpark, SQL, ETL/ELT development, and modern data warehouse architecture.

Key Responsibilities

  • Design and optimize scalable data pipelines and ETL/ELT workflows using Azure Databricks, PySpark, SQL, and Delta Lake.
  • Provide technical leadership, mentoring, and guidance to data engineers.
  • Improve CI/CD pipelines using Azure DevOps, Git, Terraform, and automated deployment frameworks.
  • Establish standards for development, testing, code quality, and release management.
  • Ensure data accuracy through integration, transformation, validation, and cleansing processes.
  • Use Python and PySpark for automation, data processing, and performance optimization.
  • Support migrations from legacy environments to modern cloud data platforms.
  • Translate business and technical requirements into scalable data solutions.
  • Apply governance and security practices using Unity Catalog, Azure RBAC, managed identities, and access controls.
  • Support Power BI reporting environments and provide exposure to MicroStrategy.
  • Participate in on-call support and resolve production issues when required.
Required Qualifications
  • Bachelor’s degree in Computer Science, Information Systems, Information Technology, or a related field, or equivalent experience.
  • At least 3 years of hands-on Azure Databricks experience.
  • Strong knowledge of current Azure Databricks features and capabilities.
  • At least 5 years of data warehouse analysis, architecture, and design experience.
  • Strong knowledge of dimensional modeling, operational data stores, and enterprise integration.
  • At least 5 years of ETL/ELT development using Python, PySpark, and SQL.
  • Experience with Terraform, Git, CI/CD pipelines, and Azure DevOps.
  • Demonstrated experience leading and mentoring data engineering teams.
  • Strong communication, problem-solving, and stakeholder-management skills.
Preferred Qualifications
  • Databricks Data Engineer Associate or Professional certification.
  • Experience with Unity Catalog, Azure RBAC, managed identities, and data governance.
  • Familiarity with Power BI and MicroStrategy architecture.
  • Experience in regulated, quality-focused, or compliance-driven environments.
Ready to make an impact? Apply now and join us on our journey!