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Dimensional Engineer Jobs in California (NOW HIRING)

YO AI Labs

Senior Data Engineer

Glendale, CA

$112K - $152K/yr

Data Modeling (Dimensional Modeling, Normalization, OLTP vs. OLAP) * Python for data engineering and automation. * Advanced SQL (complex queries, optimization, performance tuning). * Snowflake (hands ...

Arcus Biosciences

Bioinformatics Engineer

Hayward, CA · On-site

$120K - $155K/yr

The engineer will join highly technical, interdisciplinary teams and bring a creative, problem ... Process and QC high-dimensional datasets to expand internal databases (e.g., RNA-seq, scRNA-seq ...

Keysight Technologies, Inc.

R&D Engineer 2

Santa Rosa, CA · On-site

$93K - $155K/yr

Apply engineering principles, measurement science, mathematics, and physics to develop, document and maintain calibration systems, procedures and methods for dimensional inspection, measurement, and ...

Joby Aviation

Quality Engineer - Metrology

San Carlos, CA · On-site

$82K - $146K/yr

Participate in design for manufacturability reviews to ensure dimensional inspection requirements ... Support Quality Engineering and Manufacturing to investigate complex dimensional variations ...

Joby Aviation

Quality Engineer - Metrology

San Carlos, CA · On-site

$106K - $177K/yr

Participate in design for manufacturability reviews to ensure dimensional inspection requirements ... Support Quality Engineering and Manufacturing to investigate complex dimensional variations ...

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All JobsDimensional Engineer JobsDimensional Engineer Jobs in California

Dimensional Engineer information

See California salary details

$61.7K

$92.1K

$162.8K

How much do dimensional engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for dimensional engineer in California is $92,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $108,600.00 per year, depending on experience, location, and employer.

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.

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.

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 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.
More about Dimensional Engineer jobs
What are the most commonly searched types of Dimensional Engineer jobs in California? The most popular types of Dimensional Engineer jobs in California are:
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What job categories do people searching Dimensional Engineer jobs in California look for? The top searched job categories for Dimensional Engineer jobs in California are:
What cities in California are hiring for Dimensional Engineer jobs? Cities in California with the most Dimensional Engineer job openings:
What are popular job titles related to Dimensional Engineer jobs in CA? For Dimensional Engineer jobs in CA, the most frequently searched job titles are:
Dimensional Engineer jobs near you
Infographic showing various Dimensional Engineer job openings in California as of July 2026, with employment types broken down into 2% As Needed, 76% Full Time, 14% Part Time, 6% Contract, and 2% Nights. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $92,141 per year, or $44.3 per hour.

Senior Data Engineer

YO AI Labs

Glendale, CA

$112K - $152K/yr

Full-time

Posted 23 days ago

Job description

Job Description

  • Job title: Senior Data Engineer
  • Experience: 8-15 Years
  • Location: Glendale, USA
  • Job Type: Full-time


Must Haves:

  • 5+ years of Strong experience with Core Data Platform/Data Engineering.
  • Data Modeling (Dimensional Modeling, Normalization, OLTP vs. OLAP)
  • Python for data engineering and automation.
  • Advanced SQL (complex queries, optimization, performance tuning).
  • Snowflake (hands-on implementation and optimization).
  • Understanding of OLTP vs. OLAP architectures and data warehouse design

Qualifications:

  • 5+ years of data engineering experience developing data pipelines.
  • Strong understanding of data modeling principles, including Dimensional modeling and data normalization principles.
  • Proficiency in at least one major programming language (eg, Python).
  • Expert SQL skills and ability to create queries to analyze complex datasets.
  • Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
  • Experience with Snowflake.
  • Strong algorithmic problem-solving expertise
  • Comfortable working in a fast-paced and highly collaborative environment.
  • Advance understanding of OLTP vs OLAP environments


Key Responsibilities:

  • Create and maintain Data Platform pipelines.
  • Create Conceptual, Logical, and Physical data models.
  • Design table structures using DBT and define data pipelines to build performant, reliable, and scalable data solutions in a fast-growing data ecosystem.
  • Collaborate with other data engineers, data scientists, and cross-functional teams.
  • Ensure high operational efficiency and quality of the Core Data Platform datasets to ensure our solutions meet SLAs.
  • Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental technology improvements.
  • Maintain detailed documentation of your work and changes to support data quality and data governance requirements.