ZipRecruiter

Log In

1

Dimensional Engineer Jobs in Texas (NOW HIRING)

Dimensional Fund Advisors

Researcher

Austin, TX · On-site

The Research department at Dimensional is integral both in the successful day-to-day functioning of ... PhD in a discipline such as finance, economics, actuarial mathematics, statistics, engineering ...

previous pagenext page

Showing results 21-40

All JobsDimensional Engineer JobsDimensional Engineer Jobs in Texas

Dimensional Engineer information

See Texas salary details

$58.2K

$87K

$153.7K

How much do dimensional engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for dimensional engineer in Texas is $86,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $102,500.00 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.

More about Dimensional Engineer jobs

What are the most commonly searched types of Dimensional Engineer jobs in Texas?

The most popular types of Dimensional Engineer jobs in Texas are:

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

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

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

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

What cities in Texas are hiring for Dimensional Engineer jobs?

Cities in Texas with the most Dimensional Engineer job openings:

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

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

Dimensional Engineer jobs near you
Infographic showing various Dimensional Engineer job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $86,983 per year, or $41.8 per hour.

Analyst/Associate, Investment Engineering (Data Solutions)

Dimensional Fund Advisors

Austin, TX • On-site

Full-time

Posted 15 days ago

Job description

Job Description:

Dimensional's Investment Engineering department is responsible for ownership of investment data, which means managing data from acquisition through distribution, driving analysis to create information from data, and creating the information and analysis consumed by internal and external reports. Investment Engineering is a hub group touching numerous areas of the implementation of the investment process and interacting with most other departments within Dimensional.

The Data Solutions team's primary responsibilities involve overseeing the incoming base-level data and the centralized management and distribution of investment data to Dimensional's internal Portfolio Management, Trading, and Reporting systems.

The Data Solutions team seeks an Analyst/Associate capable of supporting key initiatives underpinning our daily implementation process. This role will work within the team to analyze the quality of investment data within Dimensional, including security reference, prices, ratings, and all other data crucial to the investment process. They will be a subject matter expert in the team's existing data products and work to design new products. Success in this role will mean delivering clean, accurate data to internal as well as external clients in a timely manner, being creative at finding different ways to analyze and present relevant investment data and enhancing operational efficiencies at Dimensional to deliver value-added investment solutions to our clients.

Responsibilities:

  • Support Dimensional's investment processes by ensuring tools and systems are built with appropriate business logic.

  • Compile, cleanse, and manage large data sets from multiple sources to support investment systems.

  • Research and evaluate vendor data to assess quality and recommend optimal consumption patterns.

  • Conduct data analysis using SQL Server, Snowflake, and other structured/ unstructured database technologies.

  • Partner with Portfolio Management, Trading, Compliance to address portfolio construction questions and perform related analysis.

  • Collaborate with internal clients to gather and define requirements for core business systems, and then design, build, and test data pipelines in partnership with data engineer resources.

  • Assist in shaping data architecture for internal distribution of investment data, including defining and building data structures for end-user consumption.

  • Drive efficiency through automation, process design, and implementation.

  • Mentor and provide guidance to junior analysts, fostering skill development and knowledge-sharing across the team.

Qualifications:

  • Bachelor's degree in Finance, Accounting, Computer Science, Engineering, Business, or a related field. Master's degree and/or professional certifications (e.g. CFA) preferred.

  • 3-5+ years of experience working with large investment datasets, performing quantitative analysis, and leveraging SQL, Python, or similar data management tools.

  • Strongly preferred: experience working with financial data sets and vendor platforms (Bloomberg, Factset, Refinitiv, Morningstar, etc.).

  • Demonstrated interest and passion for financial markets.

  • Experience working in Agile/Scrum teams, writing business requirements, and communicating effectively with software engineers.

  • Self-starter with proven ability to manage multiple projects and meet deadlines.

  • Strong analytical and quantitative problem-solving skills.

  • Attention to detail with the ability to connect findings to broader objectives and goals.

  • Excellent communication skills with the ability to convey complex ideas and bridge investment professionals and engineering teams.

This role is not eligible for immigration sponsorship.

Dimensional offers a variety of programs to help take care of you, your family, and your career, including comprehensive benefits, educational initiatives, and special celebrations of our history, culture, and growth.

It is the policy of the Company to provide equal opportunity for all employees and applicants. The Company recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to actual or perceived race, color, religion, religious practice, creed, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), caregiver status, gender, gender identity, gender expression, transgender identity, national origin, age, mental or physical disability, ancestry, medical condition, marital status, familial status, domestic partnership status, military or veteran status or service, unemployment status, citizenship status or alienage, sexual orientation, status as a victim of domestic violence, status as a victim of stalking, status as a victim of sex offenses, genetic information, political activities or recreational activities, arrest or conviction record, salary history, natural hairstyle or any other status protected by applicable law except as otherwise required or permitted by law or regulation applicable to the Company or its affiliates.

Apply