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Remote Dimensional Control Jobs (NOW HIRING)

Senior Python Engineer

$124K - $167K/yr

... and quality control, data integration, storage, management, and data delivery. * Write unit ... Docker * Okta, OAuth2, PlainID #LI-Remote Dimensional offers a variety of programs to help take ...

Talent Community

Houston, TX · Remote

$17.25 - $23/hr

If you're interested in joining Dimensional Energy but don't see an opportunity that you'd like to ... Control / Process / Mechanical Engineering (Houston, TX / Tucson, AZ / Remote) * Catalysis ...

Remote Shift: Varies Summary Team Lead will work directly with operations to support production ... Provide hands-on assistance in area of cost reduction- areas such as: dimensional control ...

Remote Shift: Varies Summary Team Lead will work directly with operations to support production ... Provide hands-on assistance in area of cost reduction- areas such as: dimensional control ...

Remote Shift: Varies Summary Team Lead will work directly with operations to support production ... Provide hands-on assistance in area of cost reduction- areas such as: dimensional control ...

Provide remote and on-site technical support for ZEISS Industrial Metrology systems, including ... Strong ability to interpret engineering drawings for dimensional control requirements.

Capable of interpreting and developing Dimensional Inspection Reports * A self-starter, who works ... Previous remote work experience a plus #LI-Hybrid Xometry is an equal opportunity employer. All ...

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Remote Dimensional Control information

See salary details

$62.5K

$93.4K

$165K

How much do remote dimensional control jobs pay per year?

As of Aug 1, 2026, the average yearly pay for remote dimensional control in the United States is $93,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $110,000.00 per year, depending on experience, location, and employer.

How does a Remote Dimensional Control professional typically collaborate with on-site teams to ensure measurement accuracy?

Remote Dimensional Control professionals frequently work alongside on-site engineering and construction teams by leveraging digital tools, such as 3D scanning software and real-time data sharing platforms. Effective communication is essential, as remote specialists must interpret measurement data, provide clear instructions, and quickly address any discrepancies. Regular virtual meetings and detailed reporting help bridge the gap between remote and field operations, ensuring that all parties maintain alignment on project specifications and quality standards. This collaborative approach is crucial for minimizing errors and meeting project deadlines.

What is the difference between Remote Dimensional Control vs Remote Quality Control Inspector?

AspectRemote Dimensional ControlRemote Quality Control Inspector
CertificationsTypically requires CMM programming, metrology, or quality assurance certificationsRequires quality assurance, inspection, or industry-specific certifications
Work EnvironmentUses CMMs, laser scanners, and measurement tools remotely, often in manufacturing or aerospaceReviews inspection reports, audits, and quality documentation remotely in manufacturing or industrial settings
Industry UsageCommon in aerospace, automotive, and manufacturing industriesWidely used across manufacturing, construction, and industrial sectors

Remote Dimensional Control focuses on precise measurements and calibration of parts using specialized tools, while Remote Quality Control Inspectors evaluate overall product quality and compliance through documentation and reports. Both roles require industry-specific knowledge but differ in their core responsibilities and tools used.

What are the key skills and qualifications needed to thrive as a Remote Dimensional Control Specialist, and why are they important?

To thrive as a Remote Dimensional Control Specialist, you need a strong background in engineering principles, metrology, and geometric dimensioning and tolerancing, often supported by a relevant technical degree or certification. Familiarity with 3D measurement tools such as laser trackers, total stations, and CAD software is typically required. Attention to detail, analytical thinking, and effective remote communication are crucial soft skills for this role. These skills ensure precise measurement, accurate data interpretation, and seamless project collaboration, which are vital for maintaining quality and minimizing errors in remote or industrial settings.

What are Remote Dimensional Control jobs?

Remote Dimensional Control jobs involve using specialized tools and technology to measure and monitor the physical dimensions of objects or structures from a remote location. Professionals in this field ensure that parts, products, or installations meet precise specifications, often in industries like manufacturing, construction, or oil and gas. They may use laser scanning, 3D modeling, and other advanced measurement systems to collect data and provide quality assurance. These roles are increasingly performed remotely, allowing experts to analyze data and provide guidance without being physically present on-site.
More about Remote Dimensional Control jobs
What cities are hiring for Remote Dimensional Control jobs? Cities with the most Remote Dimensional Control job openings:
What are the most commonly searched types of Dimensional Control jobs? The most popular types of Dimensional Control jobs are:
What states have the most Remote Dimensional Control jobs? States with the most job openings for Remote Dimensional Control jobs include:
Infographic showing various Remote Dimensional Control job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $93,364 per year, or $44.9 per hour.

$124K - $167K/yr

Full-time

Re-posted 5 days ago


Job description

Job Description:
About Dimensional:
Dimensional was built around a set of ideas bigger than the firm itself. With a confidence in markets, deep connections to the academic community, and a focus on implementation, we go where the science leads, and continue to pursue new insights, both large and small, that can benefit our clients.
The Technology Department at Dimensional leverages the rapidly evolving state of the art to engineer the platforms that power the innovative, research-driven financial and technical products to improve our client's financial lives.
As a Senior Python Engineer within the Data Distribution team you will participate in the management of Dimensional's enterprise investment data warehouse which supports Research, Portfolio management, Trading, and Analytic functions. You will have the opportunity to understand our client's needs, collaborate on the design of solutions, and work with emerging data engineering tools and best practices. In this role, you will design, develop, document, and test multiple application services focusing on building scalable data platform and services. You will also expand and optimize our data and data pipeline architecture. A successful candidate will demonstrate strong technical and analytical ability across multiple tech stacks as well as bring passion for optimizing and building data applications from the ground up.
You may be a fit for this role if you:
  • Are open-minded, curious, and resourceful.

  • Lead with vision and purpose to bring about transformational change.

  • Are passionate about/stay current with modern technologies/solutions.

  • Solve problems systematically and transparently.

  • Share ideas, solicit/integrate feedback, design and solve collaboratively.

  • Demonstrate engineering and security mindsets.

What you might work on:
  • Build and deliver investment data technology solutions in support of Research, Portfolio Management, Trading, Analytics and Reporting functions.

  • Formulate, design, develop, test, and deliver data technology solutions with a balanced focus on speed and quality.

  • Collaborate with business analysts, product owners, and project managers to develop user stories, estimates, and work plans.

  • Work with minimal supervision and advise business clients and IT management of technology capabilities and recommend strategies to maximize the benefits of new technologies.

  • Identify, design, and implement changes to data pipelines at various stages including data ingestion, data validation, and quality control, data integration, storage, management, and data delivery.

  • Write unit/integration tests, contribute to engineering wiki, and write detailed documentation

  • Build high-performance and scalable data-transfer toolsets which reliably transfer datasets between endpoints within established SLA's.

  • Focus on data consistency, refresh rates and caching requirements while keeping the data current across a variety of interfaces.

  • Build and enhance CI/CD pipelines and develop supportable solutions. Participate in code and design reviews.

  • Provide technical troubleshooting and support for production systems.

Qualifications:
  • Bachelor's degree in engineering, math, computer science, or a related field, or equivalent work experience.

  • 4-5 years of programming experience in Python (open source) or equivalent.

  • Proficiency in building RESTful APIs and web services.

  • 4-5 years of SQL experience.

  • Proven track record of leveraging SOLID principles and Domain Driven Design to drive successful outcomes.

  • Experience in high performance and high availability data applications including expertise in performance optimization and tuning.

  • Experience with automated acceptance testing and ability to write unit-tested, maintainable code.

  • Strong understanding of cyber security risks and demonstrated ability to design and build highly secure applications.

  • Experience working in a dynamic and interactive team environment to build world-class software implementations.

  • Knowledge of best practices and IT operations in an always-up, always-available service.

  • Experience working with both Agile/Scrum and waterfall methodologies with a software development and integration focus.

Preferred Competencies:
  • Master's degree in engineering, math, computer science, or a related field

  • Proficiency with NoSQL database implementation and optimization

  • Ability to work on multiple programming languages and platforms is strongly preferred

  • Financial services industry knowledge or experience

  • Experience with the following:

  • Kafka

  • Airflow

  • PostrgeSQL

  • Ansible

  • Elastic Stack

  • RabbitMQ

  • Redis

  • Docker

  • Okta, OAuth2, PlainID

#LI-Remote
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.