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Opt Engineer Jobs in Texas (NOW HIRING)

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

We are NOT able to consider candidates on any kind of visa that requires sponsorship, like STEM OPT ... Strong programming skills in Python & SQL and at least one major data platform ( Snowflake ...

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Falkofske Engineering, Inc., located in Arlington, Texas, has a position open for a near graduate ... Company will not sponsor H1-B or STEM-OPT. Job Type: Full-time Benefits: * 401(k) * 401(k) matching

Solutions Engineer, Remote

Austin, TX · On-site

$120K - $140K/yr

We are unable to sponsor H-1B, F-1 OPT, and STEM OPT extension at this time. Your Role We are seeking a motivated and technically proficient Solutions Engineer to serve as a trusted advisor to ...

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Opt Engineer information

See Texas salary details

$34.5K

$81.3K

$127.2K

How much do opt engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for opt engineer in Texas is $81,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,300.00 and $90,800.00 per year, depending on experience, location, and employer.

What types of projects and teams do Opt Engineers typically work on?

Opt Engineers often collaborate on multidisciplinary teams to design, prototype, and test optical components or systems such as lenses, lasers, or imaging devices. Your daily responsibilities may involve hands-on laboratory work, simulations using specialized software, and presenting technical findings to colleagues and stakeholders. You’ll likely work with mechanical, electrical, and software engineers, and may interact with manufacturing or quality assurance teams throughout a project's lifecycle. This environment encourages ongoing learning and cross-functional problem-solving, offering opportunities to contribute to cutting-edge advancements in fields like telecommunications, healthcare, and aerospace. As you gain experience, you can move into lead engineering roles, project management, or specialized technical positions.

What are the key skills and qualifications needed to thrive in the Opt Engineer position, and why are they important?

To excel as an Opt Engineer, you need strong analytical skills, a thorough understanding of optics and photonics, and a relevant degree in physics, optical engineering, or a related field. Proficiency with optical design software (such as Zemax or Code V), laboratory equipment, and familiarity with industry standards or certifications like SPIE or OSA membership can be advantageous. Excellent problem-solving abilities, teamwork, and strong communication skills set candidates apart in this collaborative and detail-oriented field. These skills are crucial for developing precise optical systems, troubleshooting complex issues, and ensuring successful project outcomes in diverse technical environments.

What does an Opt Engineer do?

An Opt Engineer, or Optical Engineer, designs, develops, and optimizes optical systems and components used in various applications, such as telecommunications, medical devices, and imaging systems. They apply principles of optics, physics, and engineering to create high-performance optical solutions. Their responsibilities may include lens design, laser system development, fiber optics, and optical testing. Additionally, they collaborate with multidisciplinary teams to ensure integration with electronic and mechanical components.

What are the most commonly searched types of Opt Engineer jobs in Texas? The most popular types of Opt Engineer jobs in Texas are:
What cities in Texas are hiring for Opt Engineer jobs? Cities in Texas with the most Opt Engineer job openings:
Infographic showing various Opt Engineer job openings in Texas as of June 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $81,259 per year, or $39.1 per hour.
Senior Data Engineer, Data Platform

Senior Data Engineer, Data Platform

Virtasant

Austin, TX • On-site, Remote

$113K - $136K/yr

Full-time

Posted 22 days ago


Job description

About Virtasant
Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, infrastructure, migration, and optimization, helping enterprises scale efficiently while maintaining cost control.
Our clients range from Fortune 500 companies to fast-growing startups, relying on us to build high-performance infrastructure, optimize cloud environments, and enable continuous delivery at scale.
About the role
We're looking for a Senior Data Engineer to join us and work with our client's Data Platform team. Our client is a leading healthcare technology company, dedicated to transforming the patient and provider experience through innovative, data-driven solutions.
You will architect and build core services, automation tools, and integrations that power our client's data ecosystem. You'll own high-impact platform components, improve pipeline reliability and observability, and partner closely with data engineering, analytics, and DevOps to advance the scalability and developer experience of our client's data platform.
For this role, we can only consider candidates located in contiguous US states.
Also, we are only able to consider candidates who are either US citizens, or Green Card Holders, or sole proprietors of their own LLC company.

We are NOT able to consider candidates on any kind of visa that requires sponsorship, like STEM OPT, H4 EAD, F-1 OPT, L-2S, CPT, etc.
What You'll Do
  • Build Automation & Tooling: Develop scalable backend services, APIs, and internal tools to automate data platform workflows (e.g., data onboarding, validation, pipeline orchestration, schema tracking, quality monitoring).
  • Data Platform Integration: Integrate tools with core data infrastructure, building pipelines (Airflow, Spark, dbt, Kafka, Snowflake, or similar) to expose capabilities via APIs and UIs.
  • Observability & Governance: Build visualization and monitoring components for data lineage, job health, and quality metrics.
  • Collaboration: Work cross-functionally with data engineering, product, and DevOps teams to define requirements and deliver end-to-end solutions.

What We're Looking For
  • You have to live in the contiguous United States and have all the necessary documentation to work under an independent contractor agreement. We cannot offer sponsorships or sponsorship transfers, so unfortunately, we CANNOT consider candidates on H1B, OPT, EAD, or CPT visas.
Must-Have Experience
  • 7+ years of experience in data engineering or software development with at least 5 years building production-grade data or platform services
  • Strong programming skills in Python & SQL and at least one major data platform (Snowflake, BigQuery, Redshift, or similar)
  • Develop tooling for schema evolution, data contracts, and developer self-service
  • Deep experience with streaming, distributed compute, or S3-based table formats (Spark, Kafka, Iceberg/Delta/Hudi).
  • Experience with schema governance, metadata systems, and data quality frameworks.
  • Understanding of orchestration tools (Airflow, Dagster, Prefect, etc.)
  • Solid grasp of CI/CD and Docker
  • At least 2 years of experience in AWS
  • Experience with building data pipelines using dbt
Nice-to-haves
  • Experience with data observability, data catalog, or metadata management tools
  • Experience working with healthcare data (X12, FHIR)
  • Proven experience in data migration projects (legacy technologies to the latest technologies)
  • Experience building internal developer platforms or data portals
  • Understanding of authentication/authorization (OAuth2, JWT, SSO)

Our recruitment process
  • Recruiter interview (30 min)
  • Technical Interview (45 min)
  • Screening interview with the client's hiring manager (30 min)
  • Client technical interview (45 min)

We strive to move efficiently from step to step to make the recruitment process as fast as possible.
What we offer
  • Totally remote within the contiguous United States, full-time (40h/week)
  • Stable, long-term independent contract agreement
  • Work hours - US Eastern time office hours

Our team Software Engineering Locations USA Remote status Fully Remote