Medical Devices STEM OPT Jobs in California
California's medical devices industry spans San Diego's biotech corridor, the San Francisco Bay Area, and the greater Los Angeles region, with companies like Medtronic, Boston Scientific, and Abbott employing biomedical engineers, quality engineers, and R&D specialists. Many of these employers have established F-1 STEM OPT sponsorship pathways, making California one of the most active states for medical devices OPT roles.
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Get Access To All JobsMany structural heart patients suffer from heart failure with limited options. Our Implantable Heart Failure Management (IHFM) team is at the forefront of addressing these unmet patient needs through pioneering technology that enables early, targeted therapeutic intervention. Our innovative solutions are not just transforming patient care but also creating a unique and exciting environment for our team members. It’s our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.
We’re seeking a Data Engineer with strong enterprise experience delivering data product solutions on the Databricks Lakehouse Platform. The ideal candidate brings hands-on expertise building scalable, governed, production-grade data pipelines and analytics products using Databricks, Apache Spark, SQL, and CI/CD practices. This role focuses on transforming raw data into trusted, reusable data products that support analytics, reporting, and downstream applications across the enterprise.
How you’ll make an impact:
- Apply hands-on expertise in Python, cloud technologies, Databricks, Apache Spark, SQL, and AI to build scalable and innovative data solutions
- Design, build, and maintain scalable, well-documented enterprise data products and ETL/ELT pipelines supporting batch and near-real-time processing
- Monitor, optimize, and tune data infrastructure and Spark/Databricks workloads to improve performance and cost efficiency
- Collaborate cross-functionally with Data Science, Analytics, DevOps, Product, and Platform Engineering teams to deliver new features and data products
- Troubleshoot and resolve data pipeline issues; ensure data quality through testing, monitoring, and CI/CD best practices
- Ensure compliance with data privacy standards, including the handling of Patient Health Information (PHI), and adhere to enterprise security and governance policies
- Contribute to architecture discussions and implement best practices such as layered data modeling and Lakehouse design patterns
- Perform other incidental duties as assigned
What you’ll need:
- Bachelor’s degree in a related field, plus experience in Data Engineering, DevOps, or Software Development
- Strong hands-on Databricks experience
- Advanced SQL skills for data transformation, analytics, and data modeling
What else we look for:
- Hands-on experience with cloud platforms (AWS preferred: EC2, S3, Lambda; Azure or GCP also acceptable)
- Experience with Databricks Workflows, Repos, Jobs, and cluster configuration
- Proven experience building and deploying production-grade data workloads
- Proficiency in Spark (PySpark or Scala) with strong understanding of performance tuning and internals
- Experience with Delta Lake (e.g., schema evolution, time travel, optimization)
- Understanding of Lakehouse architecture, medallion design, and enterprise data modeling standards
- Strong foundation in databases, ETL processes, and data structures
- Experience with data governance and security practices (RBAC, data masking, PII handling)
- Familiarity with data quality frameworks (e.g., Great Expectations, Deequ, or custom validation checks)
- Understanding of data contracts, SLAs, lineage, and data ownership models
- Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, or GitLab CI) and version control using Git
- Experience delivering end-to-end data products (not just pipelines) for analytics, BI, and application use cases
- Experience working in regulated environments (e.g., healthcare, finance, or life sciences) preferred
- Eligibility to work in the U.S. or EU, with the ability to travel as required
- Ability to comply with company policies, including Environmental Health & Safety and applicable workplace protocols
Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For California (CA), the base pay range for this position is $87,000 to $123,000 (highly experienced).
The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.
COVID Vaccination Requirement
Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.
Many structural heart patients suffer from heart failure with limited options. Our Implantable Heart Failure Management (IHFM) team is at the forefront of addressing these unmet patient needs through pioneering technology that enables early, targeted therapeutic intervention. Our innovative solutions are not just transforming patient care but also creating a unique and exciting environment for our team members. It’s our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.
We’re seeking a Data Engineer with strong enterprise experience delivering data product solutions on the Databricks Lakehouse Platform. The ideal candidate brings hands-on expertise building scalable, governed, production-grade data pipelines and analytics products using Databricks, Apache Spark, SQL, and CI/CD practices. This role focuses on transforming raw data into trusted, reusable data products that support analytics, reporting, and downstream applications across the enterprise.
How you’ll make an impact:
- Apply hands-on expertise in Python, cloud technologies, Databricks, Apache Spark, SQL, and AI to build scalable and innovative data solutions
- Design, build, and maintain scalable, well-documented enterprise data products and ETL/ELT pipelines supporting batch and near-real-time processing
- Monitor, optimize, and tune data infrastructure and Spark/Databricks workloads to improve performance and cost efficiency
- Collaborate cross-functionally with Data Science, Analytics, DevOps, Product, and Platform Engineering teams to deliver new features and data products
- Troubleshoot and resolve data pipeline issues; ensure data quality through testing, monitoring, and CI/CD best practices
- Ensure compliance with data privacy standards, including the handling of Patient Health Information (PHI), and adhere to enterprise security and governance policies
- Contribute to architecture discussions and implement best practices such as layered data modeling and Lakehouse design patterns
- Perform other incidental duties as assigned
What you’ll need:
- Bachelor’s degree in a related field, plus experience in Data Engineering, DevOps, or Software Development
- Strong hands-on Databricks experience
- Advanced SQL skills for data transformation, analytics, and data modeling
What else we look for:
- Hands-on experience with cloud platforms (AWS preferred: EC2, S3, Lambda; Azure or GCP also acceptable)
- Experience with Databricks Workflows, Repos, Jobs, and cluster configuration
- Proven experience building and deploying production-grade data workloads
- Proficiency in Spark (PySpark or Scala) with strong understanding of performance tuning and internals
- Experience with Delta Lake (e.g., schema evolution, time travel, optimization)
- Understanding of Lakehouse architecture, medallion design, and enterprise data modeling standards
- Strong foundation in databases, ETL processes, and data structures
- Experience with data governance and security practices (RBAC, data masking, PII handling)
- Familiarity with data quality frameworks (e.g., Great Expectations, Deequ, or custom validation checks)
- Understanding of data contracts, SLAs, lineage, and data ownership models
- Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, or GitLab CI) and version control using Git
- Experience delivering end-to-end data products (not just pipelines) for analytics, BI, and application use cases
- Experience working in regulated environments (e.g., healthcare, finance, or life sciences) preferred
- Eligibility to work in the U.S. or EU, with the ability to travel as required
- Ability to comply with company policies, including Environmental Health & Safety and applicable workplace protocols
Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For California (CA), the base pay range for this position is $87,000 to $123,000 (highly experienced).
The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.
COVID Vaccination Requirement
Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.
STEM OPT Medical Devices Job Roles in California
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Search Medical Devices Jobs in CaliforniaMedical Devices STEM OPT Sponsorship Jobs in California: Frequently Asked Questions
Which medical devices companies sponsor F-1 STEM OPT visas in California?
California-based and California-operating medical devices companies with documented STEM OPT sponsorship history include Medtronic, Abbott, Boston Scientific, Edwards Lifesciences, Becton Dickinson, and Intuitive Surgical. Smaller contract manufacturers and digital health startups in the San Diego and Bay Area corridors also sponsor OPT students, particularly for engineering and quality roles. Sponsorship patterns vary by company size, hiring cycle, and the specific role's STEM degree classification eligibility.
Which cities in California have the most medical devices F-1 STEM OPT sponsorship jobs?
San Diego leads California for medical devices OPT hiring, driven by a dense cluster of device manufacturers and contract research organizations in the Sorrento Valley and Torrey Pines areas. The San Francisco Bay Area, particularly Sunnyvale and Santa Clara, hosts strong robotics and digital health device employers. Los Angeles and Orange County round out the state's major hiring hubs, especially for combination products and orthopedic device companies.
What types of medical devices roles typically qualify for F-1 STEM OPT sponsorship?
Roles that most commonly qualify include biomedical engineering, electrical engineering, mechanical engineering, software engineering for embedded or regulatory systems, quality assurance engineering, regulatory affairs, and manufacturing process engineering. These positions typically map to STEM-designated STEM degree classifications, which is a requirement for STEM OPT extension eligibility. Always verify that the specific job title and STEM degree classification assigned by your employer appear on the official STEM OPT designated degree list.
How do I find medical devices F-1 STEM OPT sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa type and industry, so you can search directly for medical devices roles in California that have F-1 STEM OPT sponsorship. This removes the guesswork of contacting employers who don't sponsor. You can also cross-reference employer LCA filing history through OFLC to confirm which California medical devices companies have an active sponsorship track record before applying.
Are there any California-specific considerations for F-1 STEM OPT sponsorship in medical devices?
California's stringent labor laws and its status as an at-will employment state do not directly affect OPT eligibility, but they do shape how employers structure internships versus full-time roles. Medical devices companies in California operating under FDA 21 CFR Part 820 quality regulations often require OPT hires to participate in formal training programs, which must align with the student's degree field to satisfy STEM OPT's requirement that the position be related to the qualifying STEM degree.