STEM OPT Python Engineer Jobs
Python Engineer roles qualify for STEM OPT because they require a STEM degree in computer science, software engineering, or a related field. Your 24-month STEM OPT extension is available once your employer enrolls in E-Verify and your DSO updates your I-20. That gives you up to 36 months total to work and build toward H-1B visa sponsorship.
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Get Access To All JobsDescription: Our customer is an American multinational technology company headquartered in San Ramon, California. Our customer is one of the world's largest technology companies based in Silicon Valley with operations all over the world. On this project, we are working with bleeding-edge big data technologies to develop a high-performance data analytics platform, which handles petabytes of data. Enhance fleet health data for evolving ML machine deployments through innovations like PRISM, SHAG, and Dark Sky. Your role involves refining big data pipelines, creating new ones, and ensuring code reliability to optimize spare part logistics and minimize shortages. Make a direct impact on the efficiency and reliability of our cutting-edge data center operations.
Responsibilities:
- Participate in design and development of Big Data analytical applications
- Design, support and continuously enhance the project code base, continuous integration pipeline, etc.
- Write complex ETL processes and frameworks for analytics and data management
- Work inside the team of industry experts on the cutting edge Big Data technologies to develop solutions for deployment at massive scale
Min requirements:
- Expert in Python, proficient in other languages such as Scala/Java is a plus
- Bachelor’s degree required, preferably in Computer Science or a related field
- Expert in Spark/Spark Streaming/Flink and experience with Hadoop or other big data processing technologies
- Expert in Kubernetes and AWS as a main cloud
- Strong object-oriented design skills, coupled with a proven understanding of data structures and algorithms
- Excellent communication and collaboration skills for requirement gathering and clarification
- Keen ability to lead with a high level of autonomy, versatility, and influence to drive key projects to completion
We offer:
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
Description: Our customer is an American multinational technology company headquartered in San Ramon, California. Our customer is one of the world's largest technology companies based in Silicon Valley with operations all over the world. On this project, we are working with bleeding-edge big data technologies to develop a high-performance data analytics platform, which handles petabytes of data. Enhance fleet health data for evolving ML machine deployments through innovations like PRISM, SHAG, and Dark Sky. Your role involves refining big data pipelines, creating new ones, and ensuring code reliability to optimize spare part logistics and minimize shortages. Make a direct impact on the efficiency and reliability of our cutting-edge data center operations.
Responsibilities:
- Participate in design and development of Big Data analytical applications
- Design, support and continuously enhance the project code base, continuous integration pipeline, etc.
- Write complex ETL processes and frameworks for analytics and data management
- Work inside the team of industry experts on the cutting edge Big Data technologies to develop solutions for deployment at massive scale
Min requirements:
- Expert in Python, proficient in other languages such as Scala/Java is a plus
- Bachelor’s degree required, preferably in Computer Science or a related field
- Expert in Spark/Spark Streaming/Flink and experience with Hadoop or other big data processing technologies
- Expert in Kubernetes and AWS as a main cloud
- Strong object-oriented design skills, coupled with a proven understanding of data structures and algorithms
- Excellent communication and collaboration skills for requirement gathering and clarification
- Keen ability to lead with a high level of autonomy, versatility, and influence to drive key projects to completion
We offer:
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Python Engineer
Verify your degree qualifies by CIP code
Check your degree's CIP code against the DHS STEM Designated Degree Program List before applying. Computer science, information systems, and software engineering CIP codes all qualify, but interdisciplinary or applied programs sometimes don't, and catching this early prevents a denied extension.
Confirm E-Verify enrollment before accepting offers
Ask hiring managers to confirm their E-Verify company ID during the offer stage, not after. Employers can look enrolled but have lapsed accounts, and USCIS won't approve your STEM OPT extension if your employer's E-Verify participation isn't active on your start date.
Target employers with active H-1B LCA filings
Search Migrate Mate to filter Python Engineer roles by employers who have filed H-1B Labor Condition Applications. Employers with recent LCA history have already built the internal process to support work authorization transitions, which matters when your STEM OPT window closes.
Build your I-983 training plan around deliverables
Your I-983 training agreement must connect your Python work to your STEM degree field with specific learning objectives. Vague descriptions like 'software development tasks' get flagged during ICE audits. Tie each goal to a concrete deliverable, such as a production API, data pipeline, or model deployment.
File your STEM OPT extension 90 days before OPT expires
Submit your I-765 extension application to USCIS no later than 90 days before your current OPT EAD expires. If USCIS doesn't adjudicate in time, your cap-gap protection only applies if an H-1B petition is already pending, so timing the filing early reduces your exposure.
Use OFLC Wage Search to benchmark your offer wage
Python Engineer prevailing wages vary by experience level and metro area. Pull the wage level for your SOC code using the OFLC Wage Search before negotiating, so you know whether your offer meets the DOL threshold your employer will certify on the LCA when filing your H-1B.
Frequently Asked Questions
Does a Python Engineer role qualify for the STEM OPT extension?
Yes, if your degree is in a STEM-designated field such as computer science, software engineering, information technology, or mathematics, and your role involves applying that training. USCIS evaluates whether the job is directly related to your degree field, not just the job title. Roles involving data pipelines, backend systems, or machine learning models typically satisfy that connection for STEM-trained engineers.
Does my employer need to be enrolled in E-Verify to hire me on STEM OPT?
Yes. E-Verify enrollment is a strict requirement for STEM OPT. Your employer must be actively enrolled and in good standing with E-Verify on your employment start date. Ask for your employer's E-Verify company ID and confirm it directly with the E-Verify program before signing an offer. Without this, USCIS will deny your extension application regardless of your eligibility.
What goes into the I-983 training plan for a Python Engineer?
The I-983 requires a detailed training plan that maps your Python Engineering work to your STEM degree field. You'll need to list specific learning objectives, the skills you'll develop, and measurable outcomes tied to your role. For a Python Engineer, this typically means documenting how your work on APIs, automation, data processing, or software architecture applies concepts from your computer science or engineering coursework.
How does cap-gap protection work if my H-1B is selected while I'm on STEM OPT?
If your employer files an H-1B petition before your STEM OPT EAD expires and it's selected in the lottery, cap-gap protection automatically extends your work authorization through September 30 of that year. Your status remains valid even if your EAD physically expires. You can continue working as a Python Engineer during this window without a new EAD, as long as the H-1B petition remains pending or approved.
Where can I find Python Engineer jobs that are open to STEM OPT students?
Migrate Mate lists Python Engineer roles filtered by employers with active H-1B LCA filing history, which identifies companies already set up to support work authorization. Because STEM OPT requires E-Verify enrollment, targeting employers with demonstrated sponsorship history reduces the risk of accepting an offer from a company that can't actually support your status extension or future H-1B transition.