OPT Data Platform Engineer Jobs
Data Platform Engineer jobs are among the more OPT-friendly roles in tech because the work is deeply technical, degree-specific, and consistently in demand at companies that regularly sponsor H-1B visas. Most roles require a background in computer science, data engineering, or a related field, making CAP-GAP eligibility straightforward for F-1 students.
Find OPT Data Platform Engineer JobsOverview
Showing 5 of 236+ Data Platform Engineer jobs
See all 236+ Data Platform Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Platform Engineer roles.
Get Access To All JobsAbout us:
The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.
Exciting Opportunity at MSK: Product Manager I, Data Platform
At Memorial Sloan Kettering (MSK), we’re building modern data products and platforms that enable better decisions, innovation, and operational excellence. As a Product Manager I on the Data Platform team, you’ll partner across technical and business teams to build data products that support analytics, AI, applications, and enterprise reporting.
Role Overview
- Partner with users, business stakeholders, engineers, architects, and analytics teams to understand needs and translate them into clear product requirements, user stories, and acceptance criteria.
- Manage and refine the product backlog, triaging requests, organizing priorities, and helping sequence work across the data platform.
- Support the development of data products and platform capabilities, understanding upstream and downstream dependencies to help guide effective product delivery.
- Analyze product usage, adoption, performance data, and other metrics to inform priorities and product decisions.
- Help define product roadmaps, priorities, and success metrics for data platform capabilities.
- Partner closely with engineering and architecture teams to deliver scalable, secure, and reliable data solutions.
- Conduct user research, gather stakeholder feedback, and identify opportunities to improve data products and the user experience.
- Coordinate product launches, communications, documentation, training materials, and adoption activities.
- Build expertise in modern data platforms, cloud technologies, analytics, governance, AI, and emerging technologies to identify future opportunities for MSK’s data ecosystem.
Key Qualifications
- Bachelor’s degree or equivalent combination of education and experience.
- 2–4 years of experience in product management, business analysis, technology, data analytics, consulting, or a related field.
- Experience working with data platforms, data products, analytics, or data-driven technology initiatives.
- Familiarity with analytics and visualization tools such as Tableau or Power BI, modern data platforms such as Databricks, and/or cloud environments such as AWS.
- Experience gathering, documenting, and refining business or product requirements and working with technical and non-technical stakeholders.
- Experience supporting cross-functional initiatives within a complex enterprise environment. Healthcare experience is not required.
Core Skills
- Strong communication skills with the ability to clearly convey requirements, priorities, and product decisions to technical and non-technical audiences.
- Highly organized and detail-oriented, with the ability to triage requests, manage competing priorities, and follow work through to completion.
- Data-driven problem-solving skills, using analytics, metrics, and structured thinking to evaluate opportunities and inform decisions.
- Strong collaboration skills and the ability to build relationships across engineering, architecture, analytics, operations, and business teams.
- Curiosity and adaptability, with an interest in data platforms, cloud technologies, analytics, AI, and continued growth in product management and technology.
Additional Information
- Schedule: 9 am – 5 pm, M – F, 37.5 hours/week
- Location: 633 Third Ave; Hybrid; in office Wednesday and Thursday
- Reporting To: Associate Director, Product Management
Pay Range: $92,700.00 - $148,400.00
FSLA Status: Exempt
Closing:
At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.
MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
About us:
The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.
Exciting Opportunity at MSK: Product Manager I, Data Platform
At Memorial Sloan Kettering (MSK), we’re building modern data products and platforms that enable better decisions, innovation, and operational excellence. As a Product Manager I on the Data Platform team, you’ll partner across technical and business teams to build data products that support analytics, AI, applications, and enterprise reporting.
Role Overview
- Partner with users, business stakeholders, engineers, architects, and analytics teams to understand needs and translate them into clear product requirements, user stories, and acceptance criteria.
- Manage and refine the product backlog, triaging requests, organizing priorities, and helping sequence work across the data platform.
- Support the development of data products and platform capabilities, understanding upstream and downstream dependencies to help guide effective product delivery.
- Analyze product usage, adoption, performance data, and other metrics to inform priorities and product decisions.
- Help define product roadmaps, priorities, and success metrics for data platform capabilities.
- Partner closely with engineering and architecture teams to deliver scalable, secure, and reliable data solutions.
- Conduct user research, gather stakeholder feedback, and identify opportunities to improve data products and the user experience.
- Coordinate product launches, communications, documentation, training materials, and adoption activities.
- Build expertise in modern data platforms, cloud technologies, analytics, governance, AI, and emerging technologies to identify future opportunities for MSK’s data ecosystem.
Key Qualifications
- Bachelor’s degree or equivalent combination of education and experience.
- 2–4 years of experience in product management, business analysis, technology, data analytics, consulting, or a related field.
- Experience working with data platforms, data products, analytics, or data-driven technology initiatives.
- Familiarity with analytics and visualization tools such as Tableau or Power BI, modern data platforms such as Databricks, and/or cloud environments such as AWS.
- Experience gathering, documenting, and refining business or product requirements and working with technical and non-technical stakeholders.
- Experience supporting cross-functional initiatives within a complex enterprise environment. Healthcare experience is not required.
Core Skills
- Strong communication skills with the ability to clearly convey requirements, priorities, and product decisions to technical and non-technical audiences.
- Highly organized and detail-oriented, with the ability to triage requests, manage competing priorities, and follow work through to completion.
- Data-driven problem-solving skills, using analytics, metrics, and structured thinking to evaluate opportunities and inform decisions.
- Strong collaboration skills and the ability to build relationships across engineering, architecture, analytics, operations, and business teams.
- Curiosity and adaptability, with an interest in data platforms, cloud technologies, analytics, AI, and continued growth in product management and technology.
Additional Information
- Schedule: 9 am – 5 pm, M – F, 37.5 hours/week
- Location: 633 Third Ave; Hybrid; in office Wednesday and Thursday
- Reporting To: Associate Director, Product Management
Pay Range: $92,700.00 - $148,400.00
FSLA Status: Exempt
Closing:
At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.
MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
See all 236+ OPT Data Platform Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Data Platform Engineer Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as a Data Platform Engineer
Target companies with active H-1B sponsorship histories
Companies that sponsor H-1B visas regularly are your best bet for OPT extensions and long-term status. Look for employers with data engineering teams large enough to justify an immigration investment in a junior or mid-level hire.
Emphasize cloud platform expertise in your resume
Data Platform Engineers with hands-on experience in AWS, GCP, or Azure are easier for employers to justify sponsoring. Certifications in cloud platforms signal that you can contribute immediately, which lowers the perceived risk of hiring an OPT candidate.
Highlight your degree field when applying
This role qualifies as a STEM OPT extension only if your degree is in a qualifying field. Computer science, data science, and information systems degrees all qualify. Confirm your degree CIP code with your DSO before your initial OPT period ends.
Apply before your OPT start date, not after
Many hiring managers confuse OPT with sponsorship. Reaching out early gives you space to explain your authorization timeline, demonstrate your value, and address questions before they become objections. Waiting until your card arrives costs you pipeline time.
Prioritize roles at STEM-heavy tech, finance, and healthcare companies
Google, Amazon, Microsoft, JPMorgan, and large healthcare systems consistently file H-1B petitions for data engineering roles. These employers have established immigration processes, which reduces friction when the time comes to convert OPT to H-1B sponsorship.
Get specific about your tech stack in every application
Generic resumes hurt OPT candidates more than citizens because employers are already uncertain about authorization timelines. Listing Spark, Kafka, dbt, Airflow, or Snowflake by name signals seniority and makes it harder to pass on you for a visa concern.
Data Platform Engineer OPT: Frequently Asked Questions
Does Data Platform Engineer qualify for the STEM OPT extension?
Yes, if your degree is in a qualifying STEM field such as computer science, data science, electrical engineering, or information systems. The role itself falls clearly within the engineering and technology category. Confirm your specific degree's CIP code with your Designated School Official before applying for the 24-month STEM OPT extension.
How do I find Data Platform Engineer jobs that are open to OPT candidates?
Migrate Mate is built specifically for this. It filters job listings by OPT and visa sponsorship status, so you're not wasting applications on roles that won't work for your situation. Browsing by role category on Migrate Mate shows you which employers are actively hiring F-1 OPT candidates for data engineering positions.
Do I need to disclose my OPT status when applying for Data Platform Engineer roles?
You're not legally required to disclose immigration status on an application, but most employers ask about work authorization eligibility during the process. Answering honestly and proactively explaining that you have work authorization now, with STEM OPT extension eligibility, tends to build more trust than avoiding the question until late in the process.
What happens to my Data Platform Engineer job if my OPT expires before H-1B is approved?
If your employer files an H-1B petition before your OPT expires, CAP-GAP protection automatically extends your work authorization through September 30 of that fiscal year. You can continue working in your Data Platform Engineer role without interruption during that period. Your DSO will issue an updated I-20 reflecting the CAP-GAP extension.
Are Data Platform Engineer roles common at companies that sponsor H-1B visas?
Yes. Data Platform Engineering sits at the intersection of infrastructure, software engineering, and data, which makes it a difficult role to fill domestically. Companies in tech, finance, and healthcare file H-1B petitions for this role type regularly. The technical specificity of the work and the degree requirement make it a strong candidate for H-1B specialty occupation classification.