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.
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We are seeking a Platform Builder—a Data Engineer focused on developing platforms and scalable data solutions—with strong technical, analytical, communication, and stakeholder management skills. This role sits at the intersection of data engineering, business intelligence, and platform engineering—requiring partnership with software development engineers, scientists, data analysts, and business stakeholders across subscriptions and monitoring services. You will design, implement, and maintain platform features and curated datasets that power subscription lifecycle analytics, monitoring services performance, and self-service reporting, helping us deliver reliable subscriber experiences at greater velocity.
This role requires a thoughtful, fundamentals-driven approach to building robust, observable data infrastructure—from designing efficient pipelines and event-driven architectures, to leveraging automation (including AI-assisted tooling) to optimize code and workflows, to creating platforms that surface actionable insights on business health and service reliability. You will build scalable infrastructure, automate repetitive processes, and create systems that continuously enhance data quality, discoverability, and usability across our subscription and monitoring ecosystem.
Key job responsibilities
You will build and maintain efficient, scalable, and privacy/security-compliant data pipelines, curated datasets for AI/ML consumption, and AI-native self-service data platforms. As a trusted technical partner to business stakeholders and data science teams, you'll deliver well-modeled, easily discoverable data optimized for specific use cases while leveraging agentic frameworks to build continuously improving systems.
A day in the life
- Partner with stakeholders across Subscription, Finance, and Monitoring Service teams to gather requirements and deliver data solutions
- Build and maintain curated datasets supporting agentic analysis of customer lifecycles, churn signals, and service health metrics
- Develop and operate data pipelines using AWS services and internal Amazon tools, incorporating automation to improve efficiency
- Contribute to self-service data platforms that enable stakeholders to access and to explore subscription and monitoring data
- Implement data governance components including data classification, PII detection, and lineage tracking
- Support working sessions that help stakeholders understand and adopt data capabilities collaboratively
About the team
The Agent Platform Organization is at the forefront of Ring's transformation into an AI-powered organization. We address cross-organizational data models, develop governance frameworks, provide direct Business Intelligence support across multiple teams, and build customer-facing and internal tools that fundamentally improve how effectively and quickly the organization makes decisions.
BASIC QUALIFICATIONS
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience developing, deploying and managing AI products at scale
PREFERRED QUALIFICATIONS
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools
- Knowledge of AWS Infrastructure
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, Hawthorne - 101,300.00 - 160,000.00 USD annually
DESCRIPTION
We are seeking a Platform Builder—a Data Engineer focused on developing platforms and scalable data solutions—with strong technical, analytical, communication, and stakeholder management skills. This role sits at the intersection of data engineering, business intelligence, and platform engineering—requiring partnership with software development engineers, scientists, data analysts, and business stakeholders across subscriptions and monitoring services. You will design, implement, and maintain platform features and curated datasets that power subscription lifecycle analytics, monitoring services performance, and self-service reporting, helping us deliver reliable subscriber experiences at greater velocity.
This role requires a thoughtful, fundamentals-driven approach to building robust, observable data infrastructure—from designing efficient pipelines and event-driven architectures, to leveraging automation (including AI-assisted tooling) to optimize code and workflows, to creating platforms that surface actionable insights on business health and service reliability. You will build scalable infrastructure, automate repetitive processes, and create systems that continuously enhance data quality, discoverability, and usability across our subscription and monitoring ecosystem.
Key job responsibilities
You will build and maintain efficient, scalable, and privacy/security-compliant data pipelines, curated datasets for AI/ML consumption, and AI-native self-service data platforms. As a trusted technical partner to business stakeholders and data science teams, you'll deliver well-modeled, easily discoverable data optimized for specific use cases while leveraging agentic frameworks to build continuously improving systems.
A day in the life
- Partner with stakeholders across Subscription, Finance, and Monitoring Service teams to gather requirements and deliver data solutions
- Build and maintain curated datasets supporting agentic analysis of customer lifecycles, churn signals, and service health metrics
- Develop and operate data pipelines using AWS services and internal Amazon tools, incorporating automation to improve efficiency
- Contribute to self-service data platforms that enable stakeholders to access and to explore subscription and monitoring data
- Implement data governance components including data classification, PII detection, and lineage tracking
- Support working sessions that help stakeholders understand and adopt data capabilities collaboratively
About the team
The Agent Platform Organization is at the forefront of Ring's transformation into an AI-powered organization. We address cross-organizational data models, develop governance frameworks, provide direct Business Intelligence support across multiple teams, and build customer-facing and internal tools that fundamentally improve how effectively and quickly the organization makes decisions.
BASIC QUALIFICATIONS
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience developing, deploying and managing AI products at scale
PREFERRED QUALIFICATIONS
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools
- Knowledge of AWS Infrastructure
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, Hawthorne - 101,300.00 - 160,000.00 USD annually
See all 260+ OPT Data Platform Engineer Jobs
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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.