OPT AI Data Engineer Jobs
AI Data Engineer jobs are among the most OPT-friendly roles in tech. Most require a degree in computer science, data engineering, or a related field, and the work directly matches STEM OPT extension criteria, giving you up to three years of authorized work experience to build toward long-term sponsorship.
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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 687+ OPT AI Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT AI Data Engineer Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as an AI Data Engineer
Target companies with active H-1B filing history
Employers who have sponsored H-1B visas before are far more likely to sponsor yours. Search OFLC disclosure data to verify whether a company has filed for data engineering roles specifically, not just tech roles in general.
Lead with your STEM OPT timeline in outreach
Hiring managers often assume international candidates need sponsorship immediately. Clarifying upfront that you have up to three years of work authorization under STEM OPT removes the biggest objection before it becomes a reason to pass.
Align your skills with the employer's data stack
Fluency in Spark, Airflow, dbt, or cloud platforms like AWS and GCP signals readiness to contribute fast. Employers weigh sponsorship cost against ramp-up time, so demonstrating immediate impact strengthens your case considerably.
Pursue roles where your degree field matches the job directly
H-1B specialty occupation approval depends on a clear connection between your degree and the role. A data engineering position paired with a computer science or information systems degree is among the strongest combinations for petition approval.
Ask about sponsorship policy at the offer stage, not the application stage
Raising sponsorship too early filters you out before you've demonstrated value. Get through the technical interviews first, then ask whether the company has sponsored international hires in data engineering or similar roles before.
Build a portfolio that shows production-level work, not just coursework
Data engineering portfolios should include pipeline architecture, schema design decisions, and performance tradeoffs, not just completed projects. Employers sponsoring visas want evidence you can own infrastructure, not just build assignments under supervision.
AI Data Engineer OPT: Frequently Asked Questions
Does an AI Data Engineer role qualify for the STEM OPT extension?
Yes, AI Data Engineer roles almost always qualify for the 24-month STEM OPT extension, provided your degree is in an eligible STEM field such as computer science, data science, information systems, or electrical engineering. Your employer must also be enrolled in E-Verify, which most mid-size and large tech companies already are. The extension gives you up to three years of total OPT work authorization.
What types of employers are most likely to sponsor an AI Data Engineer for an H-1B?
Technology companies, financial services firms, and large enterprises with dedicated data platforms teams are the most consistent sponsors for data engineering roles. Companies building AI infrastructure at scale, such as those in cloud services, fintech, and health tech, regularly file H-1B petitions for this role. Migrate Mate filters job listings by sponsorship willingness, so you can focus on employers with a real track record rather than guessing.
Can I work as an AI Data Engineer for a startup on OPT?
Yes, but startups carry more risk for OPT students than established employers. If a startup is not enrolled in E-Verify, you cannot use your STEM OPT extension there. Startups also have a lower rate of H-1B sponsorship due to cost and legal overhead. If you pursue a startup role, confirm E-Verify enrollment before accepting and ask directly about their history sponsoring international employees.
How does the 90-day unemployment limit affect AI Data Engineers on OPT?
During your standard OPT period, you cannot accumulate more than 90 days of unemployment. During your STEM OPT extension, that limit increases to 150 cumulative days. For AI Data Engineers, this matters most during job transitions. If you leave one role without another lined up, the clock starts immediately. Keeping your job search active and targeted from the beginning of your OPT period reduces this risk substantially.
What should I look for in an AI Data Engineer job listing to assess sponsorship likelihood?
Look for explicit mentions of visa sponsorship availability, E-Verify enrollment, and whether the company has filed LCAs or H-1B petitions in data engineering or related titles previously. Job listings that specify 'must be authorized to work without sponsorship' are a hard no. Beyond the listing itself, checking a company's public OFLC disclosure filings gives you objective evidence of their actual sponsorship history before you invest time in the application process.