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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Get Access To All JobsHinge is the dating app designed to be deleted
In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.
About the Role
As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and maintaining Hinge’s data infrastructure, while playing a critical role in selecting and implementing technology that will help Hinge to make data-driven decisions, build a best-in-class product, reporting & analytics, and enable ML/AI use cases.
You will work cross-functionally with multiple engineering teams, providing leadership and advice while serving as a crucial partner to various teams and stakeholders, including Business Intelligence, Product Data Engineering, Data Science, MLE & AI, and more.
You will be making a real impact on the data platform team and will be key to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of tons of people.
Responsibilities:
- Design, develop, and maintain core services within Hinge’s data platform.
- Build and maintain our lakehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives.
- Responsible for maintaining and enhancing data pipelines and database management frameworks, which include tasks such as automation, monitoring, alerting, governance, and cost optimization.
- Work on observability systems that enables holistic system and data quality monitoring.
- Solicit and incorporate internal user feedback to ensure productivity tooling meets the needs of our developers.
- Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers.
- Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines.
- Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations.
What We're Looking For:
- 4+ years of professional/industry experience.
- Experience in building, automating, and enhancing tools and frameworks for the data platform to streamline pipeline development.
- Experience modeling data sets for different types of sources and business processes.
- Strong communication skills (written/verbal).
- Exposure to ML Ops or other data engineering workloads.
- Effective analytical, troubleshooting, and problem-solving skills.
- A degree in computer science, engineering, or a related field.
Experience with the following technologies:
- Programming: Python, Go, Scala, Java
- Cloud platform: The ability to utilize cloud environments such as GCP, AWS, or Azure.
- DevOps tooling: Kubernetes, Docker, Terraform, CircleCi, GitHub Actions
- Streaming: Kafka, PubSub, Dataflow
- Databases and Big Data Tooling: Redshift, BigQuery, Databricks, dbt
- BI platform: Looker
Compensation:
- Salary Range: $186,000 - $223,000 a year
Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
As a member of our team, you’ll enjoy:
- 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.
- Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.
- Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)
- Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible.
- Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.
- ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community.
At Hinge, our core values are…
- Authenticity: We share, never hide, our words, actions and intentions.
- Courage: We embrace lofty goals and tough challenges.
- Empathy: We deeply consider the perspective of others.
- Diversity inspires innovation
Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know.
Hinge is the dating app designed to be deleted
In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.
About the Role
As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and maintaining Hinge’s data infrastructure, while playing a critical role in selecting and implementing technology that will help Hinge to make data-driven decisions, build a best-in-class product, reporting & analytics, and enable ML/AI use cases.
You will work cross-functionally with multiple engineering teams, providing leadership and advice while serving as a crucial partner to various teams and stakeholders, including Business Intelligence, Product Data Engineering, Data Science, MLE & AI, and more.
You will be making a real impact on the data platform team and will be key to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of tons of people.
Responsibilities:
- Design, develop, and maintain core services within Hinge’s data platform.
- Build and maintain our lakehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives.
- Responsible for maintaining and enhancing data pipelines and database management frameworks, which include tasks such as automation, monitoring, alerting, governance, and cost optimization.
- Work on observability systems that enables holistic system and data quality monitoring.
- Solicit and incorporate internal user feedback to ensure productivity tooling meets the needs of our developers.
- Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers.
- Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines.
- Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations.
What We're Looking For:
- 4+ years of professional/industry experience.
- Experience in building, automating, and enhancing tools and frameworks for the data platform to streamline pipeline development.
- Experience modeling data sets for different types of sources and business processes.
- Strong communication skills (written/verbal).
- Exposure to ML Ops or other data engineering workloads.
- Effective analytical, troubleshooting, and problem-solving skills.
- A degree in computer science, engineering, or a related field.
Experience with the following technologies:
- Programming: Python, Go, Scala, Java
- Cloud platform: The ability to utilize cloud environments such as GCP, AWS, or Azure.
- DevOps tooling: Kubernetes, Docker, Terraform, CircleCi, GitHub Actions
- Streaming: Kafka, PubSub, Dataflow
- Databases and Big Data Tooling: Redshift, BigQuery, Databricks, dbt
- BI platform: Looker
Compensation:
- Salary Range: $186,000 - $223,000 a year
Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
As a member of our team, you’ll enjoy:
- 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.
- Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.
- Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)
- Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible.
- Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.
- ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community.
At Hinge, our core values are…
- Authenticity: We share, never hide, our words, actions and intentions.
- Courage: We embrace lofty goals and tough challenges.
- Empathy: We deeply consider the perspective of others.
- Diversity inspires innovation
Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know.
See all 84+ 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.