STEM OPT Data Platform Engineer Jobs
Data Platform Engineer roles in cloud infrastructure, data pipeline design, and distributed systems fall squarely within STEM OPT eligibility. Your STEM degree qualifies you for the 24-month extension beyond initial OPT, giving you up to 36 months total, provided your employer is enrolled in E-Verify and your role is directly tied to your degree field.
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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 66+ STEM OPT Data Platform Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Data Platform Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Platform Engineer
Verify your CIP code maps correctly
Your STEM OPT eligibility depends on your degree's Classification of Instructional Programs code matching a DHS-approved STEM field. Computer science, electrical engineering, and information systems codes all support Data Platform Engineer roles, but applied mathematics or statistics degrees require your DSO to confirm the mapping before you file.
Check E-Verify enrollment before applying
Any employer who hires you on STEM OPT must be enrolled in E-Verify, not just willing to enroll. Search the E-Verify employer search tool by company name before your first interview so you're not discovering the gap after an offer is on the table.
Target companies with active LCA filings for data roles
Employers who have filed Labor Condition Applications through DOL for data engineering or cloud infrastructure positions already understand prevailing wage obligations and STEM work authorization logistics. Filtering by recent LCA activity for relevant SOC codes narrows your list to employers who've done this before.
Use Migrate Mate to find verified STEM OPT employers
Search Migrate Mate to find Data Platform Engineer roles at employers already screened for E-Verify enrollment. This saves you from applying to companies that can't legally hire you on OPT and focuses your effort on employers set up to support your training plan and extension filing.
Draft your I-983 training plan before the offer stage
USCIS requires a completed Form I-983 training plan signed by both you and your employer before your STEM OPT extension begins. Have a draft ready that maps your data platform responsibilities to your specific degree competencies so your employer can review and sign without delays holding up your start date.
Align your job title and duties with your degree on the I-983
USCIS scrutinizes whether your day-to-day work directly relates to your STEM field. For data platform roles, document specific technical responsibilities like pipeline architecture, query optimization, or distributed system design rather than generic descriptions. Vague job duties on the I-983 are a common reason extensions get flagged.
Frequently Asked Questions
Does a Data Platform Engineer role qualify for STEM OPT?
Yes, Data Platform Engineer positions typically qualify because they require applied knowledge in computer science, information systems, or electrical engineering, all of which are DHS-approved STEM fields. Your degree's CIP code must appear on the DHS STEM Designated Degree Program List, and your actual job duties must directly relate to that field. Your DSO confirms eligibility when recommending the extension on your I-20.
What E-Verify requirement applies to my STEM OPT employer?
Your employer must be actively enrolled in E-Verify at the time you begin working on the STEM OPT extension. Enrollment alone is not enough if the specific site or hiring entity within a larger company isn't covered. Confirm enrollment status directly with HR before accepting an offer, and verify that the entity listed on your I-983 matches the enrolled E-Verify employer.
What goes into the I-983 training plan for a data engineering role?
The I-983 requires a detailed description of how your Data Platform Engineer responsibilities connect to your STEM degree. You'll document specific learning objectives, mentorship arrangements, and performance evaluation criteria. For this role, that typically includes skills in distributed data systems, ETL pipeline design, or cloud infrastructure. Both you and your supervisor must sign, and USCIS can audit the plan at any time during your extension.
How does cap-gap affect my STEM OPT timeline if I get H-1B selected?
If you file an H-1B visa petition before your OPT EAD expires and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30 of that year. Your STEM OPT extension doesn't restart the cap-gap clock, but if your STEM OPT is still valid when the H-1B petition is filed, your authorized stay extends until the H-1B start date. Keep your EAD expiration date and petition receipt notice organized carefully.
Where can I find Data Platform Engineer jobs at E-Verify employers?
Migrate Mate lists Data Platform Engineer roles filtered for employers enrolled in E-Verify, which removes the guesswork of checking enrollment separately for each company. You can search by role type and see which employers have existing LCA filing history for data engineering positions, giving you a clearer picture of which companies already have infrastructure in place to support STEM OPT hires.