Green Card Data Platform Engineer Jobs
Data Platform Engineer roles qualify for EB-2 and EB-3 green card sponsorship through PERM labor certification, which requires your employer to document recruitment efforts before filing an I-140 petition on your behalf. Engineers with advanced degrees or specialized credentials in distributed systems, cloud infrastructure, or data pipeline architecture often qualify under EB-2.
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The Data Platform team at the TikTok USDS Joint Venture operates TikTok's US data processing ecosystem: a full suite of big data services, hundreds of thousands of batch and streaming pipelines/tasks, resource optimization, compliance and guaranteed data production. We ensure pipelines produce high-quality production data reliably and on time to meet the need of all the major TikTok businesses lines - including TikTok, Live, eCommerce, while maintaining efficient resource utilization, workload isolation, and regulatory compliance.
About the Role: As a Tech Lead Manager on the Data Platform team, you will lead a team of data engineers and software engineers, create innovative solutions to scale operations, and own the reliable on-time delivery of large-scale data assets. Your team is the business's dependable delivery partner: our happy clients count on your service to produce data that are critical for business intelligence, application operations, and customer successes across multiple data centers. You will innovate with software, automation, and AI to do more with what we have — driving self-healing pipelines, AI-assisted reliability engineering and on-call, intelligent cost and resource optimization, and automation for data development, quality checks, and governance. You will collaborate closely with the internal Data foundation team, surfacing operational needs, co-defining roadmaps, and jointly turning platform capabilities into measurable reliability, efficiency, and productivity gains for your business line.
Responsibilities:
- Lead and grow the team: Manage, coach, and develop a team of data engineers. Foster a culture of ownership, operational excellence, engineering rigor, and a builder's mindset toward automation and AI.
- Own operational delivery for your business line: Take end-to-end accountability for the reliability, timeliness, and quality of batch and streaming pipelines, jobs, and data assets serving the business needs. Own SLAs, on-call health, incident response, and postmortem-driven improvement.
- Innovate with software, automation, and AI: Build or adopt tooling for AI-assisted SRE (triage, root-cause analysis, auto-remediation), self-healing and auto-tuning pipelines, LLM-powered data development and code review, automated data quality and lineage checks, and intelligent cost optimization. Turn repeated toil into products.
- Partner with the business: Act as the primary engineering point of contact for your business line's Product, Analytics, Data Science, and Engineering partners. Translate business priorities into a concrete data delivery and reliability roadmap; communicate trade-offs, risks, and dependencies clearly.
- Collaborate with the Data Foundation team: Co-shape data platform requirements, adopt new platform capabilities, and bring foundation capabilities to your business, and bring your business's realities to the foundation.
- Uphold governance and compliance: Ensure all pipelines, datasets, and tooling under your team meet data governance, privacy, security, and regulatory requirements applicable to the US data environment.
Qualifications
Minimum Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 5+ years of experience building and operating enterprise-grade data platforms or large-scale distributed data systems, including 3+ years in an engineering leadership or engineering management role overseeing technical teams in a cross-functional, fast-paced environment.
- Hands-on experience operating production batch and streaming systems built on technologies such as Spark, Flink, Hadoop, Kafka, Druid, ClickHouse, or equivalents — including on-call ownership, SLA management, and incident response. Must have a builder mindset.
- Strong grasp of modern data architectures (data lakes, data warehouses, lakehouse patterns) and of what makes large-scale pipelines reliable, efficient, and observable.
- Demonstrated ability to improve throughput, reliability, or cost efficiency of a data system without linear headcount growth — through automation, tooling, or architectural change.
- Excellent communication, stakeholder management, and cross-functional partnership skills.
- Ability to balance strategic thinking with hands-on problem-solving.
Preferred Qualifications
- Experience applying AI/LLM technologies to data operations — for example, AI-assisted SRE and observability, LLM-powered data development or code review, automated governance and cataloging, or intelligent cost optimization.
- Track record leading a business-embedded data engineering team that partners with Product, Analytics, and Data Science on a specific business line (e.g., e-commerce, live streaming, consumer social).
- Familiarity with data compliance and privacy requirements in a regulated environment (e.g., US data sovereignty, PII handling).
About USDS
TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.
On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
USDS Reasonable Accommodation
USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA
Job Information
【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $208800 - $438000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
Responsibilities
The Data Platform team at the TikTok USDS Joint Venture operates TikTok's US data processing ecosystem: a full suite of big data services, hundreds of thousands of batch and streaming pipelines/tasks, resource optimization, compliance and guaranteed data production. We ensure pipelines produce high-quality production data reliably and on time to meet the need of all the major TikTok businesses lines - including TikTok, Live, eCommerce, while maintaining efficient resource utilization, workload isolation, and regulatory compliance.
About the Role: As a Tech Lead Manager on the Data Platform team, you will lead a team of data engineers and software engineers, create innovative solutions to scale operations, and own the reliable on-time delivery of large-scale data assets. Your team is the business's dependable delivery partner: our happy clients count on your service to produce data that are critical for business intelligence, application operations, and customer successes across multiple data centers. You will innovate with software, automation, and AI to do more with what we have — driving self-healing pipelines, AI-assisted reliability engineering and on-call, intelligent cost and resource optimization, and automation for data development, quality checks, and governance. You will collaborate closely with the internal Data foundation team, surfacing operational needs, co-defining roadmaps, and jointly turning platform capabilities into measurable reliability, efficiency, and productivity gains for your business line.
Responsibilities:
- Lead and grow the team: Manage, coach, and develop a team of data engineers. Foster a culture of ownership, operational excellence, engineering rigor, and a builder's mindset toward automation and AI.
- Own operational delivery for your business line: Take end-to-end accountability for the reliability, timeliness, and quality of batch and streaming pipelines, jobs, and data assets serving the business needs. Own SLAs, on-call health, incident response, and postmortem-driven improvement.
- Innovate with software, automation, and AI: Build or adopt tooling for AI-assisted SRE (triage, root-cause analysis, auto-remediation), self-healing and auto-tuning pipelines, LLM-powered data development and code review, automated data quality and lineage checks, and intelligent cost optimization. Turn repeated toil into products.
- Partner with the business: Act as the primary engineering point of contact for your business line's Product, Analytics, Data Science, and Engineering partners. Translate business priorities into a concrete data delivery and reliability roadmap; communicate trade-offs, risks, and dependencies clearly.
- Collaborate with the Data Foundation team: Co-shape data platform requirements, adopt new platform capabilities, and bring foundation capabilities to your business, and bring your business's realities to the foundation.
- Uphold governance and compliance: Ensure all pipelines, datasets, and tooling under your team meet data governance, privacy, security, and regulatory requirements applicable to the US data environment.
Qualifications
Minimum Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 5+ years of experience building and operating enterprise-grade data platforms or large-scale distributed data systems, including 3+ years in an engineering leadership or engineering management role overseeing technical teams in a cross-functional, fast-paced environment.
- Hands-on experience operating production batch and streaming systems built on technologies such as Spark, Flink, Hadoop, Kafka, Druid, ClickHouse, or equivalents — including on-call ownership, SLA management, and incident response. Must have a builder mindset.
- Strong grasp of modern data architectures (data lakes, data warehouses, lakehouse patterns) and of what makes large-scale pipelines reliable, efficient, and observable.
- Demonstrated ability to improve throughput, reliability, or cost efficiency of a data system without linear headcount growth — through automation, tooling, or architectural change.
- Excellent communication, stakeholder management, and cross-functional partnership skills.
- Ability to balance strategic thinking with hands-on problem-solving.
Preferred Qualifications
- Experience applying AI/LLM technologies to data operations — for example, AI-assisted SRE and observability, LLM-powered data development or code review, automated governance and cataloging, or intelligent cost optimization.
- Track record leading a business-embedded data engineering team that partners with Product, Analytics, and Data Science on a specific business line (e.g., e-commerce, live streaming, consumer social).
- Familiarity with data compliance and privacy requirements in a regulated environment (e.g., US data sovereignty, PII handling).
About USDS
TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.
On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
USDS Reasonable Accommodation
USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA
Job Information
【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $208800 - $438000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
See all 1,007+ Green Card Data Platform Engineer Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Data Platform Engineer
Align your credentials to EB-2 requirements
A master's degree in computer science, data engineering, or a related field supports EB-2 classification. If you hold a bachelor's plus five or more years of progressive data platform experience, document each role's scope and technical depth carefully for PERM review.
Target employers with active PERM filing history
Search the OFLC Wage Search to identify companies that have filed PERM applications for data engineering roles. Employers with repeated filings have established internal workflows for sponsorship, which reduces delays caused by first-time process uncertainty.
Find green card sponsors faster using Migrate Mate
Use Migrate Mate to filter Data Platform Engineer roles by employers with green card sponsorship history. You'll see which companies have sponsored similar roles, cutting the research time you'd otherwise spend cross-referencing OFLC disclosure data manually.
Verify your SOC code before the PERM audit
PERM applications for data platform roles typically file under SOC 15-1243 or 15-1252. Check your job description against the O*NET occupation profile for the relevant code so your duties, degree requirement, and wage level align before DOL reviews the application.
Ask about prevailing wage level during offer negotiation
Your employer must pay at least the DOL-certified prevailing wage for your geographic location and SOC code. Request the wage level determination during offer discussions, since a Level I or II determination can affect your total compensation relative to the local market rate.
Sequence your I-485 filing around priority date availability
Once your I-140 is approved, your ability to file for adjustment of status depends on your country of birth and the published priority date. Most Data Platform Engineers born outside India or China can file I-485 concurrently with I-140 under current USCIS visa bulletin guidance.
Green Card Data Platform Engineer: Frequently Asked Questions
Does a Data Platform Engineer role typically qualify for EB-2 or EB-3 sponsorship?
Most Data Platform Engineer positions qualify for EB-2 if the employer requires a master's degree or equivalent, or EB-3 if the minimum requirement is a bachelor's degree. The classification depends on how the employer defines the position's minimum requirements in the PERM application, not solely on your personal credentials. If you hold an advanced degree but the employer only requires a bachelor's, the filing may default to EB-3.
How does green card sponsorship differ from H-1B sponsorship for this role?
H-1B visa is a temporary nonimmigrant status capped at 85,000 new visas annually with a lottery for most applicants. PERM-based green card sponsorship leads to permanent residency and carries no annual cap at the petition stage. The tradeoff is timeline: PERM labor certification alone can take six to twelve months before the I-140 is even filed, making green card sponsorship a longer but more permanent outcome than an H-1B approval.
How can I find Data Platform Engineer jobs that include green card sponsorship?
Migrate Mate lets you search Data Platform Engineer roles filtered by employers with verified green card sponsorship history, so you're not relying on job descriptions that vaguely mention 'visa sponsorship available.' Employers who have completed PERM filings for similar roles in the past are far more likely to have internal HR processes and legal counsel already in place for your case.
What does the PERM labor certification process require from my employer?
PERM requires your employer to conduct a DOL-supervised recruitment process to demonstrate that no qualified U.S. worker is available for the role. This includes posting the position, collecting and reviewing applications, and documenting why any U.S. applicants were not selected. The employer then files Form 9089 with DOL. The process typically takes three to eight months before DOL issues a certification decision.
Can I change jobs after my employer files my green card petition?
Yes, with important conditions. Under AC21 portability rules, if your I-485 adjustment of status application has been pending for 180 days or more and your I-140 is approved, you can change to a same or similar occupational classification without losing your priority date. Data platform and data engineering roles generally share SOC classifications, which can support portability claims, but you should verify your specific situation with a qualified immigration attorney.