Green Card Senior Staff Data Engineer Jobs
Senior Staff Data Engineer roles qualify for EB-2 and EB-3 green card sponsorship through PERM labor certification, where your employer documents that no qualified U.S. worker is available for the position. Staff-level data engineering seniority strengthens the advanced-degree professional case under EB-2, while EB-3 covers skilled professionals with bachelor's degrees.
Find Green Card Senior Staff Data Engineer JobsOverview
Showing 5 of 1,111+ Senior Staff Data Engineer jobs
See all 1,111+ Senior Staff Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Staff Data Engineer roles.
Get Access To All JobsAbout Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
Note: This is a remote role open to candidates located in Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Wisconsin.
About this role
Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance.
This role is for a highly experienced technical leader in the data space, whose influence spans multiple Platform and Product groups.
Within the Platform group:
- The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance.
- The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from data to insights.
The teams also own relationships with relevant technology infrastructure vendors.
Additionally, this role would influence and interact with all data and analytics related functions at Faire. The product analytics engineering (PAE) function enables domain-specific AE capabilities, working closely with Data Science, Strategy & Analytics, Finance. The data science (DS) function leads modeling development and evaluation, raising effectiveness and efficiency of key product features.
We're looking for: An experienced technical leader with data and analytics background to work alongside and lead/influence across multiple teams and departments. Define technology strategy, roadmaps, architecture patterns and guidance. Striking the right balance of technical leadership and hands-on development.
- Plan and execute on technology projects that scale with Faire's growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting.
- Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
- Provide technical guidance and mentorship on the most difficult open-ended problems we face. Including cost-efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.
Qualifications
- Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale.
- Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows.
- Strong SQL and Python skills and experience.
- Data warehousing experience at Petabyte scale.
- Snowflake, Airflow, Spark experience especially valuable.
- Understanding of performance, capacity, cost trade-offs in data processing systems. Experience in guiding technical and product teams on such trade-offs.
- Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization.
- Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self-serve model.
- Excellent communication, leadership, and influencing skills.
- A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.
- Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin.
Salary Range
California & New York: the pay range for this role is $276,000 to $379,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
This job posting is for an existing vacancy.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you'll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form.
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice.
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
Note: This is a remote role open to candidates located in Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Wisconsin.
About this role
Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance.
This role is for a highly experienced technical leader in the data space, whose influence spans multiple Platform and Product groups.
Within the Platform group:
- The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance.
- The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from data to insights.
The teams also own relationships with relevant technology infrastructure vendors.
Additionally, this role would influence and interact with all data and analytics related functions at Faire. The product analytics engineering (PAE) function enables domain-specific AE capabilities, working closely with Data Science, Strategy & Analytics, Finance. The data science (DS) function leads modeling development and evaluation, raising effectiveness and efficiency of key product features.
We're looking for: An experienced technical leader with data and analytics background to work alongside and lead/influence across multiple teams and departments. Define technology strategy, roadmaps, architecture patterns and guidance. Striking the right balance of technical leadership and hands-on development.
- Plan and execute on technology projects that scale with Faire's growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting.
- Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
- Provide technical guidance and mentorship on the most difficult open-ended problems we face. Including cost-efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.
Qualifications
- Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale.
- Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows.
- Strong SQL and Python skills and experience.
- Data warehousing experience at Petabyte scale.
- Snowflake, Airflow, Spark experience especially valuable.
- Understanding of performance, capacity, cost trade-offs in data processing systems. Experience in guiding technical and product teams on such trade-offs.
- Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization.
- Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self-serve model.
- Excellent communication, leadership, and influencing skills.
- A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.
- Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin.
Salary Range
California & New York: the pay range for this role is $276,000 to $379,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
This job posting is for an existing vacancy.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you'll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form.
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice.
See all 1,111+ Green Card Senior Staff Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Senior Staff Data Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Senior Staff Data Engineer
Document your technical specialization before applying
PERM audits for senior data engineering roles often scrutinize whether the job duties genuinely require specialized skills. Catalog your experience with specific data platforms, pipeline architectures, and distributed systems so your employer can accurately draft the job description.
Target employers with active PERM filing history
Use the OFLC Wage Search to check whether potential employers have filed PERM applications for data engineering roles. Employers who have navigated the process before move faster and make fewer documentation errors that delay your case.
Verify your degree equivalency meets EB-2 standards
EB-2 requires an advanced degree or a bachelor's degree plus five years of progressive experience. If your credentials come from outside the U.S., get a credential evaluation early so your employer's attorney can confirm the EB-2 pathway before PERM is filed.
Search for green card sponsoring jobs on Migrate Mate
Filter by Senior Staff Data Engineer roles where employers have PERM and I-140 filing history. Migrate Mate surfaces that sponsorship data directly, so you're not asking about green card willingness cold in your first interview.
Negotiate PERM timing into your offer discussion
Ask the hiring manager whether PERM filing can begin within your first year of employment. Some companies batch filings annually, which can add months to your wait. Getting a written commitment on timing protects you before you resign from your current status.
Understand how your priority date affects concurrent filing
Once your employer files the I-140, USCIS may allow you to concurrently file I-485 adjustment of status if a visa number is immediately available for your country and preference category. For EB-2 candidates from non-backlogged countries, this can cut the overall timeline significantly.
Green Card Senior Staff Data Engineer: Frequently Asked Questions
Does a Senior Staff Data Engineer role qualify for EB-2 or EB-3 sponsorship?
Most Senior Staff Data Engineer positions qualify for EB-2 because they require at minimum a bachelor's degree in computer science, engineering, or a related field, and typically involve specialized expertise that supports an advanced-degree professional classification. If your employer structures the role at a lower technical threshold, EB-3 remains available. The job description drafted for PERM is what determines which category fits.
How does PERM green card sponsorship differ from H-1B sponsorship for this role?
H-1B visa is a temporary nonimmigrant status capped at 85,000 slots annually with a lottery for most applicants. PERM-based green card sponsorship has no annual cap at the petition level and leads to permanent residency rather than a renewable work authorization period. The PERM process is longer upfront, typically 12 to 24 months before the I-140 stage, but there's no lottery risk and the outcome is permanent status rather than a visa requiring renewal.
What does the PERM recruitment process look like for a senior-level data engineering role?
Your employer must conduct a DOL-prescribed recruitment campaign, including job postings, newspaper ads, and internal notice, to demonstrate no qualified U.S. worker is available at the offered wage. For a Senior Staff Data Engineer, the job requirements in those postings must match what you actually do, because PERM audits frequently flag inflated or overly narrow duties. The recruitment window runs 30 to 180 days before the PERM application is submitted.
How can I find Senior Staff Data Engineer jobs where employers are willing to sponsor a green card?
Search on Migrate Mate, which filters roles by employers with documented PERM and I-140 filing history for data engineering positions. This lets you focus outreach on companies that have already navigated the sponsorship process rather than approaching employers cold. Asking about green card sponsorship without that data often screens you out before you reach a hiring manager.
Can I switch jobs after my employer files the I-140 for a Senior Staff Data Engineer role?
Once your I-140 has been approved and you've held that approval for 180 days, portability rules under AC21 let you change to a new job in the same or a similar occupational classification without losing your priority date. A Senior Staff Data Engineer moving to another data engineering role at the same or higher seniority typically qualifies. USCIS evaluates the similarity of duties and required skills, not the exact job title.