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.
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Intuit Global Business Solutions Group Data Science team has an exciting opportunity to be part of the fast-growing GBSG Science team that plays a critical role in driving growth in GBSG with a long-term winning strategy.
The GBSG Data Science team is responsible for (1) providing valuable insights that supports the development of E2E strategy, operational plans and product roadmaps; (2) providing data/tools/actionable insights/experimentation for the execution of multiple GBSG priorities across our function domains (Product, Marketing, Sales, Customer Success, Finance), developing/managing the success KPIs and reporting as the single source of the truth for how the GBSG is doing; (3) Develop advanced Data Science capabilities such as product recommendation and lead scoring models.
We are looking for a Senior Staff Data Scientist, who is intellectually curious and extremely self-driven, with a proven track record of leading data science support for critical or high-growth business areas. The ideal candidate will also have a passion for operationalizing data-driven insights into action through influencing the velocity and quality of learnings, while demonstrating a problem-solving and extreme ownership mindset.
Responsibilities
- Influence strategic business decisions and operational decisions by conducting customer segmentation and profiling, product analytics, sales funnel analysis, sales win/loss analysis, voice of customer analysis, etc.
- Develop and manage key success metrics and leading indicators for providing holistic understanding of how the business is performing and whether each initiative/program is delivering the desired outcomes.
- Proactively explore and identify new business opportunities to help business partners to achieve business goals.
- Communicate data and insights effectively to business partners of all levels including the senior leadership team.
- Develop ML models and LLM applications to address business problems.
- Collaborate with data scientists and data engineers across different analytics teams to work on cross-functional projects or develop analytics capabilities.
- Coach and develop junior data scientists on the team.
Qualifications
- 10+ years of experience working in web, product, customer/care, strategy, sales, marketing, CRM or other related analytics fields. Experience in B2B industry is a plus.
- Highly proficient in SQL, Python and data visualization tools such as Tableau.
- Multiple years of experience in applying advanced analytics techniques such as python, ML models, LLMs, etc., is highly preferred.
- Ability to create analytical frameworks for solving complex business problems with a proven track record.
- Ability to manage multiple projects simultaneously to meet objectives.
- Outstanding communications skills with both technical and non-technical. Be able to communicate effectively with senior executives.
- Minimum Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Mountain View $210,500 - $284,500
Overview
Intuit Global Business Solutions Group Data Science team has an exciting opportunity to be part of the fast-growing GBSG Science team that plays a critical role in driving growth in GBSG with a long-term winning strategy.
The GBSG Data Science team is responsible for (1) providing valuable insights that supports the development of E2E strategy, operational plans and product roadmaps; (2) providing data/tools/actionable insights/experimentation for the execution of multiple GBSG priorities across our function domains (Product, Marketing, Sales, Customer Success, Finance), developing/managing the success KPIs and reporting as the single source of the truth for how the GBSG is doing; (3) Develop advanced Data Science capabilities such as product recommendation and lead scoring models.
We are looking for a Senior Staff Data Scientist, who is intellectually curious and extremely self-driven, with a proven track record of leading data science support for critical or high-growth business areas. The ideal candidate will also have a passion for operationalizing data-driven insights into action through influencing the velocity and quality of learnings, while demonstrating a problem-solving and extreme ownership mindset.
Responsibilities
- Influence strategic business decisions and operational decisions by conducting customer segmentation and profiling, product analytics, sales funnel analysis, sales win/loss analysis, voice of customer analysis, etc.
- Develop and manage key success metrics and leading indicators for providing holistic understanding of how the business is performing and whether each initiative/program is delivering the desired outcomes.
- Proactively explore and identify new business opportunities to help business partners to achieve business goals.
- Communicate data and insights effectively to business partners of all levels including the senior leadership team.
- Develop ML models and LLM applications to address business problems.
- Collaborate with data scientists and data engineers across different analytics teams to work on cross-functional projects or develop analytics capabilities.
- Coach and develop junior data scientists on the team.
Qualifications
- 10+ years of experience working in web, product, customer/care, strategy, sales, marketing, CRM or other related analytics fields. Experience in B2B industry is a plus.
- Highly proficient in SQL, Python and data visualization tools such as Tableau.
- Multiple years of experience in applying advanced analytics techniques such as python, ML models, LLMs, etc., is highly preferred.
- Ability to create analytical frameworks for solving complex business problems with a proven track record.
- Ability to manage multiple projects simultaneously to meet objectives.
- Outstanding communications skills with both technical and non-technical. Be able to communicate effectively with senior executives.
- Minimum Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Mountain View $210,500 - $284,500
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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.