E-3 Visa Data Contributor Jobs
Data Contributor roles in the U.S. qualify for E-3 visa sponsorship when the position requires a bachelor's degree in a relevant field such as data science, statistics, or information systems. The E-3 has no lottery and no annual cap, making it a reliable path for Australian data professionals targeting U.S. employers.
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Company Description
It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.
We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.
The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.
If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.
Job Description
Primary Function of Position
The Operations Data Scientist plays a critical role in transforming how manufacturing teams see and understand their operations by building and operating data pipelines, models, and visualizations that deliver real‑time line visibility to manufacturing performance and associated key performance indicators (KPIs). This role partners with Manufacturing Engineering, Automation Equipment and Test (AET) Engineering, Operations, Industrial Engineering, Quality, and IT/Data teams to architect reliable data flows from MES/ERP and equipment sources, transform raw signals into trusted semantic models, and surface insights via dashboards and alerts that drive business efficiencies and support continuous improvement (throughput, yield, cost, rework, OEE).
The ideal candidate thrives at the intersection of data engineering and operations. They enjoy understanding how complex manufacturing systems work, uncovering hidden patterns in data, and turning raw information into intuitive analytics that drive action on the floor. This role is perfect for someone who is energized by solving meaningful problems, partnering closely with cross‑functional teams, and owning the full lifecycle of data—from source to insight.
Essential Job Duties
- Develop, maintain, and enhance data pipelines that power manufacturing operations with high reliability and performance, balancing latency, reliability, and cost
- Build new integrations to close data gaps, ensuring end‑to‑end visibility across production lines, equipment, and MES/ERP systems
- Build dynamic, user‑friendly dashboards that provide clear, actionable insights for both leadership and shop‑floor teams
- Ensure data quality and KPI accuracy by identifying and resolving discrepancies between source systems and analytics outputs
- Implement proactive monitoring, data validation, and automated quality checks to deliver trusted, high‑availability datasets
- Serve as the analytics point of contact for Operations and Manufacturing Engineering - prioritize requirements, publish release notes, and host enablement sessions with line leaders and supervisors
- Work with data teams across the organization to ensure the right data is available to answer questions and monitor operations
- Communicate technical findings in a clear, compelling way that resonates with both technical and non‑technical audiences
Qualifications
Required Skills and Experience
- Minimum 2 years of experience in a professional role involving data (e.g. data engineering, data science, data visualizations)
- Minimum 1 year of programming or scripting experience (e.g. Python, C++, Java, Bash, PowerShell)
- Minimum 1 year of hands‑on experience using SQL
- Excellent communication (written and verbal), presentation and documentation skills
- Strong organization and time‑management skills, with the ability to manage multiple priorities in a dynamic environment
- Ability to distill complex information into clear insights that support operational improvements
Required Education and Training
- Bachelor's degree in Business, Economics, Statistics, Engineering, Physics, or other quantitative field
Working Conditions
- None
Preferred Skills and Experience
- Minimum 2 years of hands-on experience building, operating, or supporting Operations data pipelines or analytics systems
- Experience with Snowflake SQL
- Experience in a manufacturing environment with understanding of MRP systems and factory workflows
- Proficiency with visualization and analytics tools such as Tableau, Smartsheet, or Posit
- Familiarity with statistical process control (SPC)
Additional Information
Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.
Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).
For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.
This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law.
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.

Company Description
It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.
We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.
The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.
If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.
Job Description
Primary Function of Position
The Operations Data Scientist plays a critical role in transforming how manufacturing teams see and understand their operations by building and operating data pipelines, models, and visualizations that deliver real‑time line visibility to manufacturing performance and associated key performance indicators (KPIs). This role partners with Manufacturing Engineering, Automation Equipment and Test (AET) Engineering, Operations, Industrial Engineering, Quality, and IT/Data teams to architect reliable data flows from MES/ERP and equipment sources, transform raw signals into trusted semantic models, and surface insights via dashboards and alerts that drive business efficiencies and support continuous improvement (throughput, yield, cost, rework, OEE).
The ideal candidate thrives at the intersection of data engineering and operations. They enjoy understanding how complex manufacturing systems work, uncovering hidden patterns in data, and turning raw information into intuitive analytics that drive action on the floor. This role is perfect for someone who is energized by solving meaningful problems, partnering closely with cross‑functional teams, and owning the full lifecycle of data—from source to insight.
Essential Job Duties
- Develop, maintain, and enhance data pipelines that power manufacturing operations with high reliability and performance, balancing latency, reliability, and cost
- Build new integrations to close data gaps, ensuring end‑to‑end visibility across production lines, equipment, and MES/ERP systems
- Build dynamic, user‑friendly dashboards that provide clear, actionable insights for both leadership and shop‑floor teams
- Ensure data quality and KPI accuracy by identifying and resolving discrepancies between source systems and analytics outputs
- Implement proactive monitoring, data validation, and automated quality checks to deliver trusted, high‑availability datasets
- Serve as the analytics point of contact for Operations and Manufacturing Engineering - prioritize requirements, publish release notes, and host enablement sessions with line leaders and supervisors
- Work with data teams across the organization to ensure the right data is available to answer questions and monitor operations
- Communicate technical findings in a clear, compelling way that resonates with both technical and non‑technical audiences
Qualifications
Required Skills and Experience
- Minimum 2 years of experience in a professional role involving data (e.g. data engineering, data science, data visualizations)
- Minimum 1 year of programming or scripting experience (e.g. Python, C++, Java, Bash, PowerShell)
- Minimum 1 year of hands‑on experience using SQL
- Excellent communication (written and verbal), presentation and documentation skills
- Strong organization and time‑management skills, with the ability to manage multiple priorities in a dynamic environment
- Ability to distill complex information into clear insights that support operational improvements
Required Education and Training
- Bachelor's degree in Business, Economics, Statistics, Engineering, Physics, or other quantitative field
Working Conditions
- None
Preferred Skills and Experience
- Minimum 2 years of hands-on experience building, operating, or supporting Operations data pipelines or analytics systems
- Experience with Snowflake SQL
- Experience in a manufacturing environment with understanding of MRP systems and factory workflows
- Proficiency with visualization and analytics tools such as Tableau, Smartsheet, or Posit
- Familiarity with statistical process control (SPC)
Additional Information
Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.
Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).
For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.
This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law.
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
See all 8,728+ Data Contributor jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Contributor roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Contributor
Align your degree to the role
Your Australian bachelor's degree must match the Data Contributor role's field requirements. A three-year Australian degree is generally accepted as equivalent to a U.S. four-year degree, but confirm the field alignment before applying to roles.
Target employers with LCA filing history
Search DOL's Office of Foreign Labor Certification disclosure data to identify companies that have filed LCAs for data roles. Employers already familiar with the LCA process move faster and are less likely to back out over paperwork concerns.
Use Migrate Mate's E-3 filing service end-to-end
Once you have a signed offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork. This removes the common delay caused by employers who are unfamiliar with DOL prevailing wage requirements for data roles.
Document your data tools and methodologies
USCIS scrutinizes specialty occupation claims for data roles. Prepare evidence that your position requires degree-level knowledge: project documentation, technical specifications, or employer letters that name specific analytical frameworks or platforms you'll use.
Account for consulate wait times in your start date
E-3 visa interviews at Sydney, Melbourne, and Perth can book out several weeks. Negotiate a start date at least six to eight weeks after your expected LCA certification to avoid starting work before your visa appointment clears.
Data Contributor jobs are hiring across the US. Find yours.
Find Data Contributor JobsData Contributor E-3 Visa: Frequently Asked Questions
How do I find Data Contributor jobs with E-3 visa sponsorship?
Migrate Mate lets you search Data Contributor roles filtered by E-3 visa sponsorship, so you're only seeing employers open to the process. Many data roles are posted without explicit sponsorship labels, and Migrate Mate surfaces employer LCA filing history to help you identify who has actually sponsored Australian professionals before.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Data Contributor role qualify as a specialty occupation for the E-3?
Yes, provided the position requires a bachelor's degree or higher in a specific field such as data science, statistics, computer science, or information systems. Generic data entry roles that accept any degree field are less likely to qualify. The stronger the job description's technical requirements, the cleaner the specialty occupation argument.
How does the E-3 compare to the H-1B for Data Contributor roles?
The E-3 has no annual cap and no lottery, so there's no randomized selection process. An H-1B applicant competing for the same Data Contributor role faces a roughly one-in-four selection chance each year. For eligible Australians, the E-3 means a confirmed visa timeline rather than waiting on lottery results before an employer will commit to a start date.
Can I change employers after starting a Data Contributor role on E-3?
Yes, but each employer change requires a new LCA filing and a new visa stamp if yours has expired. You can begin working for a new employer once the new LCA is certified and your visa remains valid. There's no portability provision like H-1B's AC21, so plan for a processing gap between roles if your current E-3 stamp is expiring.
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