E-3 Visa Senior Data Science Engineer Jobs
Senior Data Science Engineer roles in machine learning infrastructure, model deployment, and large-scale analytics pipelines qualify as E-3 specialty occupations. Australian professionals can secure sponsorship without entering a lottery, and your employer's LCA filing with the DOL is the critical first step before your consulate appointment.
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Get Access To All JobsAbout the Role:
Grade Level (for internal use):
11
The Team
We are a global but tight-knit team driven by collaboration and enablement, focused on building scalable, enterprise-grade platforms, services, and common capabilities that drive wins across our entire division. Our team values collaboration, end-user empathy, hard work, and honesty—creating an environment where innovative solutions can flourish and make a meaningful impact at scale.
Responsibilities and Impact
- Drive product strategy and roadmap for critical data infrastructure components, including data onboarding, storage solutions, and core platform engines
- Lead cross-functional teams to deliver data engineering capabilities, admin utilities, and data quality solutions that enable enterprise-scale analytics
- Own product vision for disaster recovery and resiliency frameworks to ensure platform reliability and business continuity
- Define and execute an ontology integration strategy to enhance knowledge management excellence and semantic data capabilities
- Collaborate with engineering teams to implement MLOps practices for machine learning operations and model lifecycle management
- Develop and maintain an innersource ecosystem strategy to enable cross-team collaboration on core platform capabilities within defined governance guardrails
- Partner with stakeholders to define requirements for common data pipeline capabilities and shared tooling that data engineering teams utilize when building enterprise data workflows
- Champion data quality initiatives and drive technical implementation of data quality tools and monitoring solutions that ensure accuracy and consistency across all data processing workflows
What We’re Looking For:
Basic Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field, or equivalent professional experience
- 8+ years of product management experience focused on data platforms, analytics infrastructure, or enterprise data solutions
- Hands-on experience with advanced Databricks features, including Delta Lake, MLflow, and Databricks SQL for end-to-end data and ML pipeline management
- Strong technical background with hands-on experience in data engineering technologies such as Apache Spark, Kafka, Airflow, or similar distributed processing frameworks
- Proven experience with cloud data platforms, including AWS, Azure, or Google Cloud Platform
- Understanding of Machine Learning Operations (MLOps) processes, including model deployment, monitoring, and lifecycle management
- Strong knowledge of standard Software Development Life Cycle (SDLC) methodologies, including Agile, Scrum, and DevOps practices
- Demonstrated ability to translate business requirements into technical product specifications while working closely with cross-functional engineering teams
Preferred Qualifications
- Advanced degree (MBA, MS in Computer Science, Data Science, or related field)
- Experience with data governance frameworks and regulatory compliance requirements in enterprise environments
- Background in financial services, fintech, or other regulated industries with a strong understanding of data privacy and security requirements
- Experience leading cross-functional teams and managing vendor or partner relationships within complex technical ecosystems
Compensation/Benefits Information: (This section is only applicable to US candidates)
S&P Global states that the anticipated base salary range for this position is $100,000 to $149,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.
In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.
About S& P Global Energy
At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration.
S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at www.spglobal.com/energy.
What’s In It For You?
Our Mission:
Advancing Essential Intelligence.
Our People:
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
Our Values:
Integrity, Discovery, Partnership
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include:
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
Global Hiring and Opportunity at S&P Global:
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an
About the Role:
Grade Level (for internal use):
11
The Team
We are a global but tight-knit team driven by collaboration and enablement, focused on building scalable, enterprise-grade platforms, services, and common capabilities that drive wins across our entire division. Our team values collaboration, end-user empathy, hard work, and honesty—creating an environment where innovative solutions can flourish and make a meaningful impact at scale.
Responsibilities and Impact
- Drive product strategy and roadmap for critical data infrastructure components, including data onboarding, storage solutions, and core platform engines
- Lead cross-functional teams to deliver data engineering capabilities, admin utilities, and data quality solutions that enable enterprise-scale analytics
- Own product vision for disaster recovery and resiliency frameworks to ensure platform reliability and business continuity
- Define and execute an ontology integration strategy to enhance knowledge management excellence and semantic data capabilities
- Collaborate with engineering teams to implement MLOps practices for machine learning operations and model lifecycle management
- Develop and maintain an innersource ecosystem strategy to enable cross-team collaboration on core platform capabilities within defined governance guardrails
- Partner with stakeholders to define requirements for common data pipeline capabilities and shared tooling that data engineering teams utilize when building enterprise data workflows
- Champion data quality initiatives and drive technical implementation of data quality tools and monitoring solutions that ensure accuracy and consistency across all data processing workflows
What We’re Looking For:
Basic Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field, or equivalent professional experience
- 8+ years of product management experience focused on data platforms, analytics infrastructure, or enterprise data solutions
- Hands-on experience with advanced Databricks features, including Delta Lake, MLflow, and Databricks SQL for end-to-end data and ML pipeline management
- Strong technical background with hands-on experience in data engineering technologies such as Apache Spark, Kafka, Airflow, or similar distributed processing frameworks
- Proven experience with cloud data platforms, including AWS, Azure, or Google Cloud Platform
- Understanding of Machine Learning Operations (MLOps) processes, including model deployment, monitoring, and lifecycle management
- Strong knowledge of standard Software Development Life Cycle (SDLC) methodologies, including Agile, Scrum, and DevOps practices
- Demonstrated ability to translate business requirements into technical product specifications while working closely with cross-functional engineering teams
Preferred Qualifications
- Advanced degree (MBA, MS in Computer Science, Data Science, or related field)
- Experience with data governance frameworks and regulatory compliance requirements in enterprise environments
- Background in financial services, fintech, or other regulated industries with a strong understanding of data privacy and security requirements
- Experience leading cross-functional teams and managing vendor or partner relationships within complex technical ecosystems
Compensation/Benefits Information: (This section is only applicable to US candidates)
S&P Global states that the anticipated base salary range for this position is $100,000 to $149,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.
In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.
About S& P Global Energy
At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration.
S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at www.spglobal.com/energy.
What’s In It For You?
Our Mission:
Advancing Essential Intelligence.
Our People:
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
Our Values:
Integrity, Discovery, Partnership
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include:
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
Global Hiring and Opportunity at S&P Global:
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an
See all 1,361+ Senior Data Science Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Data Science Engineer roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Senior Data Science Engineer
Translate your Australian credentials for U.S. employers
A three-year Australian bachelor's degree in computer science, statistics, or a related field satisfies the E-3 specialty occupation requirement. Get a credential evaluation in writing so your employer's HR team can confirm equivalency without delays.
Target employers with active DOL LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data to identify companies that have filed LCAs for data science titles. Employers already familiar with the LCA process move faster and are less likely to stall at the sponsorship conversation.
Frame your role clearly as a specialty occupation
Job descriptions that list a bachelor's degree as 'preferred' rather than 'required' can complicate your E-3 application. Before accepting an offer, confirm the posting specifies a degree requirement in a specific field like computer science, mathematics, or engineering.
Use Migrate Mate's E-3 filing service for the LCA and paperwork
The LCA must be certified by the DOL before you can book your consulate appointment. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so the process moves in the right sequence without errors that delay your start date.
Negotiate your offer around the prevailing wage requirement
The DOL prevailing wage for your specific SOC code and work location sets the floor your employer must certify on the LCA. Confirm the offered salary meets or exceeds that threshold before the employer submits the LCA to avoid a rejection and restart.
Prepare your portfolio for the consulate specialty occupation question
Consular officers sometimes probe whether senior data science engineer roles genuinely require a specific degree field. Bring project documentation, a degree-to-role statement from your employer, and evidence of specialized technical responsibilities to support your case.
Senior Data Science Engineer jobs are hiring across the US. Find yours.
Find Senior Data Science Engineer JobsSenior Data Science Engineer E-3 Visa: Frequently Asked Questions
How do I find Senior Data Science Engineer jobs with E-3 sponsorship?
Use Migrate Mate to search for Senior Data Science Engineer roles filtered by E-3 visa sponsorship. Most generic job boards don't filter by visa type, so you waste time applying to employers who won't sponsor. Migrate Mate surfaces roles from employers with documented sponsorship activity, so your applications go to companies already set up to file the LCA and support your visa.
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 Senior Data Science Engineer role qualify as an E-3 specialty occupation?
Yes, provided the role requires a bachelor's degree or higher in a specific field such as computer science, statistics, mathematics, or a related discipline. Roles focused on model development, ML infrastructure, or data pipeline architecture consistently meet the specialty occupation definition. Roles where any technical degree qualifies regardless of field carry more risk at the consulate and may invite additional scrutiny.
How does the E-3 compare to the H-1B for Senior Data Science Engineers?
The E-3 is available exclusively to Australian citizens and has no lottery, no annual cap, and no random selection process. H-1B petitions for the same role require registration in a lottery with roughly a one-in-four selection rate for most applicants. For Australians, the E-3 means a direct path from job offer to consulate appointment, typically within a few weeks, without the uncertainty of waiting on a March lottery result.
Can I switch employers on an E-3 as a Senior Data Science Engineer?
Yes, but you need to restart the process with your new employer. The new employer must file a fresh LCA with the DOL, and you'll need a new E-3 visa stamp if yours was issued for your previous employer. You can begin work for the new employer as soon as the LCA is certified and you have a valid visa, so coordinating your start date around the LCA timeline matters.
See which Senior Data Science Engineer employers are hiring and sponsoring visas right now.
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