H-1B1 Singapore Visa Data Engineer Jobs
Data Engineer jobs with H-1B1 Singapore visa sponsorship are open to Singaporean nationals under the U.S.-Singapore Free Trade Agreement. No lottery, no USCIS petition, and the 5,400-visa annual cap has never been exhausted. You apply directly at the U.S. consulate once you have a qualifying job offer in a specialty occupation.
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Get Access To All JobsRequisition ID
93907
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Fully Onsite
Location Designation: Fully Onsite
Location: 51 Madison Avenue, New York, New York 10010
Salary Range: $144,400.00 - $171,500.00/year
Duties:
- Design and implement data pipeline architecture and processes including sourcing, transformation, and extraction to enable seamless analytics integration.
- Utilize expert-level SQL and Python to manage, query, and transform structured data in relational databases to ensure performance, scalability, and maintainability.
- Automate and manage robust data pipelines and workflows using software engineering best practices including modular design, version control, and testing frameworks to ensure reliability and repeatability.
- Map data between source systems, data warehouses, and data marts in alignment with business requirements, ensuring data consistency across analytical workflows.
- Build and maintain data models that enhance efficiency, performance, and support complex business analytics and reporting needs.
- Collaborate with analysts, data scientists, and business stakeholders to translate business requirements into actionable, scalable data solutions.
- Leverage cloud platforms including AWS, along with big data frameworks like Redshift, to build and scale secure, high-performance data engineering solutions for large-scale analytics.
- Develop and enforce standards for development, testing and documentation, including data flow maps to support transparency and maintainability.
- Conduct comprehensive quality assurance processes including code reviews, test plan development, and rigorous validation to ensure data accuracy, completeness, and reliability.
- Provide troubleshooting support for data pipelines and workflows, focusing on system performance, data integrity, and availability to meet evolving business analytics demands.
- Build strong relationships with IT to work on tooling, data strategy, integrations, and deployments.
- Stay up to date with the latest analytics engineering trends and emerging technologies, and look for opportunities to improve the stack.
Education & Experience Requirements:
Master's degree in Computer Science, Computer Engineering, Business Analytics or related field (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Analyst or Data Engineer supporting data science and analytics through data engineering, pipeline development, and cross-functional collaboration across data, IT, and business teams. Alternatively, Bachelor's degree in Computer Science, Computer Engineering, Business Analytics or related field (willing to accept foreign education equivalent) plus five (5) years of experience as a Data Analyst or Data Engineer supporting data science and analytics through data engineering, pipeline development, and cross-functional collaboration across data, IT, and business teams.
Specific skills/other requirements:
- Utilizing advanced-level SQL and Python for querying and managing structured data within relational database systems (RDBMS).
- Designing and implementing data models to enhance efficiency, performance, and fulfill business analytics requirements.
- Automating and orchestrating SQL workflows using established software engineering best practices including CI/CD and version control.
- Developing standards and practices for data and analytics engineering, focusing on scalable architectural data pipeline patterns.
- Utilizing big data platforms including Redshift for efficient large-scale data processing and analysis.
- Building and deploying scalable data engineering solutions in cloud environments including AWS using cloud-native tools and services.
- Conducting comprehensive quality assurance processes including code reviews, test plan development, and rigorous validation to ensure data accuracy.
Hybrid – 3 days in office, 2 days remote. Eligible for Employee Referral Program.
Pay Transparency
Overtime eligible: Exempt
Discretionary bonus eligible: No
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.
Job Requisition ID: 93907
Requisition ID
93907
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Fully Onsite
Location Designation: Fully Onsite
Location: 51 Madison Avenue, New York, New York 10010
Salary Range: $144,400.00 - $171,500.00/year
Duties:
- Design and implement data pipeline architecture and processes including sourcing, transformation, and extraction to enable seamless analytics integration.
- Utilize expert-level SQL and Python to manage, query, and transform structured data in relational databases to ensure performance, scalability, and maintainability.
- Automate and manage robust data pipelines and workflows using software engineering best practices including modular design, version control, and testing frameworks to ensure reliability and repeatability.
- Map data between source systems, data warehouses, and data marts in alignment with business requirements, ensuring data consistency across analytical workflows.
- Build and maintain data models that enhance efficiency, performance, and support complex business analytics and reporting needs.
- Collaborate with analysts, data scientists, and business stakeholders to translate business requirements into actionable, scalable data solutions.
- Leverage cloud platforms including AWS, along with big data frameworks like Redshift, to build and scale secure, high-performance data engineering solutions for large-scale analytics.
- Develop and enforce standards for development, testing and documentation, including data flow maps to support transparency and maintainability.
- Conduct comprehensive quality assurance processes including code reviews, test plan development, and rigorous validation to ensure data accuracy, completeness, and reliability.
- Provide troubleshooting support for data pipelines and workflows, focusing on system performance, data integrity, and availability to meet evolving business analytics demands.
- Build strong relationships with IT to work on tooling, data strategy, integrations, and deployments.
- Stay up to date with the latest analytics engineering trends and emerging technologies, and look for opportunities to improve the stack.
Education & Experience Requirements:
Master's degree in Computer Science, Computer Engineering, Business Analytics or related field (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Analyst or Data Engineer supporting data science and analytics through data engineering, pipeline development, and cross-functional collaboration across data, IT, and business teams. Alternatively, Bachelor's degree in Computer Science, Computer Engineering, Business Analytics or related field (willing to accept foreign education equivalent) plus five (5) years of experience as a Data Analyst or Data Engineer supporting data science and analytics through data engineering, pipeline development, and cross-functional collaboration across data, IT, and business teams.
Specific skills/other requirements:
- Utilizing advanced-level SQL and Python for querying and managing structured data within relational database systems (RDBMS).
- Designing and implementing data models to enhance efficiency, performance, and fulfill business analytics requirements.
- Automating and orchestrating SQL workflows using established software engineering best practices including CI/CD and version control.
- Developing standards and practices for data and analytics engineering, focusing on scalable architectural data pipeline patterns.
- Utilizing big data platforms including Redshift for efficient large-scale data processing and analysis.
- Building and deploying scalable data engineering solutions in cloud environments including AWS using cloud-native tools and services.
- Conducting comprehensive quality assurance processes including code reviews, test plan development, and rigorous validation to ensure data accuracy.
Hybrid – 3 days in office, 2 days remote. Eligible for Employee Referral Program.
Pay Transparency
Overtime eligible: Exempt
Discretionary bonus eligible: No
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.
Job Requisition ID: 93907
See all 199+ Data Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Data Engineer
Verify your role meets specialty occupation
The H-1B1 visa requires your Data Engineer position to demand at least a bachelor's degree in a directly related field. Cross-check your job description against the O*NET profile for Data Engineers to confirm the role's educational requirements before approaching any employer.
Target employers with active LCA filing history
Search DOL Labor Condition Application disclosure data to identify companies that have filed LCAs for Data Engineer roles. Employers already familiar with the LCA process are far less likely to stall your offer over H-1B1 paperwork.
Use Migrate Mate to filter for H-1B1 sponsors
Search for Data Engineer roles on Migrate Mate, which surfaces employers verified to have H-1B1 Singapore sponsorship history. That filters out companies whose offers will collapse once they learn no lottery is needed but an LCA still is.
Benchmark your offer against OFLC prevailing wages
Your employer must certify your salary meets the DOL prevailing wage for Data Engineers in the specific metro area. Run the OFLC Wage Search before your negotiation so you know the floor and can flag any offer that falls below it.
Clarify the LCA timeline with your employer early
The Labor Condition Application must be certified by DOL before your consulate appointment can proceed. Ask your employer who handles their LCA filings and confirm they can submit within two weeks of signing your offer letter.
Prepare a credential evaluation for three-year degrees
Singaporean polytechnic diplomas or three-year bachelor's degrees can raise consular questions about equivalency to a U.S. four-year degree. A foreign credential evaluation from a recognized agency documents the equivalency and prevents administrative processing delays at your interview.
Frequently Asked Questions
Do Data Engineer roles qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes. Data Engineer positions require a bachelor's degree or higher in computer science, information systems, or a closely related field, satisfying the H-1B1 specialty occupation definition. Your employer must document this requirement in the Labor Condition Application. If your job description allows a degree in any field, the role may not qualify, so the LCA language matters.
How does the H-1B1 Singapore visa differ from H-1B for Data Engineers?
The H-1B1 has no lottery and is filed directly at the U.S. consulate rather than through USCIS, which means no USCIS petition fee and no random selection. The 5,400 annual cap has never been reached. The trade-off is that H-1B1 doesn't confer dual intent, so maintaining clear nonimmigrant intent is important throughout your employment.
What documents should a Singaporean Data Engineer bring to the H-1B1 consulate interview?
Bring your certified Labor Condition Application, a signed offer letter specifying your title and salary, your degree certificates with transcripts, and your DS-160 confirmation. If your degree is from a Singaporean institution with a three-year structure, include a foreign credential evaluation. The consular officer will verify that your qualifications match the specialty occupation claimed in the LCA.
How do I find employers actively sponsoring H-1B1 Singapore visas for Data Engineers?
Migrate Mate lets you search Data Engineer roles filtered by employers with documented H-1B1 Singapore sponsorship history, which removes the guesswork of cold-applying to companies unfamiliar with the visa. You can also review DOL Labor Condition Application disclosure data to see which companies have filed for Data Engineer positions and the metro areas where they hire.
Can my employer sponsor me for H-1B1 if they have never done it before?
Yes. The H-1B visa1 process is simpler than the H-1B because there is no USCIS petition. Your employer files a Labor Condition Application with DOL and you attend a consulate interview. Many employers who have never sponsored a Singaporean national can complete the LCA with standard immigration counsel. The absence of a lottery or USCIS adjudication often makes first-time sponsors more willing to proceed.
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