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 JobsJob Location - Chicago IL (Day One Onsite - Hybrid)
About The Role
- The goal of analytics engineering team within the Service Analytics and AI organization is to build curated data products leveraging data from structured and unstructured enterprise data sources to enable business intelligence, data science, and advanced analytics.
- Seeking a highly skilled and motivated data engineer to join Analytics Engineering team within the Service Analytics and AI organization.
- This role is pivotal in designing, building, and maintaining scalable data pipelines and analytics solutions that empower Advanced Analytics, Business Intelligence, and Data Science initiatives.
- You will play a crucial role in building a semantic data layer, defining and implementing cutting-edge data products, and delivering innovative AI-driven solutions that fuel business growth and enhance customer experience.
Key Responsibilities
- Data Pipeline Development: Lead the design, development, and deployment of scalable and robust data pipelines, ensuring seamless data integration and processing across diverse systems.
- Analytics Engineering Best Practices: Establish and uphold best practices for data engineering, including coding standards, data governance, performance optimization, and automation strategies.
- Code Quality and Review: Participate in code reviews, provide constructive feedback, and contribute to the team's continuous improvement in coding practices and methodologies.
- ETL/ELT Development: Design, build, and maintain robust ETL/ELT pipelines, reusable frameworks, and libraries to process and transform data from diverse sources, ensuring accuracy, quality, and consistency.
- System Monitoring: Proactively monitor and troubleshoot data pipelines, ensuring high availability, reliability, and performance across all data engineering workflows.
- Automation and CI/CD: Implement CI/CD pipelines to streamline the deployment, testing, and maintenance of analytics engineering processes.
- Cross-functional Collaboration: Partner with data scientists, engineers, analysts, product managers, and business stakeholders to understand requirements, translate them into actionable technical specifications, and deliver impactful data solutions.
- Stakeholder Communication: Articulate complex technical concepts to non-technical stakeholders, fostering alignment and ensuring a shared understanding of data initiatives across teams.
Required Skills
- Hands-on experience with SQL, Python, dbt, and Snowflake.
- Experience in version control systems such as Git, and workflow management tools such as Airflow.
- Proven experience in designing and building scalable data pipelines, and architectures.
- Strong understanding of data governance, quality assurance, and performance optimization in a data engineering context.
- Expertise in ETL/ELT processes, data modeling, and integration of data from multiple sources into a data warehouse.
- Experience with CI/CD workflows and tools for data engineering.
- Strong problem-solving and analytical skills, with the ability to work effectively in a collaborative environment.
Life At Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
- Disaster Relief
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Salary Transparency
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110841 to $145000 /yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
For this role, the gross annual base salary range is $110841 to $145000 for a full-time position. This range covers base pay only; we will discuss any bonuses, incentives, and benefits during the hiring process. Your exact offer will depend on objective, job-related factors – like your experience, skills, and qualifications – in line with our fair pay principles. If a collective labour agreement applies to this role, we will share the relevant pay scale details with you. Note: We never ask about your current or past salary during our recruitment process.
Job Location - Chicago IL (Day One Onsite - Hybrid)
About The Role
- The goal of analytics engineering team within the Service Analytics and AI organization is to build curated data products leveraging data from structured and unstructured enterprise data sources to enable business intelligence, data science, and advanced analytics.
- Seeking a highly skilled and motivated data engineer to join Analytics Engineering team within the Service Analytics and AI organization.
- This role is pivotal in designing, building, and maintaining scalable data pipelines and analytics solutions that empower Advanced Analytics, Business Intelligence, and Data Science initiatives.
- You will play a crucial role in building a semantic data layer, defining and implementing cutting-edge data products, and delivering innovative AI-driven solutions that fuel business growth and enhance customer experience.
Key Responsibilities
- Data Pipeline Development: Lead the design, development, and deployment of scalable and robust data pipelines, ensuring seamless data integration and processing across diverse systems.
- Analytics Engineering Best Practices: Establish and uphold best practices for data engineering, including coding standards, data governance, performance optimization, and automation strategies.
- Code Quality and Review: Participate in code reviews, provide constructive feedback, and contribute to the team's continuous improvement in coding practices and methodologies.
- ETL/ELT Development: Design, build, and maintain robust ETL/ELT pipelines, reusable frameworks, and libraries to process and transform data from diverse sources, ensuring accuracy, quality, and consistency.
- System Monitoring: Proactively monitor and troubleshoot data pipelines, ensuring high availability, reliability, and performance across all data engineering workflows.
- Automation and CI/CD: Implement CI/CD pipelines to streamline the deployment, testing, and maintenance of analytics engineering processes.
- Cross-functional Collaboration: Partner with data scientists, engineers, analysts, product managers, and business stakeholders to understand requirements, translate them into actionable technical specifications, and deliver impactful data solutions.
- Stakeholder Communication: Articulate complex technical concepts to non-technical stakeholders, fostering alignment and ensuring a shared understanding of data initiatives across teams.
Required Skills
- Hands-on experience with SQL, Python, dbt, and Snowflake.
- Experience in version control systems such as Git, and workflow management tools such as Airflow.
- Proven experience in designing and building scalable data pipelines, and architectures.
- Strong understanding of data governance, quality assurance, and performance optimization in a data engineering context.
- Expertise in ETL/ELT processes, data modeling, and integration of data from multiple sources into a data warehouse.
- Experience with CI/CD workflows and tools for data engineering.
- Strong problem-solving and analytical skills, with the ability to work effectively in a collaborative environment.
Life At Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
- Disaster Relief
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Salary Transparency
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110841 to $145000 /yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
For this role, the gross annual base salary range is $110841 to $145000 for a full-time position. This range covers base pay only; we will discuss any bonuses, incentives, and benefits during the hiring process. Your exact offer will depend on objective, job-related factors – like your experience, skills, and qualifications – in line with our fair pay principles. If a collective labour agreement applies to this role, we will share the relevant pay scale details with you. Note: We never ask about your current or past salary during our recruitment process.
See all 275+ H-1B1 Singapore Visa Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Data Engineer Jobs.
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 visa 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 visa 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 visa 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-1B1 visa process is simpler than the H-1B visa 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.