H-1B1 Singapore Visa Staff Engineer Jobs
Staff Engineer roles qualify for H-1B1 Singapore visa sponsorship as specialty occupations requiring at least a bachelor's degree in engineering or computer science. Singaporean nationals can apply directly at the U.S. Embassy in Singapore with no lottery and an annual cap of 5,400 visas that has never been exhausted.
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Get Access To All JobsWhat if the work you did every day could impact the lives of people you know? Or all of humanity?
At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.
Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.
Summary
The Staff Data Engineer is a seasoned, hands-on engineer who designs, builds, and scales data products on our cloud lakehouse, powering analytics, reporting, and AI/ML across Illumina. We are looking for someone with strong proficiency in Python, SQL, and data modeling, a solid understanding of distributed systems and system design who has built and scaled data products on modern cloud platforms such as Databricks and Snowflake.
This is a hands-on, senior individual-contributor role with end-to-end ownership and leadership spanning multiple domains such as Supply Chain, Manufacturing and Quality, including mentoring engineers on our global (India-based) team.
Responsibilities
- Partner across business, AI, and platform teams translating domain needs (e.g., SAP, Manufacturing, Quality) into well-modeled, governed and scalable data products.
- Design, build, and scale end-to-end data products on Databricks (and interoperating with Snowflake) — from ingestion through curated, analytics-ready datasets following a medallion (Bronze/Silver/Gold) architecture.
- Develop reusable frameworks, libraries, and standardized patterns in Python (functional and OOP as appropriate) for ingestion, transformation, validation, and publishing.
- Design robust data models (relational, dimensional, and lakehouse) and apply strong system-design judgment to build performant, reliable distributed data pipelines using Spark, Delta Lake / open table formats, dbt, and SQL.
- Embed data quality, reconciliation, validation, and governance into pipelines (Unity Catalog: lineage, RBAC, masking, PII handling).
- Monitoring, alerting, troubleshooting, root-cause analysis, and SLA adherence for business-critical datasets.
- Adopt AI in day-to-day data and analytics engineering to accelerate development, testing, and optimization.
- Act as a technical leader — set standards, lead code reviews, contribute to architecture decisions, mentor engineers, and communicate trade-offs to peers and stakeholders.
Required Qualifications
- 10+ years of professional data engineering experience building and scaling data products on cloud platforms such as Databricks and/or Snowflake.
- Strong proficiency in Python, including reusable framework development using functional and object-oriented programming.
- Advanced SQL and strong data modeling skills (relational, dimensional, and lakehouse).
- Solid understanding of distributed systems and system design for large-scale data processing.
- Hands-on experience with open table formats (Delta Lake, and/or Apache Iceberg) and big-data file formats (Parquet).
- Experience with Spark and modern ELT tooling (e.g., dbt).
- Experience with data observability, governance, security, and compliance practices (RBAC, PII, SOX).
- Demonstrated adoption of AI in data and analytics engineering workflows.
- Solid software engineering foundation — Git, REST APIs, JSON, CI/CD on at least one cloud environment (AWS preferred).
- Strong written and verbal communication skills, with the ability to work effectively across business, AI, and platform teams and lead technical discussion.
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related field, or equivalent demonstrable experience.
Preferred Qualifications
- Strong plus with domain knowledge of SAP, Manufacturing, and/or Quality data and processes.
- Experience delivering in GxP / 21 CFR Part 11 or comparable regulated environments (life sciences, pharma, medical devices).
- Experience with Unity Catalog and lakehouse governance at scale.
- Snowflake-to-Databricks migration experience.
- Exposure to SAP data (ECC / S/4HANA, CDS views) and SAP data integration patterns (e.g., SAP Business Data Cloud). Bonus if candidate have additional domain knowledge such as Commercial and Finance.
- Databricks and/or dbt certifications.
- Familiarity with Power BI / Tableau and enabling BI and conversational-analytics.
Competencies We Value
- Ownership: End-to-end accountability for data products, from design through production support.
- Engineering Craft: Clean, reusable, well-designed code and pride in auditable, reliable data.
- System Thinking: Sound design judgment across scale, performance, and cost.
- Technical Leadership: Raising the bar through standards, reviews, and mentorship.
- Learning Velocity: Quick to adopt new tools, including AI and applying them pragmatically.
- Cross-Functional Communication: Partnering effectively with business, AI, and platform teams and explaining trade-offs clearly.
The estimated base salary range for the Staff Data Engineer role based in the United States of America is: $141,600 - $212,400. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. The range reflects long-term growth in the role; therefore, most candidates are hired between the minimum and middle of the range. Placement depends on experience, skills, location, and internal equity. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off.
We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants.
What if the work you did every day could impact the lives of people you know? Or all of humanity?
At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.
Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.
Summary
The Staff Data Engineer is a seasoned, hands-on engineer who designs, builds, and scales data products on our cloud lakehouse, powering analytics, reporting, and AI/ML across Illumina. We are looking for someone with strong proficiency in Python, SQL, and data modeling, a solid understanding of distributed systems and system design who has built and scaled data products on modern cloud platforms such as Databricks and Snowflake.
This is a hands-on, senior individual-contributor role with end-to-end ownership and leadership spanning multiple domains such as Supply Chain, Manufacturing and Quality, including mentoring engineers on our global (India-based) team.
Responsibilities
- Partner across business, AI, and platform teams translating domain needs (e.g., SAP, Manufacturing, Quality) into well-modeled, governed and scalable data products.
- Design, build, and scale end-to-end data products on Databricks (and interoperating with Snowflake) — from ingestion through curated, analytics-ready datasets following a medallion (Bronze/Silver/Gold) architecture.
- Develop reusable frameworks, libraries, and standardized patterns in Python (functional and OOP as appropriate) for ingestion, transformation, validation, and publishing.
- Design robust data models (relational, dimensional, and lakehouse) and apply strong system-design judgment to build performant, reliable distributed data pipelines using Spark, Delta Lake / open table formats, dbt, and SQL.
- Embed data quality, reconciliation, validation, and governance into pipelines (Unity Catalog: lineage, RBAC, masking, PII handling).
- Monitoring, alerting, troubleshooting, root-cause analysis, and SLA adherence for business-critical datasets.
- Adopt AI in day-to-day data and analytics engineering to accelerate development, testing, and optimization.
- Act as a technical leader — set standards, lead code reviews, contribute to architecture decisions, mentor engineers, and communicate trade-offs to peers and stakeholders.
Required Qualifications
- 10+ years of professional data engineering experience building and scaling data products on cloud platforms such as Databricks and/or Snowflake.
- Strong proficiency in Python, including reusable framework development using functional and object-oriented programming.
- Advanced SQL and strong data modeling skills (relational, dimensional, and lakehouse).
- Solid understanding of distributed systems and system design for large-scale data processing.
- Hands-on experience with open table formats (Delta Lake, and/or Apache Iceberg) and big-data file formats (Parquet).
- Experience with Spark and modern ELT tooling (e.g., dbt).
- Experience with data observability, governance, security, and compliance practices (RBAC, PII, SOX).
- Demonstrated adoption of AI in data and analytics engineering workflows.
- Solid software engineering foundation — Git, REST APIs, JSON, CI/CD on at least one cloud environment (AWS preferred).
- Strong written and verbal communication skills, with the ability to work effectively across business, AI, and platform teams and lead technical discussion.
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related field, or equivalent demonstrable experience.
Preferred Qualifications
- Strong plus with domain knowledge of SAP, Manufacturing, and/or Quality data and processes.
- Experience delivering in GxP / 21 CFR Part 11 or comparable regulated environments (life sciences, pharma, medical devices).
- Experience with Unity Catalog and lakehouse governance at scale.
- Snowflake-to-Databricks migration experience.
- Exposure to SAP data (ECC / S/4HANA, CDS views) and SAP data integration patterns (e.g., SAP Business Data Cloud). Bonus if candidate have additional domain knowledge such as Commercial and Finance.
- Databricks and/or dbt certifications.
- Familiarity with Power BI / Tableau and enabling BI and conversational-analytics.
Competencies We Value
- Ownership: End-to-end accountability for data products, from design through production support.
- Engineering Craft: Clean, reusable, well-designed code and pride in auditable, reliable data.
- System Thinking: Sound design judgment across scale, performance, and cost.
- Technical Leadership: Raising the bar through standards, reviews, and mentorship.
- Learning Velocity: Quick to adopt new tools, including AI and applying them pragmatically.
- Cross-Functional Communication: Partnering effectively with business, AI, and platform teams and explaining trade-offs clearly.
The estimated base salary range for the Staff Data Engineer role based in the United States of America is: $141,600 - $212,400. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. The range reflects long-term growth in the role; therefore, most candidates are hired between the minimum and middle of the range. Placement depends on experience, skills, location, and internal equity. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off.
We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants.
See all 2,278+ H-1B1 Singapore Visa Staff Engineer Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Staff Engineer
Verify your degree meets specialty occupation requirements
Staff Engineer roles require a directly related bachelor's degree, not just years of experience. A Singapore polytechnic diploma alone won't qualify. Confirm your NUS, NTU, or SMU engineering degree maps to the O*NET occupation profile before targeting H-1B1 visa employers.
Target employers with active LCA filing history
Search Migrate Mate to filter Staff Engineer roles by employers who have filed Labor Condition Applications for H-1B1 Singapore sponsorship. This shows real sponsorship intent, not just a checkbox on a job posting.
Distinguish H-1B1 from H-1B when talking to recruiters
Most U.S. recruiters default to H-1B visa assumptions and mention the lottery as a blocker. Tell them upfront you hold Singaporean citizenship and qualify for H-1B1 visa, which has no lottery and processes directly at the U.S. Embassy in Singapore.
Confirm your employer will certify the LCA before signing
Your employer must file a certified Labor Condition Application with DOL before your consular appointment. Get written confirmation during the offer stage that their legal team handles this step, since delays here push back your entire start date.
Prepare your degree equivalency documentation early
The consular officer will assess whether your Singaporean engineering qualifications meet U.S. specialty occupation standards. Gather official transcripts, degree certificates, and a credential evaluation from a NACES-member agency before your embassy appointment.
Use your 10-day grace period strategically between roles
H-1B1 visa status ends when your employment does, but you have a 10-day grace period after your final day. If you're changing employers, your new employer's LCA must be certified and your new H-1B1 petition filed before that window closes.
Frequently Asked Questions
Does a Staff Engineer role qualify as a specialty occupation for H-1B1 Singapore sponsorship?
Yes. Staff Engineer positions require at least a bachelor's degree in computer science, electrical engineering, or a directly related field, which satisfies the specialty occupation definition under USCIS guidelines. The role must genuinely require that specific degree, not just list it as preferred. Employers confirm this requirement when they file the Labor Condition Application with DOL.
How does H-1B1 Singapore differ from H-1B for Staff Engineer roles?
For Singaporean nationals, H-1B1 visa is almost always the faster path. There's no lottery, no USCIS petition filing, and the annual cap of 5,400 has never been reached. You apply directly at the U.S. Embassy in Singapore after your employer certifies the LCA with DOL. H-1B requires employer sponsorship through USCIS and subjects you to a random lottery with roughly a one-in-four selection rate.
How do I find Staff Engineer employers who will sponsor H-1B1 Singapore visas?
Migrate Mate filters Staff Engineer jobs by employers with verified H-1B1 visa LCA filing history, so you're only seeing companies that have actively sponsored Singaporean professionals rather than those that list sponsorship as a possibility. Most job boards don't surface this data, which means you end up in conversations with employers who have never navigated the H-1B1 process.
Can I switch employers on H-1B1 while already working in the United States?
Yes, but the new employer must file a fresh Labor Condition Application with DOL and you'll need a new H-1B1 visa issued at the U.S. Embassy in Singapore unless you qualify for a visa revalidation exception. Your current H-1B1 status ends when your employment ends, so the new LCA must be in place before your last day to avoid a gap in authorization.
What happens if my H-1B1 expires while I'm waiting for renewal paperwork?
H-1B1 visa is issued in one-year increments and does not have an automatic cap-gap extension like some other visa categories. If your renewal is delayed, your work authorization ends with your status. Most employers handling Staff Engineer sponsorship coordinate LCA recertification and embassy appointments two to three months before the expiration date to prevent a gap.