H-1B Visa Aws Data Engineer Jobs
AWS Data Engineer roles qualify as H-1B specialty occupations under the computer systems analyst and data engineering SOC codes. Employers filing H-1B petitions must certify a prevailing wage through a DOL Labor Condition Application before USCIS can approve your status. Cloud infrastructure and pipeline architecture skills are in consistent demand from sponsors across tech, finance, and healthcare.
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Get Access To All JobsINTRODUCTION
We have immediate hiring for AWS Lead Data Engineer role which is Hybrid and need someone who is good in “hands-on” rather than just a lead or manager.
Position: AWS Lead Data Engineer
Experience Required: 12+ Years
Location: Jersey City, NJ (Hybrid 3 Days)
Employment Type: Full-Time
NOTE - Must have taken care of team size of Minimum of 10 or more people and sole contributor required for this role.
ABOUT THE ROLE
We are seeking a highly skilled Lead Data Engineer to drive end-to-end data engineering initiatives, lead cross-functional teams, and deliver scalable, cloud-based data solutions. The ideal candidate will bring deep technical expertise, strong leadership, and the ability to collaborate effectively with global stakeholders in a fast-paced environment.
LEADERSHIP & TEAM MANAGEMENT
- Lead and mentor a team of onshore and offshore data engineers to ensure high-quality deliverables.
- Provide technical direction, coaching, and knowledge sharing to foster team growth and capability building.
- Establish and enforce engineering best practices, coding standards, and reusable frameworks.
- Champion innovation, continuous learning, and thought leadership within the data engineering function.
PROJECT DELIVERY & EXECUTION
- Oversee end-to-end project delivery, ensuring timely, high-quality execution aligned with project objectives.
- Define high-level solution designs, data architectures, and ETL/ELT frameworks for cloud-based data platforms.
- Drive development, code reviews, unit testing, and deployment to production environments.
- Ensure optimal performance, scalability, and reliability across data pipelines and systems.
STAKEHOLDER COMMUNICATION & COLLABORATION
- Collaborate with clients, product owners, business leaders, and offshore teams to gather requirements and define technical solutions.
- Communicate project updates, timelines, risks, and technical concepts effectively to both technical and non-technical stakeholders.
- Act as the primary point of contact for client technical discussions, solution design workshops, and progress reviews.
RISK & ISSUE MANAGEMENT
- Proactively identify project risks, dependencies, and issues; develop and execute mitigation plans.
- Ensure governance, compliance, and alignment with organizational standards and methodologies.
MUST-HAVE SKILLS
- 9+ years of experience in Data Engineering with proven experience in delivering enterprise-scale projects.
- Strong expertise in Big Data concepts, distributed systems, and cloud-native architectures.
- Proficiency in Snowflake, SQL, and a wide range of AWS services (Glue, EMR, S3, Aurora, RDS, Lambda, Step Functions).
- Hands-on experience with Python, PySpark, and building cloud-based microservices.
- Strong problem-solving, analytical skills, and end-to-end ownership mindset.
- Proven ability to work in Agile/Scrum environments with iterative delivery cycles.
- Exceptional communication, leadership, and stakeholder management skills.
- Demonstrated capability in leading onshore–offshore teams and coordinating multi-region delivery efforts.
GOOD-TO-HAVE SKILLS
- Experience with DevOps tools (Jenkins, Git, GitHub/GitLab) and CI/CD pipeline implementation.
- Experience with cloud migration and large-scale modernization projects.
- Familiarity with the US insurance/reinsurance domain + P&C Insurance knowledge.
- Knowledge of Data Vault 2.0 and modern data modeling techniques.
EDUCATIONAL QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
INTRODUCTION
We have immediate hiring for AWS Lead Data Engineer role which is Hybrid and need someone who is good in “hands-on” rather than just a lead or manager.
Position: AWS Lead Data Engineer
Experience Required: 12+ Years
Location: Jersey City, NJ (Hybrid 3 Days)
Employment Type: Full-Time
NOTE - Must have taken care of team size of Minimum of 10 or more people and sole contributor required for this role.
ABOUT THE ROLE
We are seeking a highly skilled Lead Data Engineer to drive end-to-end data engineering initiatives, lead cross-functional teams, and deliver scalable, cloud-based data solutions. The ideal candidate will bring deep technical expertise, strong leadership, and the ability to collaborate effectively with global stakeholders in a fast-paced environment.
LEADERSHIP & TEAM MANAGEMENT
- Lead and mentor a team of onshore and offshore data engineers to ensure high-quality deliverables.
- Provide technical direction, coaching, and knowledge sharing to foster team growth and capability building.
- Establish and enforce engineering best practices, coding standards, and reusable frameworks.
- Champion innovation, continuous learning, and thought leadership within the data engineering function.
PROJECT DELIVERY & EXECUTION
- Oversee end-to-end project delivery, ensuring timely, high-quality execution aligned with project objectives.
- Define high-level solution designs, data architectures, and ETL/ELT frameworks for cloud-based data platforms.
- Drive development, code reviews, unit testing, and deployment to production environments.
- Ensure optimal performance, scalability, and reliability across data pipelines and systems.
STAKEHOLDER COMMUNICATION & COLLABORATION
- Collaborate with clients, product owners, business leaders, and offshore teams to gather requirements and define technical solutions.
- Communicate project updates, timelines, risks, and technical concepts effectively to both technical and non-technical stakeholders.
- Act as the primary point of contact for client technical discussions, solution design workshops, and progress reviews.
RISK & ISSUE MANAGEMENT
- Proactively identify project risks, dependencies, and issues; develop and execute mitigation plans.
- Ensure governance, compliance, and alignment with organizational standards and methodologies.
MUST-HAVE SKILLS
- 9+ years of experience in Data Engineering with proven experience in delivering enterprise-scale projects.
- Strong expertise in Big Data concepts, distributed systems, and cloud-native architectures.
- Proficiency in Snowflake, SQL, and a wide range of AWS services (Glue, EMR, S3, Aurora, RDS, Lambda, Step Functions).
- Hands-on experience with Python, PySpark, and building cloud-based microservices.
- Strong problem-solving, analytical skills, and end-to-end ownership mindset.
- Proven ability to work in Agile/Scrum environments with iterative delivery cycles.
- Exceptional communication, leadership, and stakeholder management skills.
- Demonstrated capability in leading onshore–offshore teams and coordinating multi-region delivery efforts.
GOOD-TO-HAVE SKILLS
- Experience with DevOps tools (Jenkins, Git, GitHub/GitLab) and CI/CD pipeline implementation.
- Experience with cloud migration and large-scale modernization projects.
- Familiarity with the US insurance/reinsurance domain + P&C Insurance knowledge.
- Knowledge of Data Vault 2.0 and modern data modeling techniques.
EDUCATIONAL QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an Aws Data Engineer
Document your AWS certifications strategically
USCIS adjudicators assess specialty occupation partly through credentials. AWS Certified Data Engineer or Solutions Architect certifications strengthen your petition by tying your qualifications directly to the technical requirements of the role.
Target employers with active LCA filing history
Use Migrate Mate to filter AWS Data Engineer roles by verified DOL Labor Condition Application filings, so you're only applying to companies that have already committed to the H-1B sponsorship process for this occupation.
Verify your job description meets specialty occupation standards
USCIS requires that the role normally requires a bachelor's degree in a specific technical field. Confirm your offer letter and job duties reference cloud architecture, data pipeline design, or systems engineering, not generalist IT support.
Check prevailing wage tier before accepting an offer
Run your job title and work location through the OFLC Wage Search before signing. Your offered salary must meet the Level I through Level IV wage your employer certifies on the LCA, and mismatches can cause delays or RFEs.
Clarify remote work terms with your sponsoring employer
H-1B workers must have an LCA covering each worksite where they physically perform duties. If your AWS Data Engineer role is hybrid or involves travel to client sites, your employer needs to file a new or amended LCA for each location.
Start your cap-gap extension timeline early
If you're transitioning from OPT, your work authorization continues under cap-gap until October 1 only if your employer filed by the April 1 deadline. Confirm filing receipt dates with your employer before your EAD expiration date approaches.
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Find Aws Data Engineer JobsAws Data Engineer H-1B Visa: Frequently Asked Questions
Does an AWS Data Engineer role qualify as an H-1B specialty occupation?
Yes. AWS Data Engineer positions typically require a bachelor's degree or higher in computer science, information systems, or a related engineering field, which satisfies the USCIS specialty occupation definition. The role maps to SOC codes in the computer systems analyst and software developer categories. Your employer will confirm the degree requirement in the LCA and I-129 petition. Roles that allow any degree field or treat the degree as optional can face RFEs.
Which industries sponsor H-1B visas most often for data engineering roles?
Technology companies, financial services firms, healthcare systems, and large e-commerce operations file the highest volume of LCAs for data engineering roles. AWS-specific skills are particularly in demand at cloud-native startups and enterprises running large-scale ETL pipelines or real-time analytics infrastructure. You can search by industry and occupation on Migrate Mate to see which employers have active H-1B filing history for data engineering positions.
Can my employer amend my H-1B if my AWS Data Engineer role changes significantly?
Yes, and in many cases they're required to. If your job duties, work location, or salary change materially after your H-1B is approved, your employer must file an amended I-129 petition with USCIS before the change takes effect. Adding new cloud platforms, shifting from a data engineering role to a machine learning engineering role, or relocating to a new worksite all typically trigger an amendment requirement.
How does the H-1B lottery affect AWS Data Engineer candidates?
AWS Data Engineer roles are subject to the standard H-1B annual cap of 65,000 visas, plus 20,000 additional slots for U.S. master's degree holders. USCIS conducts a random lottery each spring when registrations exceed available numbers. If you're not selected, you can explore cap-exempt employers such as universities or nonprofit research organizations, or reregister the following year. Your employer can also assess O*NET-aligned roles that might qualify under different visa categories.
What happens to my H-1B if my sponsoring employer does a layoff or I'm terminated?
You have a 60-day grace period from your last day of employment to find a new H-1B sponsor, change to another valid status, or depart the U.S. A new employer must file an H-1B transfer petition before that window closes to maintain your lawful status and allow you to start work. USCIS does not extend this grace period, so starting your search immediately is critical. Use Migrate Mate to identify employers actively sponsoring H-1B roles matching your data engineering background.
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