OPT Aws Data Engineer Jobs
AWS Data Engineer jobs on OPT are available across tech, finance, and healthcare sectors, with most roles requiring CPT or OPT work authorization and a background in computer science, data engineering, or a related STEM field. Many employers actively file H-1B visa petitions for strong performers before OPT expires.
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Get Access To All JobsINTRODUCTION
Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry.
As an AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization’s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.
This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA
Responsibilities
Technology:
- Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.
- Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to.
- Diagnose and resolve issues with deployed systems (as part of level 3 support).
- Become technically solid for the cloud data platform.
- Evaluate and resolve technical debt, engage in platform modernization and build reliable features.
- Recommend and implement best practices and standards for the cloud data platforms.
People and Leadership:
- Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.
- Interface across multiple engineering teams and engineering groups working on various parts of the platform.
- Mentor and develop junior team members.
Process:
- Ensure efficient operation of Scrum within the team.
- Analyze and update tools and processes when required.
- Measure key team metrics.
QUALIFICATIONS
- Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered.
- 3+ years of experience in cloud data engineering.
- 2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.
- 1+ years working with ETL tools (MS SSIS or similar).
- Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).
- Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.
Additional experience that is a plus to have:
- AWS Certified Data Engineer – Associate
- AWS Certified Cloud Practitioner
- AWS Certified AI Practitioner
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
INTRODUCTION
Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry.
As an AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization’s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.
This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA
Responsibilities
Technology:
- Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.
- Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to.
- Diagnose and resolve issues with deployed systems (as part of level 3 support).
- Become technically solid for the cloud data platform.
- Evaluate and resolve technical debt, engage in platform modernization and build reliable features.
- Recommend and implement best practices and standards for the cloud data platforms.
People and Leadership:
- Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.
- Interface across multiple engineering teams and engineering groups working on various parts of the platform.
- Mentor and develop junior team members.
Process:
- Ensure efficient operation of Scrum within the team.
- Analyze and update tools and processes when required.
- Measure key team metrics.
QUALIFICATIONS
- Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered.
- 3+ years of experience in cloud data engineering.
- 2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.
- 1+ years working with ETL tools (MS SSIS or similar).
- Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).
- Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.
Additional experience that is a plus to have:
- AWS Certified Data Engineer – Associate
- AWS Certified Cloud Practitioner
- AWS Certified AI Practitioner
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
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Get Access To All JobsTips for Finding OPT Sponsorship as an Aws Data Engineer
Target STEM OPT-eligible roles
AWS Data Engineer positions fall under CIP codes for computer science and information technology, qualifying for the 24-month STEM OPT extension. Confirm your degree field matches before applying to maximize your authorized work period.
Prioritize employers with H-1B filing history
Focus on companies that have sponsored H-1B visas for data engineers in recent years. Firms with established immigration programs move faster and have dedicated legal counsel, reducing uncertainty around your post-OPT transition timeline.
Get AWS certifications before you apply
Holding an AWS Certified Data Engineer or Solutions Architect credential signals technical depth employers can justify to immigration attorneys when building your H-1B specialty occupation case. Certifications directly strengthen your petition.
Highlight cloud-scale pipeline experience
Employers sponsoring OPT students need to demonstrate the role requires specialized expertise. Document measurable work with Glue, Redshift, Kinesis, or Lake Formation at scale to build the specialty occupation narrative for future sponsorship.
Start sponsorship conversations early
Raise H-1B sponsorship in the offer negotiation stage, not six months before your OPT expires. Employers need lead time to engage immigration counsel and file before the April H-1B cap registration window opens each year.
Negotiate a STEM OPT training plan on day one
Your employer must complete a formal training plan to authorize your STEM extension. Align it to real AWS engineering deliverables from your first week so the documentation reflects genuine work, not a checkbox exercise.
Aws Data Engineer OPT: Frequently Asked Questions
Can I work as an AWS Data Engineer on OPT?
Yes, AWS Data Engineer roles qualify for F-1 OPT work authorization because they directly relate to STEM degree fields including computer science, information systems, and data science. Most positions also qualify for the 24-month STEM OPT extension, giving you up to three years of total authorized work before needing H-1B or another visa.
Do AWS Data Engineer employers typically sponsor H-1B visas?
Many do. AWS Data Engineering is classified as a specialty occupation requiring a bachelor's degree or higher in a specific technical field, which satisfies the core H-1B requirement. Large employers in cloud, fintech, and enterprise software sponsor regularly. To find companies with active sponsorship histories, browse AWS Data Engineer listings on Migrate Mate, which filters for OPT and H-1B sponsoring employers.
Which AWS services should I know to be competitive as an OPT candidate?
Employers hiring OPT candidates for AWS Data Engineer roles look for hands-on experience with Glue, Redshift, S3, Athena, Kinesis, and EMR. Familiarity with infrastructure-as-code tools like Terraform or AWS CDK, combined with Python or Spark, is increasingly expected at mid-level roles. Candidates who can demonstrate end-to-end pipeline ownership stand out against the broader applicant pool.
Does the AWS Data Engineer role qualify for the STEM OPT extension?
It qualifies if your underlying degree falls under an approved STEM CIP code, which includes computer science, information technology, data science, and most engineering disciplines. The role itself does not independently trigger the extension. Your DSO at your university confirms eligibility and issues the updated I-20. The extension must be filed before your current OPT EAD expires.
What should I look for in a job posting to confirm the employer will support my OPT?
Look for explicit language such as 'will sponsor work authorization,' 'OPT accepted,' or 'visa sponsorship available.' Postings that list 'must be authorized to work without sponsorship' or 'US citizen or green card only' mean the employer will not support you. Read the requirements section carefully before applying. Migrate Mate surfaces AWS Data Engineer listings specifically from employers open to OPT and visa sponsorship, saving you time.