OPT Database Engineer Jobs
Database Engineer jobs are a strong fit for F-1 OPT students with degrees in computer science, information systems, or data engineering. Most roles qualify as STEM OPT extensions, giving you up to 36 months of work authorization. Employers in this field regularly sponsor H-1B visas for high-performing database professionals.
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Get Access To All JobsINTRODUCTION
At Chewy, it is our mission to become the most trusted and convenient online destination for pet parents and our partners vets and service providers alike. Our success is measured by the happiness of the people and pets we serve, not simply by the amount of pet supplies we deliver. That’s why we continue to think of outside-the-Chewy-box ways to delight, surprise, and thank pet lovers who are dedicated to us! Chewy is seeking a Database Engineer II to join the PREF Analytics team and serve as the technical owner of the team's cloud data platform and infrastructure. This role will be responsible for designing, deploying, and maintaining scalable AWS-based data solutions that support forecasting, replenishment, procurement, and planning initiatives across the PREF org. The ideal candidate will bring strong experience in cloud infrastructure, database engineering, workflow orchestration, and data platform automation. This role will lead the migration of analytical models to AWS while establishing reliable, production-ready engineering frameworks that enable scalable data processing and analytics.
ROLE AND RESPONSIBILITIES
Design, deploy, and manage AWS infrastructure supporting analytical applications and data platforms.
Build, maintain, and optimize scalable data pipelines using Python, SQL, dbt, and Snowflake.
Develop, schedule, monitor, and troubleshoot Apache Airflow workflows for production data pipelines.
Administer and support Snowflake, Oracle, AWS, and Gatekeeper environments, ensuring platform reliability and performance.
Build and maintain dbt models, testing frameworks, and deployment processes to support trusted analytical datasets.
Configure and manage production job scheduling, orchestration, monitoring, alerting, and recovery processes.
Establish engineering best practices for data pipelines, workflow scheduling, and infrastructure management.
Partner with analysts and program managers to productionize analytical models and automate manual business processes.
Optimize database performance, troubleshoot production issues, and ensure high availability of critical data assets.
Develop reusable engineering frameworks that improve scalability, maintainability, and operational efficiency.
BASIC QUALIFICATIONS
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
4+ years of experience in database engineering, cloud infrastructure, or data engineering.
Strong experience with AWS services (S3, SageMaker, Airflow, Secrets Manager, and networking concepts).
Experience developing and maintaining Apache Airflow DAGs and production scheduling environments.
Hands-on experience with dbt, including model development, testing, documentation, and deployment.
Advanced SQL and Python development skills.
Experience supporting Snowflake and Oracle databases in production environments.
Experience building ETL/ELT pipelines and production-grade data architectures.
Familiarity with Git, CI/CD pipelines, infrastructure automation, and DevOps practices.
Strong troubleshooting, performance tuning, and production support experience.
PREFERRED QUALIFICATIONS
Experience supporting supply chain, forecasting, replenishment, procurement, or planning systems.
Experience with Infrastructure as Code (Terraform or CloudFormation).
Experience supporting enterprise scheduling and orchestration platforms.
Knowledge of Agile software development methodologies.
* Experience modernizing legacy applications into cloud-native architectures.
COMPENSATION
The base salary range for this role is $102,500 - $189,000.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
INTRODUCTION
At Chewy, it is our mission to become the most trusted and convenient online destination for pet parents and our partners vets and service providers alike. Our success is measured by the happiness of the people and pets we serve, not simply by the amount of pet supplies we deliver. That’s why we continue to think of outside-the-Chewy-box ways to delight, surprise, and thank pet lovers who are dedicated to us! Chewy is seeking a Database Engineer II to join the PREF Analytics team and serve as the technical owner of the team's cloud data platform and infrastructure. This role will be responsible for designing, deploying, and maintaining scalable AWS-based data solutions that support forecasting, replenishment, procurement, and planning initiatives across the PREF org. The ideal candidate will bring strong experience in cloud infrastructure, database engineering, workflow orchestration, and data platform automation. This role will lead the migration of analytical models to AWS while establishing reliable, production-ready engineering frameworks that enable scalable data processing and analytics.
ROLE AND RESPONSIBILITIES
Design, deploy, and manage AWS infrastructure supporting analytical applications and data platforms.
Build, maintain, and optimize scalable data pipelines using Python, SQL, dbt, and Snowflake.
Develop, schedule, monitor, and troubleshoot Apache Airflow workflows for production data pipelines.
Administer and support Snowflake, Oracle, AWS, and Gatekeeper environments, ensuring platform reliability and performance.
Build and maintain dbt models, testing frameworks, and deployment processes to support trusted analytical datasets.
Configure and manage production job scheduling, orchestration, monitoring, alerting, and recovery processes.
Establish engineering best practices for data pipelines, workflow scheduling, and infrastructure management.
Partner with analysts and program managers to productionize analytical models and automate manual business processes.
Optimize database performance, troubleshoot production issues, and ensure high availability of critical data assets.
Develop reusable engineering frameworks that improve scalability, maintainability, and operational efficiency.
BASIC QUALIFICATIONS
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
4+ years of experience in database engineering, cloud infrastructure, or data engineering.
Strong experience with AWS services (S3, SageMaker, Airflow, Secrets Manager, and networking concepts).
Experience developing and maintaining Apache Airflow DAGs and production scheduling environments.
Hands-on experience with dbt, including model development, testing, documentation, and deployment.
Advanced SQL and Python development skills.
Experience supporting Snowflake and Oracle databases in production environments.
Experience building ETL/ELT pipelines and production-grade data architectures.
Familiarity with Git, CI/CD pipelines, infrastructure automation, and DevOps practices.
Strong troubleshooting, performance tuning, and production support experience.
PREFERRED QUALIFICATIONS
Experience supporting supply chain, forecasting, replenishment, procurement, or planning systems.
Experience with Infrastructure as Code (Terraform or CloudFormation).
Experience supporting enterprise scheduling and orchestration platforms.
Knowledge of Agile software development methodologies.
* Experience modernizing legacy applications into cloud-native architectures.
COMPENSATION
The base salary range for this role is $102,500 - $189,000.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
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Get Access To All JobsTips for Finding OPT Sponsorship as a Database Engineer
Target companies with active STEM OPT hiring patterns
Financial services firms, healthcare systems, and enterprise software companies consistently hire database engineers on OPT. These industries rely on structured data infrastructure and are accustomed to sponsoring international talent through OPT and beyond.
Emphasize your STEM OPT extension eligibility upfront
Many hiring managers confuse standard 12-month OPT with the 36-month STEM extension. Clarify early that your degree qualifies for the extension, which gives employers a longer runway before needing to sponsor an H-1B.
Align your degree field with the job description
Database engineer roles typically require a degree in computer science, information systems, or a related STEM field. Confirm your degree classification matches before applying, as mismatches can create OPT eligibility complications with your DSO.
Highlight cloud database certifications on your resume
Certifications in AWS, Google Cloud, or Azure database services signal employer-ready skills and reduce training costs. Hiring managers at companies with H-1B sponsorship programs view certified OPT candidates as lower-risk, higher-value hires worth sponsoring.
Confirm your employer is E-Verify enrolled before accepting an offer
STEM OPT extensions require your employer to be enrolled in E-Verify. Ask HR to confirm enrollment status during negotiations, not after you sign. An employer that is not enrolled cannot legally employ you on a STEM extension.
Apply early relative to your OPT start date
Database engineer roles often involve multi-round technical interviews spanning three to six weeks. Starting your search at least three months before your OPT begins ensures you have authorization in hand when an offer comes through.
Database Engineer OPT: Frequently Asked Questions
Do database engineer roles qualify for the STEM OPT extension?
Most database engineer positions qualify for the 24-month STEM OPT extension if your degree is in computer science, information systems, computer engineering, or a closely related field. The role itself must also be directly related to your degree. Confirm your CIP code with your DSO before applying, as classification varies by university and degree program.
How do I find database engineer jobs that sponsor OPT students?
Migrate Mate is built specifically for F-1 OPT students and filters database engineer roles by sponsorship willingness, so you are not wasting applications on employers who will not hire international students. Searching through a general job board makes it difficult to identify OPT-friendly employers, whereas Migrate Mate surfaces those opportunities directly.
What happens to my OPT status if my database engineer contract ends early?
If your employment ends before your OPT authorization expires, you have a 60-day grace period to find new employment, transfer to a different visa status, or depart the United States. You should report the change to your DSO immediately. Unauthorized unemployment beyond 90 cumulative days on post-completion OPT violates your status and can affect future visa applications.
Can I work as a database engineer for multiple employers simultaneously on OPT?
Yes, OPT allows concurrent employment with multiple employers as long as each position is directly related to your degree field and each employer is E-Verify enrolled if you are on a STEM extension. You must work a minimum of 20 hours per week in total across all positions. Report all employers to your DSO to keep your SEVIS record accurate.
Do database engineer roles at startups typically sponsor H-1B visas after OPT?
Sponsorship at startups varies significantly. Early-stage companies often lack the legal infrastructure or budget for H-1B petitions, while Series B and later-stage startups frequently have established immigration programs. When evaluating an offer, ask directly whether the company has sponsored H-1B visas before and whether they have an immigration attorney on retainer or under contract.