Data Engineer Jobs at Chewy with Visa Sponsorship
Chewy's data engineering teams build the pipelines and infrastructure that power one of the largest pet retail platforms in the U.S. The company has a consistent track record of sponsoring work visas for Data Engineers, supporting candidates from offer through long-term immigration filings.
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Get Access To All JobsOur Opportunity
Chewy's AI & Data organization is seeking a Data Engineer III to lead the design and evolution of Chewy's enterprise data ecosystem. EDS powers the company's data and AI foundation—enabling machine learning, advanced analytics, and generative AI applications that improve customer experience and operational efficiency at scale. As a Data Engineer III, you'll be a system-level designer and mentor—architecting scalable data systems, establishing engineering standards, and guiding others in building for performance, cost, and reliability. You'll collaborate across AI, data science, and platform engineering to deliver trusted, intelligent data products that serve as the backbone for Chewy's next generation of data and AI capabilities.
- Architect and deliver large-scale, cross-domain data solutions in Snowflake, dbt Cloud, Kafka, and AWS.
- Design systems for real-time streaming, AI feature pipelines, and event-driven architectures.
- Establish data engineering standards for modeling, testing, observability, and cost optimization.
- Lead modernization and automation initiatives, including AI-assisted data validation, metadata enrichment, and auto-documentation.
- Evaluate emerging technologies and advocate for practical adoption that improves velocity, reliability, or insight generation.
- Mentor engineers across levels through code reviews, design sessions, and technical coaching.
- Collaborate with architects and data science teams to align data infrastructure with ML, analytics, and AI requirements.
- Champion a culture of continuous learning and experimentation with AI in engineering workflows.
- Set parameters for quality control and perform error analysis to improve models; lead code reviews and guide secure coding practices.
- Candidate must possess a Bachelor’s degree in Computer Science, Data Engineering or a related field, or equivalent experience
- 6+ years of experience in data engineering or platform development.
- Expert-level proficiency in Python and SQL.
- Deep experience with Snowflake, dbt Cloud, and streaming technologies like Kafka.
- Proven ability to design large-scale architectures with strong performance, cost, and reliability characteristics.
- Advanced Terraform skills—design reusable modules and multi-account environments for AWS/Snowflake, implement policy-as-code and drift detection, and lead code reviews/migrations.
- Experience defining standards and practices for data quality, lineage, and observability.
- Strong understanding of real-time and AI/ML data pipelines.
- Track record of mentorship, technical leadership, and cross-functional influence.
- Curiosity and conviction about how AI will redefine data engineering—and the desire to lead that change.
Why You'll Love This Role
- Shape the evolution of Chewy's enterprise data and AI platform.
- Lead large-scale projects that unlock speed, trust, and intelligence in every corner of the company.
- Mentor others and elevate engineering standards across the AI & Data organization.
- Work on the frontier of data and AI—driving innovations that transform how Chewy operates and serves millions of pet parents.
The base salary range for this role is $118,500 - $207,000.
- 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.
Our Opportunity
Chewy's AI & Data organization is seeking a Data Engineer III to lead the design and evolution of Chewy's enterprise data ecosystem. EDS powers the company's data and AI foundation—enabling machine learning, advanced analytics, and generative AI applications that improve customer experience and operational efficiency at scale. As a Data Engineer III, you'll be a system-level designer and mentor—architecting scalable data systems, establishing engineering standards, and guiding others in building for performance, cost, and reliability. You'll collaborate across AI, data science, and platform engineering to deliver trusted, intelligent data products that serve as the backbone for Chewy's next generation of data and AI capabilities.
- Architect and deliver large-scale, cross-domain data solutions in Snowflake, dbt Cloud, Kafka, and AWS.
- Design systems for real-time streaming, AI feature pipelines, and event-driven architectures.
- Establish data engineering standards for modeling, testing, observability, and cost optimization.
- Lead modernization and automation initiatives, including AI-assisted data validation, metadata enrichment, and auto-documentation.
- Evaluate emerging technologies and advocate for practical adoption that improves velocity, reliability, or insight generation.
- Mentor engineers across levels through code reviews, design sessions, and technical coaching.
- Collaborate with architects and data science teams to align data infrastructure with ML, analytics, and AI requirements.
- Champion a culture of continuous learning and experimentation with AI in engineering workflows.
- Set parameters for quality control and perform error analysis to improve models; lead code reviews and guide secure coding practices.
- Candidate must possess a Bachelor’s degree in Computer Science, Data Engineering or a related field, or equivalent experience
- 6+ years of experience in data engineering or platform development.
- Expert-level proficiency in Python and SQL.
- Deep experience with Snowflake, dbt Cloud, and streaming technologies like Kafka.
- Proven ability to design large-scale architectures with strong performance, cost, and reliability characteristics.
- Advanced Terraform skills—design reusable modules and multi-account environments for AWS/Snowflake, implement policy-as-code and drift detection, and lead code reviews/migrations.
- Experience defining standards and practices for data quality, lineage, and observability.
- Strong understanding of real-time and AI/ML data pipelines.
- Track record of mentorship, technical leadership, and cross-functional influence.
- Curiosity and conviction about how AI will redefine data engineering—and the desire to lead that change.
Why You'll Love This Role
- Shape the evolution of Chewy's enterprise data and AI platform.
- Lead large-scale projects that unlock speed, trust, and intelligence in every corner of the company.
- Mentor others and elevate engineering standards across the AI & Data organization.
- Work on the frontier of data and AI—driving innovations that transform how Chewy operates and serves millions of pet parents.
The base salary range for this role is $118,500 - $207,000.
- 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 Data Engineer Jobs at Chewy Jobs
Align your portfolio to retail data problems
Chewy's data engineering roles focus heavily on supply chain pipelines, customer behavior data, and inventory systems. Projects demonstrating experience with high-volume transactional data or e-commerce event streams will resonate more than generic ETL work.
Clarify sponsorship scope before accepting
Chewy supports multiple visa pathways, but not every team or role level authorizes all filing types. Ask your recruiter explicitly whether the role covers both H-1B and PERM-based Green Card sponsorship before you reach the offer stage.
Highlight cloud-native and warehouse experience in your resume
Chewy's engineering stack leans on cloud infrastructure and modern data warehousing. Specific experience with tools like Spark, Airflow, or Snowflake signals direct day-one fit and strengthens the specialty occupation case your employer builds for DOL and USCIS.
Search for open Data Engineer roles on Migrate Mate
Filter by sponsor type to surface Chewy's active Data Engineer postings alongside verified sponsorship history. This lets you prioritize applications where the company has already demonstrated willingness to file for this specific role category.
Request your LCA details after receiving an offer
Your employer must file a Labor Condition Application with the DOL before submitting your H-1B petition. Reviewing the certified LCA confirms your posted wage, work location, and job title are accurately reflected before USCIS filing begins.
Data Engineer at Chewy jobs are hiring across the US. Find yours.
Find Data Engineer at Chewy JobsFrequently Asked Questions
Does Chewy sponsor H-1B visas for Data Engineers?
Yes, Chewy sponsors H-1B visas for Data Engineer roles. The company has an established process for filing petitions through USCIS, covering both initial cap-subject registrations for candidates on F-1 OPT and extensions for those already holding H-1B status. Confirming sponsorship with your specific recruiter is still recommended, as approval can vary by team and seniority level.
Which visa types does Chewy commonly sponsor for Data Engineers?
Chewy sponsors H-1B, TN, and F-1 OPT and CPT for Data Engineers, and also supports EB-2 and EB-3 Green Card pathways for longer-term employees. TN is available to Canadian and Mexican nationals in qualifying engineering roles. The specific pathway offered to you will depend on your nationality, current immigration status, and the role's seniority.
What qualifications does Chewy expect for Data Engineer roles?
Most Data Engineer postings at Chewy require a bachelor's degree or higher in computer science, engineering, or a related technical field. Practical experience with distributed data pipelines, SQL, Python, and cloud platforms is consistently expected. Roles supporting Chewy's retail operations often also look for familiarity with large-scale transactional or clickstream data environments.
How do I apply for Data Engineer jobs at Chewy?
You can browse and apply for Data Engineer positions at Chewy through Migrate Mate, which surfaces roles with confirmed sponsorship history so you're not wasting time applying to positions where visa support is uncertain. When you apply directly, Chewy's recruiting team typically screens for technical fit first, followed by a system design and coding assessment before moving to offer and immigration discussions.
How do I plan my timeline if I need H-1B sponsorship at Chewy?
If you're on F-1 OPT, USCIS's H-1B cap registration window opens in March for an October 1 start date. You'll need to be employed or have an offer in place before your employer can register you. Starting conversations with Chewy's recruiting team in the fall or winter before your intended start gives both sides enough runway to prepare the petition and LCA filing with the DOL.
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