Data Engineer I

Our Opportunity:
Chewyʼs AI & Data organization is seeking a Data Engineer I to join the Enterprise Data Systems (EDS) team. EDS powers the trusted, governed, and intelligent data foundation that fuels analytics, machine learning, and AI across Chewy.
As a Data Engineer I, youʼll build your skills as an apprentice data builder-learning how to design, test, and deliver the data pipelines that make insights and AI possible. Youʼll work closely with experienced engineers to gain deep exposure to Chewyʼs modern data stack, Snowflake, dbt Cloud, Kafka, AWS, and Tableau, while developing your technical and problem-solving foundation.
Weʼre looking for teammates who are endlessly curious, passionate about learning, and excited about how data and AI can transform customer and business experiences.
What You'll Do:

• • Build and maintain small-scale ingestion and transformation pipelines under mentorship from senior engineers.• Write clean, well-documented SQL and Python for data preparation, validation, and automation.• Learn and apply dbt Cloud modeling concepts for structured, testable, and auditable data development.• Monitor data quality and pipeline performance; assist in triaging and resolving basic issues.• Participate in code reviews to understand design principles, version control, and testing best practices.• Collaborate with analytics and data science teams to deliver well-structured, reliable datasets.• Grow familiarity with Kafka streaming, data observability, and cloud infrastructure fundamentals.• Maintain documentation for data catalog and objects you own; contribute basic unit tests for pipeline code.• Continuously learn about AI, automation, and how they are reshaping data engineering.

What You'll Need:

• 0-2 years of professional experience in data engineering, analytics engineering, or a related technical field.
• Proficiency in SQL and working familiarity with Python.
• Basic understanding of cloud data warehouses (Snowflake, Redshift, or BigQuery preferred).
• Working familiarity with Terraform so you can read modules and safely make small, reviewed plan/apply changes (variables, remote state) toAWS/Snowflake resources under mentorship.
• Curiosity about dbt, Kafka, and modern orchestration frameworks.
• A learning mindset with a passion for AI, data-driven decision-making, and continuous improvement.
• Clear communication, eagerness to ask questions, and openness to feedback.

Why You'll Love This Role:

• Learn directly from experience data engineers in a collaborative, AI-driven environment.
• Gain hands-on experience with one of the most modern enterprise data stacks in retail.
• Contribute to projects that power real business insights and customer experiences.
• Build a foundation for a long-term career in data, AI, and intelligent systems.

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.
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.
Base Salary Range
$96,000-$153,500 USD
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 [email protected].
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