Our Opportunity
Chewy's newly formed Partner Fulfillment Technology team is building the data foundation that will power the next generation of vendor partnerships, delivery promise accuracy, inventory visibility, and operational reliability. As a Data Engineer II (C05), you will help build and support the pipelines, workflows, and foundational datasets that transform fragmented partner data into trusted operational insights for our Operations, Vendor Management, and BI teams. You will work within established architectural patterns and orchestration frameworks while contributing to the evolution and reliability of our rapidly scaling data ecosystem. This role is ideal for an engineer with strong SQL and data engineering fundamentals who is looking to grow deeper in distributed data workflows, orchestration, and operational data systems.
What You'll Do
- Build and maintain batch data pipelines and workflow orchestration using Airflow, AWS services, SQL, and Python.
- Develop and enhance datasets supporting partner fulfillment operations, inventory visibility, shipments, returns, and operational reporting.
- Work within established data architecture and orchestration patterns to extend ingestion pipelines and operational workflows.
- Monitor, solve, and optimize Airflow DAGs and data pipelines to improve reliability, observability, and operational performance.
- Implement data quality checks, validation logic, and alerting to ensure trustworthy downstream datasets.
- Partner with application engineering, BI, Operations, and Vendor Management teams to support operational and analytical use cases.
- Participate in root-cause analysis and operational support for production data workflows.
- Contribute to engineering procedures including testing, documentation, code reviews, and CI/CD processes.
- Support ongoing improvements to pipeline scalability, maintainability, and operational excellence.
What You'll Need
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience.
- 2+ years of professional experience in data engineering, analytics engineering, or related backend/data platform roles.
- Strong SQL skills and experience working with large-scale datasets.
- Working knowledge of Python for data pipeline development and workflow orchestration.
- Hands-on experience with workflow orchestration tools such as Airflow.
- Experience building or supporting production ETL/ELT pipelines.
- Familiarity with AWS data technologies such as S3, Glue, Lambda, Redshift, or Snowflake.
- Understanding of data modeling fundamentals, pipeline monitoring, and operational fixing.
- Strong problem-solving skills and willingness to learn in a fast-moving operational environment.
- Strong communication and collaboration skills.
Preferred Qualifications
- Experience in e-commerce, logistics, supply chain, fulfillment, or operational data environments.
- Familiarity with operational workflows involving orders, shipments, inventory, returns, or vendor operations.
- Exposure to distributed data processing tools such as Spark, Glue, or EMR.
- Experience supporting Airflow DAG operations, debugging failures, and managing scheduled workflows.
- Exposure to data quality or observability frameworks such as Great Expectations or Datadog.
- Experience partnering with BI or analytics teams to support reporting and operational metrics.
The base salary range for this role is $110,500 - $176,000.00.
- 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 [email protected].
To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Skills Required
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience.
- 2+ years professional experience in data engineering, analytics engineering, or related backend/data platform roles.
- Strong SQL skills and experience working with large-scale datasets.
- Working knowledge of Python for data pipeline development and workflow orchestration.
- Hands-on experience with workflow orchestration tools such as Airflow.
- Experience building or supporting production ETL/ELT pipelines.
- Familiarity with AWS data technologies such as S3, Glue, Lambda, Redshift, or Snowflake.
- Understanding of data modeling fundamentals, pipeline monitoring, and operational fixing.
- Experience with testing, documentation, code reviews, and CI/CD processes.
- Strong communication and collaboration skills.
- Problem-solving skills and willingness to learn in a fast-moving operational environment.
- Experience in e-commerce, logistics, supply chain, fulfillment, or operational data environments.
- Familiarity with operational workflows involving orders, shipments, inventory, returns, or vendor operations.
- Exposure to distributed data processing tools such as Spark, Glue, or EMR.
- Experience supporting Airflow DAG operations, debugging failures, and managing scheduled workflows.
- Exposure to data quality or observability frameworks such as Great Expectations or Datadog.
- Experience partnering with BI or analytics teams to support reporting and operational metrics.
What the Team is Saying
What We Do
Who We Are Chewy is where pet parents find everything they need for life with pets, from food to fun to pharmacy. We make pet care easier, more informed, and more joyful through fast, reliable delivery and award-winning 24/7 Customer Care, including access to pet health support when it’s needed. Founded in 2011, Chewy combines the convenience of online shopping with a high-touch, personalized experience built around the real moments of pet parenthood. Our Mission Chewy’s mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. What We Do We support pet parents through the highs, lows, and everyday moments of the pet parenting journey with: • Pet food, treats, and daily essentials • Supplies for dogs, cats, fish, birds, reptiles, equine, and small pets • Pharmacy and veterinary services, including prescriptions and medications • Pet wellness and health products • Autoship for convenient recurring deliveries • Chewy+, our premium membership offering exclusive savings, faster delivery, and personalized pet care benefits • 24/7/365 customer support from knowledgeable, pet-loving experts What Makes Chewy Different Chewy is known for industry-leading service, deep personalization, and our customer-obsessed culture. We combine trust, convenience, and care, and pet parents come to us for: • Exceptional customer care • Human- and pet-centered product and experience design • Fast, dependable fulfillment across a nationwide operations network • A mission-driven culture built on empathy, trust, and passion for pets Our Culture Chewy’s culture is built for people who thrive on ownership, innovation, and impact. We value curiosity, creativity, and continuous improvement across all our teams. We empower Team Members—our Chewtopians—to learn, grow, and unleash their full potential in a collaborative, supportive, mission-driven environment. How We Work Chewy’s Operating Principles guide how we think, innovate, collaborate, and execute. These principles shape our character, decision-making, and approach to delivering results while connecting our people and culture in support of our mission. Where We Work Chewy headquarters: Plantation, FL, and Boston, MA Additional hubs: Bellevue, WA, and Minneapolis, MN
Why Work With Us
Why You Should Work at Chewy Chewy is a unique, fast-growing e-commerce and tech leader where builders, creators, and problem-solvers shape the future of pet care. Our teams drive innovation in a mission-driven culture that creates real impact for pets and the people who love them.
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Employees engage in a combination of remote and on-site work.
