Software Engineer II

Chewy

Boston, MA

Full Time

Mid Level

29 days ago

Job Description

About the Role

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 our loyal pet lovers! Chewy is seeking a Software Engineer to join the team in Plantation, FL or Boston, MA. This role offers the opportunity to work with a full stack engineering team supporting behind-the-scenes operations, gaining exposure to Chewy's entire business, and working in a fast-paced, high-growth environment with immediate impact on the business.

Key Responsibilities

Develop internal tools and services to support the Data Science team in model development, experimentation, and deployment
Create or modify complex programs, modules, routines, scripts and data objects from a detailed design where efficiency, performance and reliability are critical
Write simple and sustainable code that reflects a deep understanding of our business and contributes meaningfully to the success of your team and delivery to our customers
Ensure that technical solutions follow best practices, are reliable, are easily maintainable and are scalable under sustained load
Participate in design and code reviews
Collaborate to identify, isolate and resolve malfunctions related to software
Conduct knowledge transition on solutions to the designated application support team(s)
Create and evolve application documentation as required
Operate in compliance with IT standards, policies, procedures, and best practices

Requirements

BS in Computer Science, Mathematics, Engineering, or Information Technology
Minimum 4+ years of full software development lifecycle experience including the ability to perform independent analysis
Strong proficiency in Python, including experience with libraries commonly used in Data Science workflows such as pandas, scikit-learn, fastparquet, pyarrow, or pyspark
Familiarity with Docker for containerization and creating reproducible, portable environments
Understanding of popular Data Science platforms and tools such as Jupyter Notebooks, Databricks, and MLflow
Ability to work with a range of data formats including CSV, Parquet, and Pickle (for model serialization)
Proficiency in querying and working with both SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, DynamoDB)
Familiarity with event-driven architectures, especially for triggering model training, inference pipelines, or data transformation workflows
Strong debugging, testing, and code quality practices, with an emphasis on building robust and reusable tooling
Must be team oriented and have a customer service approach
Strong Computer Science fundamentals including object-oriented design, data structures, algorithm design, and complexity analysis
Demonstrated ability to work with database and advanced SQL skills
Able to work in a fast-paced environment

Nice to Have

Experience developing tools, utilities, or automation to support Data Science model development, experimentation, and operationalization
Experience working with ETL pipelines, data lakes, and various data storage systems