Data Engineer I
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Job Location:
Boston, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
3 days ago
Vacancies:
1 Vacancy
Job Summary
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 builderlearning 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 Youll 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 Youll 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 Youll 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.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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