Data Engineer I
| Company | Chewy |
|---|---|
| Location | Bellevue, WA, USA |
| Salary | $96000 – $153500 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Entry Level/New Grad, Junior |
Requirements
- Bachelor of Science or equivalent experience in Computer Science, Engineering, Information Systems or related field.
- Excellent verbal and written communication skills and the ability to explain details of complex concepts to non-expert partners in a simple and understandable way.
- Strong knowledge of SQL and relational databases
- Python programming skills for data processing and pipeline development
- Experience with ETL (Extract, Transform, Load) processes
- Basic knowledge of data warehousing concepts
- Familiarity with cloud platforms (especially AWS services like S3, Lambda, Airflow)
- Version control experience (Git)
- Current permanent U.S. work authorization is required
Responsibilities
- Develop and Maintain data pipelines to extract, transform, and load (ETL) data from various sources into our data lake.
- Configure custom data pipelines within Snowflake/AWS/Databricks for ingestion
- Maintain real-time alarming and debugging tools
- Design and implement solutions on a cloud platform using Infrastructure as code (Terraform)
- Maintain, support, and develop within the Supply Chain – Transportation Data Mart Snowflake instance, including code build/review, auditing, performance tuning, and security.
- Create and maintain technical user documentation and models for the Data Mart
Preferred Qualifications
- Experience of translating ambiguous customer requirements into clear problem definitions and delivering them.
- Design and execution experience of analytical projects.
- Experience with Python data libraries (pandas, numpy)
- Some exposure to big data technologies (Hadoop, Spark)
- Understanding of data modeling