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# Data Engineer II

- **Company:** Chewy, Inc.
- **Location:** Bellevue, WA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $144,640.0 - $180,500.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Computer Engineering, Continuous Integration, Information Engineering, Data Systems, Data Warehousing, Distributed Computing Environment, Python (Programming Language), Meta-Data Management, Amazon Simple Notification Service (SNS), Snowflake, Backend, Information Technology, Data Analytics, Amazon Simple Queue Service (SQS), Data Pipelines
- **Published:** July 23, 2026
- **Apply:** https://www.dice.com/job-detail/f0320a9d-7ee9-4927-be74-74178260a824

## About the Role

* Minimum Requirements: Bachelors degree in Industrial Engineering, Computer Science, Computer Engineering, or related field, and 5 years of experience as a Data Warehousing Specialists or a related position/occupation.
 * Alternative Requirements: Masters degree in Industrial Engineering, Computer Science, Computer Engineering, or related field, and 3 years of experience as a Data Warehousing Specialists or a related position/occupation.

 * Experience must include 3 years with:
 + Python;
 + Airflow;
 + AWS Services (SQS, SNS, S3, EC2, Glue, Glue catalog);
 + Distributed processing; and
 + Data modeling.
 * Experience must also include
 + Snowflake; and
 + CI/CD.

## Description

* Own the design, development, and maintenance of our end-to end data pipelines.
 * Tackle complex data issues to provide insights needed to accomplish our business goals and will develop data products for analytics and data scientist Team Members to boost their efficiency.
 * Assist in crafting Proof of Concepts and advise, consult, mentor and coach other data and analytic professionals on data standards and practices.
 * Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering to improve our efficiency as a team.
 * Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
 * Code, test, and detail new or modified data systems to build robust and scalable applications for data analytics as well as actively contribute to team discussions and initiatives, valuing diverse perspectives and encouraging a cooperative work atmosphere.
 * Responsible for data cataloging & documentation of data sources.
 * Meet with business partners and analytics teams to understand and solve data needs, short-term and medium-term.
 * Build trust with internal collaborators to encourage data-driven decision-making.
 * Partner with data engineering to grow the value of our data products by onboarding new data from our backend and 3rd party systems.


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