Chewy
Data Engineer II
Boston, MA · Mid
Sponsorship not specified$111k-$176kDetected 39 days ago
PythonCode ReviewSQLRedshiftAWSCI/CDSparkAirflowData EngineeringAI OrchestrationSupply ChainLogisticsVendor ManagementCommunicationCollaborationProblem Solving
About the role
- 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.
- Work within established data architecture and orchestration patterns to extend ingestion pipelines and operational workflows.
Responsibilities
- 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.
- 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.
- Support ongoing improvements to pipeline scalability, maintainability, and operational excellence.
- Build High-Performing Teams
- Experience building or supporting production ETL/ELT pipelines.
- Experience partnering with BI or analytics teams to support reporting and operational metrics.
Requirements
- 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.
- Working knowledge of Python for data pipeline development and workflow orchestration.
- Hands-on experience with workflow orchestration tools such as Airflow.
- Familiarity with AWS data technologies such as S3, Glue, Lambda, Redshift, or Snowflake.
- What You'll Need Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience.
Nice to have
- 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.
- Chewy is an equal opportunity employer.
Compensation
- The base salary range for this role is $110,500 - $176,000.00.
Visa & Work Authorization
- 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,
This listing is sourced directly from Chewy's careers page and normalized into a canonical job model.