Chewy
Data Engineer II
Boston, MA · Mid
Sponsorship not specified$111k-$176kDetected 125 days ago
PythonCode ReviewSQLRedshiftAWSCI/CDSparkAirflowData EngineeringAI OrchestrationSupply ChainLogisticsVendor ManagementCommunicationCollaborationProblem Solving
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odds of building a lasting career here
52Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role72
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 94 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card follow-through: 44%
Of 75 labor certifications old enough to have been used, 42 expired without the employer filing the next step. Median time from filing to decision: 488 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
24 transfer filings in the last year, covering 24 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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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.
- Deliver Results
- Build High-Performing Teams
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.
- Experience supporting Airflow DAG operations, debugging failures, and managing scheduled workflows.
Skills
- Strong SQL skills and experience working with large-scale datasets.
- Strong problem-solving skills and willingness to learn in a fast-moving operational environment.
- Strong communication and collaboration skills.
- Exposure to distributed data processing tools such as Spark, Glue, or EMR.
- Exposure to data quality or observability frameworks such as Great Expectations or Datadog.
Compensation
- The base salary range for this role is $110,500 - $176,000.00.
Company info
- Customers First
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.