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# Sr. Data Engineer with Databricks, Python, Data Modeling

- **Company:** Amazon.com, Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Expert
- **Salary:** $131,300.0 - $237,350.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Validation, Information Engineering, Systems Analysis, Python (Programming Language), Operational Databases, Standard Sql, Azure Data Factory, Build Management, Microsoft Fabric, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** September 17, 2026
- **Apply:** https://www.careerjet.com/jobad/usc11133832fac8a2513aa1dc7ca5392d0

## About the Role

5-10 years of data engineering experience with a strong track record delivering production data pipelines in large enterprise environments.
Experience with Microsoft Fabric or Azure Synapse Analytics; familiarity with Fabric IQ and OneLake is a plus.
Proficiency with pipeline orchestration tools such as Azure Data Factory, Databricks Workflows, or Apache Airflow. Solid SQL skills for data validation, transformation logic, and ad-hoc source system analysis.

## Description

Data Engineer
The Data Engineer designs, builds, and operates the data pipelines and lakehouse data products that power intelligence across device supply chain, reverse logistics, procurement, network supply chain, and real-time control tower capabilities.
CORE RESPONSIBILITIES
Design and build production-grade data pipelines spanning source ingestion, bronze landing, silver transformation, and gold-layer data product delivery within the squad's domain scope.
Apply medallion architecture (bronze, silver, gold) and Fabric IQ certification standards consistently across all data product builds.
Collaborate with System Analysts to implement field-level transformations, business rule logic, and data quality checks as specified in product requirements documentation.