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# Azure Data Engineer

- **Company:** American CyberSystems
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $114,400.0 - $124,800.0
- **Contract:** Permanent contract
- **Skills:** Information Engineering, Data Integrity, Azure Data Lake, SAP (Applications), SAP NetWeaver Business Warehouse, SQL Databases, Azure Data Factory, Azure Synapse Analytics, Data Pipelines, Serverless Computing
- **Published:** August 18, 2026
- **Apply:** https://public-rest34.bullhornstaffing.com/rest-services/2WXP1S/query/JobBoardPost?where=id=1022824&fields=id,title,publishedCategory(id,name),address(city,state),employmentType,dateLastPublished,publicDescription,isOpen,isPublic,isDeleted

## About the Role

* 2-5 years of Technical Experience in data engineering or closely related development roles.
 * Hands-on building and supporting pipelines in Azure Data Factory (ADF) and transformations in Azure Synapse Analytics (Synapse workspace, dedicated SQL pools vs. serverless SQL, integration pipelines, Synapse Studio usage)
 * Implements data models (e.g., star schemas, SCD patterns) from established standard documents datasets.
 * Basic data quality checks and troubleshooting; collaborates with senior engineers for root-cause analysis.
 * SAP familiarity preferred (can interpret SAP-sourced fields/keys; works with BW/functional partners), including SAP BW Concepts: Data models (InfoCubes, DSOs, CompositeProviders), extraction mechanisms (Open Hub, ODP), BW Queries, The ideal candidate will have: Hands-on building and supporting pipelines in Azure Data Factory (ADF) and transformations in Azure Synapse Analytics (Synapse workspace, dedicated SQL pools vs. serverless SQL, integration pipelines, Synapse Studio usage).

## Description

Azure Data Engineer to work under client's direction to perform the required technical duties for the data engineering work. Examples of such work and objectives that will be executed by the Azure Data Engineer include: - Ingesting data from the Buyer's legacy SAP platform into the Azure data lake using Azure Synapse - Ingest and model all in-scope legacy analytics datasets to the target platform, including required metadata, available lineage, and documented business rules, while preserving data integrity and maximizing data quality as verified through agreed validation, reconciliation, and acceptance testing demonstrating that the migrated data is complete, accurate, and consistent with the source.


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