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# Sr Data Engineer

- **Company:** American CyberSystems
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,800.0 - $135,200.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Database, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Mining, Data Systems, Data Warehousing, Performance Tuning, SQL Databases, Freeform SQL, Snowflake, Tools for Reporting, Data Pipelines
- **Published:** September 26, 2026
- **Apply:** https://public-rest34.bullhornstaffing.com/rest-services/2WXP1S/query/JobBoardPost?where=id=1025045&fields=id,title,publishedCategory(id,name),address(city,state),employmentType,dateLastPublished,publicDescription,isOpen,isPublic,isDeleted

## About the Role

The ideal candidate will have: AWS, Snowflake, SQL Query, Requirement Gathering, Healthcare Domain Experience., * Advanced experience with AWS services and cloud-based data engineering.

 * Advanced expertise in Snowflake Data Warehouse.
 * Advanced SQL development and performance tuning skills.
 * Strong experience in requirements gathering and stakeholder engagement.
 * Experience working within the Healthcare domain.
 * Strong analytical and problem-solving abilities.

Preferred Skills & Qualifications

 * 5+ years of Data Engineering experience.
 * Experience with ETL/ELT development and data modeling.
 * Knowledge of healthcare data workflows and reporting requirements.
 * Exposure to Azure cloud services is a plus.

## Description

* Design, develop, and maintain scalable data pipelines using AWS and Snowflake.
 * Write and optimize complex SQL queries for data extraction, transformation, and analysis.
 * Gather and document business and technical requirements from stakeholders.

Day to Day Responsibilities:

 * Implement data integration, data warehousing, and reporting solutions.
 * Ensure data quality, security, and performance across platforms.
 * Collaborate with business, analytics, and engineering teams to deliver data solutions.
 * Support healthcare data initiatives while ensuring compliance with industry standards and best practices.


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