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# Data Engineer

- **Company:** @WORK
- **Location:** Orlando, FL, United States
- **Experience:** Experienced
- **Salary:** $100,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Big Data, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Document-Oriented Databases, Python (Programming Language), Power BI, Cloud Services, Standard Sql, Data Lakes, Information Technology, Software Version Control, Data Pipelines
- **Published:** November 8, 2026
- **Apply:** https://www.thejobnetwork.com/job/228dc929-b148-4bdd-a0a2-3c8dd897203a/data-engineer

## About the Role

* Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent professional experience)
 * 2+ years in data engineering or analytics engineering
 * Proficiency in programming languages such as Python
 * Strong SQL and relational database management skills
 * Experience designing and implementing data pipelines
 * Solid understanding of data warehousing concepts and architectures
 * Excellent problem-solving and analytical skills
 * Strong communication and teamwork abilities

Preferred:

 * Experience with cloud data platforms ( Azure)
 * Power BI and Dax
 * Multi entity Financial Data
 * Exposure to Fabric or a comparable cloud data platform, and comfort working in source control

## Description

About This Opportunity: We are seeking a skilled Data Engineer to join our growing technology team. This is an exciting opportunity to design and build robust data infrastructure that powers critical business decisions and drives organizational success. You will work with modern data technologies and collaborate with cross-functional teams to create scalable, efficient data solutions.
Job Summary: The Data Engineer will be responsible for designing, developing, and maintaining data pipelines and infrastructure that support analytics, reporting, and business intelligence initiatives. This role focuses on ensuring data quality, reliability, and accessibility across the organization while working with large datasets and complex data systems., * Design and develop data pipelines and ETL (Extract, Transform, Load) processes

 * Build and maintain data warehouses and data lakes
 * Ensure data quality, integrity, and security across systems
 * Collaborate with data analysts, scientists, and business stakeholders to understand data requirements
 * Document data architecture, processes, and system designs