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# Data Engineer

- **Company:** Conch Technologies
- **Location:** Orlando, FL, United States
- **Experience:** Expert
- **Salary:** $50,700.0 - $91,650.0
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Business Analytics Applications, Microsoft Azure, Big Data, BigQuery, Cloud Database, Computer Programming, Databases, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Dataspaces, Data Warehousing, Distributed Computing Environment, Python (Programming Language), Performance Tuning, Power BI, Cloud Services, Azure Data Lake, SQL Databases, Enterprise Data Management, Data Processing, Enterprise Software Applications, Azure Data Factory, Snowflake, Microsoft Fabric, Azure Synapse Analytics, Data Pipelines
- **Published:** August 16, 2026
- **Apply:** https://www.careerjet.com/jobad/us60e0c9018eee39fa23682a750f817f61

## About the Role

* 8+ years of Data Engineering experience designing and supporting enterprise data platforms.
 * Strong hands-on experience building ETL/ELT pipelines and data integration solutions.
 * Experience with Microsoft Fabric including Data Factory, OneLake, Lakehouse, and Data Warehouse.
 * Proficiency in SQL for complex data transformation, optimization, and performance tuning.
 * Strong programming skills in Python, Scala, or similar languages for data processing.
 * Experience with Azure Data Lake, cloud data platforms, and modern data ecosystems.
 * Experience building scalable data warehouses, lakehouses, and analytics platforms.
 * Strong understanding of relational, dimensional, and enterprise data modeling concepts.
 * Hands-on experience with data orchestration tools such as Azure Data Factory or Fabric Data Factory.
 * Experience integrating data from APIs, databases, flat files, and enterprise applications.
 * Knowledge of big data technologies and distributed data processing frameworks.
 * Experience supporting Power BI reporting, self-service analytics, and business intelligence initiatives.

Preferred Skills:

 * Strong experience with Microsoft Azure and Microsoft Fabric ecosystem.
 * Experience with Azure Synapse, Snowflake, BigQuery, or similar cloud data warehouses.



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