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# Senior Data Engineer

- **Company:** Expert Technical Solutions
- **Location:** Norcross, GA, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Continuous Integration, Information Engineering, Data Files, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Warehousing, Dimensional Modeling, Distributed Data Store, Document-Oriented Databases, Python (Programming Language), Microsoft SQL Server, Peachtree (Accounting Software), Performance Tuning, Power BI, SQL Stored Procedures, Data Streaming, Transact-SQL, Unstructured Data, Data Processing, Apache Spark, Database Performance, Microsoft Fabric, Data Lakes, Information Technology, Data Pipelines
- **Published:** September 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=91e364194704e57e

## About the Role

* Bachelor's degree in Information Technology, Computer Science or equivalent experience
 * 3+ years of Data Engineering experience
 * Strong hands-on experience with Microsoft SQL Server, including T-SQL, stored procedures, and performance tuning.
 * Experience designing and implementing medallion architecture.
 * Solid experience with Power BI, including dataset modeling, DAX, and report optimization.
 * Proficiency in building and managing ETL/ELT processes using pipelines and Spark.
 * Strong understanding of modern data warehousing concepts and dimensional modeling.
 * Experience working with large datasets and distributed data systems.
 * Excellent problem-solving and communication skills.
 * Preferred: Experience with Microsoft Fabric.
 * Preferred: Experience with data lake technologies and modern data platforms.
 * Preferred: Knowledge of Python, Spark, or similar tools for data processing.
 * Preferred: Exposure to CI/CD practices for data pipelines.
 * Nice to have: Experience with real-time or streaming data pipelines.
 * Nice to have: Certifications related to data engineering or business intelligence tools.

## Description

· Design and implement data pipelines following medallion architecture principles.

· Develop, optimize, and maintain ETL/ELT processes for ingesting and transforming structured and unstructured data.

· Build and manage data models that support reporting and analytics in Power BI.

· Collaborate with business stakeholders, analysts, and data scientists to translate requirements into scalable data solutions.

· Ensure data quality, integrity, and governance across all layers of the data platform.

· Optimize database performance and troubleshoot issues in Microsoft SQL Server environments.

· Implement best practices for data security, access control, and compliance.

· Document data flows, architecture, and processes for maintainability and knowledge sharing.


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