Data Engineer​/Developer

This range is provided by The Judge Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$53.00/hr - $57.00/hr

Location:

Charlotte, NC (Hybrid – 3 days in office)

12-24 Month Contract

Rate: $53-$57 W2 Only - No C2C

We are seeking a highly skilled Data Engineer to design, build, and maintain robust data pipelines and integration workflows using SQL Server, SSIS, and Microsoft Fabric. This role is critical to enabling secure, scalable, and high-performance data solutions that support cybersecurity metrics, reporting, and automation initiatives.

Key Responsibilities:

· Design and implement ETL pipelines using SSIS and SQL Server to support data ingestion, transformation, and delivery across cybersecurity platforms.

· Develop and optimize data workflows within the Microsoft Fabric ecosystem, including Azure Data Factory, Synapse Analytics, and One Lake.

· Collaborate with data analysts, architects, and cybersecurity SMEs to translate business requirements into scalable data solutions.

· Maintain and enhance SSIS packages, including deployment, configuration, and job scheduling via SQL Server Agent.

· Participate in database migration and modernization efforts, including Always On configurations and cross-data center replication.

· Ensure data quality, integrity, and lineage through rigorous validation, logging, and monitoring practices.

· Support hybrid cloud deployments and integration between on-premises SQL environments and Microsoft Fabric services.

· Document data models, workflows, and operational procedures for QA, audit and knowledge transfer.

Required Qualifications

· 5+ years of experience in data engineering with a focus on SQL Server and SSIS.

· Hands-on experience with Microsoft Fabric components such as Azure Data Factory, Synapse, and Data Lake.

· Strong SQL skills, including performance tuning, stored procedures, and job automation.

· Experience with enterprise-scale ETL processes and data warehousing.

· Familiarity with data governance, security, and compliance in regulated environments.

· Financial services experience specifically big banks.

Preferred Qualifications

· Experience with Spark SQL, PySpark, or Databricks within Microsoft Fabric.

· Exposure to Dev Ops practices, including CI/CD pipelines for data workflows.

· Knowledge of structured streaming and real-time data processing.

· Familiarity with metadata management and data cataloging tools.

Tools & Technologies

· Microsoft Fabric (Azure Data Factory, Synapse, One Lake)

· Power Shell, Python (for automation and validation)

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Contract

• Job function
  
  Information Technology

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