Senior ETL SSIS Engineer - Data Integration & Performance

Matrix IT Ltd; Jacksonville (FL); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

None

Job summary

Matrix IT Ltd is seeking an experienced ETL SSIS Developer in Jacksonville, FL to design, develop, and optimize enterprise data pipelines. You will work with SSIS, T-SQL, and SQL Server, applying best practices in data quality, security, and deployment.

Collaboration with business and data teams is essential for translating requirements into scalable data solutions. The role emphasizes modern data architecture, DevOps, andCI/CD practices, with opportunities to leverage AI-assisted coding tools

Qualifications

• Strong hands-on experience with Microsoft SSIS and SQL Server.
• T-SQL development including stored procedures, functions, views, and complex queries.
• Experience in SQL performance tuning, execution plans, and indexing.
• Experience deploying enterprise-scale ETL pipelines and data workflows.
• Familiarity with version control, automated testing, and database CI/CD.

Responsibilities

• Design, develop, optimize, and maintain enterprise ETL pipelines using SSIS.
• Develop high-quality T-SQL code including stored procedures, views, and functions.
• Analyze and optimize query performance via execution plans and indexing.
• Implement robust error handling, logging, and data validation to ensure data quality.
• Apply secure development practices and data security best practices.
• Collaborate with stakeholders and data teams to translate requirements into solutions.

Skills

SSIS

T-SQL

SQL Server

Performance Tuning

Data Modeling

Data Security

CI/CD

Git

AI Tools

Tools

Talend Data Integration

GitHub Copilot

Job description

Matrix IT Ltd is seeking an experienced ETL SSIS Developer in Jacksonville, FL to design, develop, and optimize enterprise data pipelines. You will work with SSIS, T-SQL, and SQL Server, applying best practices in data quality, security, and deployment.

Collaboration with business and data teams is essential for translating requirements into scalable data solutions. The role emphasizes modern data architecture, DevOps, andCI/CD practices, with opportunities to leverage AI-assisted coding tools