Senior SQL BI Developer

Salary: $105,000 - 145,000 per year Requirements:

• Proven experience as an SQL ETL Developer or in a similar role
• Strong SQL skills and experience with ETL tools such as SSIS, Informatica, or Talend
• Experience with data warehousing concepts and technologies
• Knowledge of database management systems such as SQL Server, Oracle, or MySQL
• Familiarity with data visualization tools such as Tableau or Power BI
• Knowledge of scripting languages such as Python, shell scripting, or C#
• Hands-on experience with Windows Scheduler and batch file processing
• Strong problem-solving and analytical abilities
• Excellent communication and collaboration skills
• Ability to work independently and as part of a team

• Design, develop, and maintain ETL processes using SQL and ETL tools
• Extract, transform, and load data from various sources into data warehouses and data marts
• Implement data validation and error-handling mechanisms
• Design, develop, and maintain SQL databases and queries
• Write and optimize complex SQL queries for data extraction and reporting
• Automate SSIS packages using SQL Agent
• Develop stored procedures, functions, and triggers to support application development
• Tune ETL processes for performance and scalability
• Monitor and troubleshoot databases to support availability and performance
• Monitor and troubleshoot ETL processes to maintain data accuracy and integrity
• Collaborate with data analysts, data scientists, and other stakeholders to understand data needs and support data quality
• Document ETL processes and data flows
• Participate in code reviews and provide feedback on best practices
• Keep current with industry trends and best practices in ETL and data integration

• C#
• ETL
• Informatica
• Support
• MySQL
• Oracle
• Power BI
• Python
• SQL
• SSIS
• Tableau
• Talend
• Windows

More:

We are hiring a Senior SQL BI Developer for a W-2 contract role based in Jersey City, New Jersey, with a hybrid work arrangement. In this role, you will support our data integration and warehousing needs, working with data analysts, data scientists, and other stakeholders to ensure data is processed accurately and efficiently and is available for analysis.

last updated 42 week of 2026