CIT Group Inc.

AVP, Data Engineering Developer (ETL Lead)

Location US-NJ-Morristown | US-FL-Jacksonville
Job ID
# Positions
Job Family
Information Technology - IT Development


CIT is a leading national bank focused on empowering businesses and personal savers with the financial agility to navigate their goals. CIT Group Inc. (NYSE: CIT) is a financial holding company with over a century of experience and operates a principal bank subsidiary, CIT Bank, N.A. (Member FDIC, Equal Housing Lender). The company's commercial banking segment includes commercial financing, community association banking, middle market banking, equipment and vendor financing, factoring, railcar financing, treasury and payments services, and capital markets and asset management. CIT's consumer banking segment includes a national direct bank and regional branch network. Discover more at


• Develop and maintain complex source code for all SSIS ETL packages within the Data and BI organization
• Provide advanced code handling for difficult data scenarios
• Oversee the deployment of all SSIS projects adhering to proper SDLC methodology and change management tools.
• Ensure the technical specifications of the design meet the stakeholders needs of the data organization
• Track and perform quality checks using best practices and iterative development methods (AGILE SDLC)
• Participate in project planning discussions that relate to data models that may be utilized for building data warehouse or data marts
• Build the tables for the physical data model and continue to evolve it to a working state and continue to refine it to meet project needs
• Review and monitor database maintenance and performance related topics


• 5+ years experience in writing and maintaining SSIS ETL packages
• Working knowledge of technologies and coding languages such as C#, Transact SQL, VB.NET, API (SOAP/REST), and XML
• Intermediate to advanced SQL writing skills
• Working knowledge of reporting tools such as Tableau, SSRS and Power BI is preferred
• Bachelor’s (required) or Master’s (preferred) degree in a quantitative field (Business Intelligence, IT, Computer Science, Mathematics, Economics, Finance, Accounting)


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