CBTS serves enterprise and midmarket clients in all industries across the United States and Canada. CBTS combines deep technical expertise with a full suite of flexible technology solutions--including Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, CBTS delivers comprehensive technology solutions for its clients' transformative business initiatives. For more information, please visit www.cbts.com.

OnX is a leading technology solution provider that serves businesses, healthcare organizations, and government agencies across Canada. OnX combines deep technical expertise with a full suite of flexible technology solutions—including Generative AI, Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, OnX delivers comprehensive technology solutions for its clients’ transformative business initiatives. For more information, please visit www.onx.com.

Off-Shore Contract Data Engineering Role that MUST work out of an approved Clean Room facility. The role is part of an Agile Team in support of Financial Crimes data platforms and strategies, including but not limited to their use of SAS Grid and SnowFlake.

JOB SUMMARY
Handle the design and construction of scalable data management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used. Primary Responsibilities:

• Design, construct, install, test and maintain data management systems.
• Build high-performance algorithms, predictive models, and prototypes.
• Ensure that all systems meet the business/company requirements as well as industry practices.
• Integrate up-and-coming data management and software engineering technologies into existing data structures.
• Develop set processes for data mining, data modeling, and data production.
• Create custom software components and analytics applications.
• Research new uses for existing data.
• Employ an array of technological languages and tools to connect systems together.
• Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project’s goals.
• Install/update disaster recovery procedures.
• Recommend different ways to constantly improve data reliability and quality.
• Maintaining up-to-date knowledge, support, and training documentation

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