ETL DataStage Developer 1 (Only W2) - $40 on W2

CBTS; Cincinnati (OH); On-site; USD 52,000 - 55,000; Full time

Job summary

CBTS is seeking a data systems engineer to design, implement, and maintain scalable data management systems in Cincinnati, OH. You will build high-performance algorithms and predictive models while ensuring compliance with company standards and industry best practices.

You will collaborate with data architects, IT, and data scientists to connect systems, mine data, and develop analytics applications, exploring new uses for existing data to improve reliability and quality.

Qualifications

• Technical degree or related work experience.
• Experience with SQL/NoSQL databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.).
• Experience programming and/or architecting a backend language (Java, J2EE, etc.).

Responsibilities

• Design, construct, install, test and maintain data management systems.
• Build high-performance algorithms, predictive models, and prototypes.
• Ensure systems meet business/company requirements and industry practices.
• Integrate emerging data management and software engineering technologies.
• Develop data mining, data modeling, and data production processes.
• Create custom software components and analytics applications.
• Research new uses for existing data.
• Use various languages and tools to connect systems.
• Collaborate with data architects, IT, and data scientists on project goals.
• Recommend improvements to data reliability and quality.

Skills

Databases (SQL/NoSQL)

Java/J2EE

Backend Languages

Education

Technical Degree or related experience

Job description

Pay Rate: $38-40/hour on W2, client will not consider C2C

Handle the design and construction of scalable 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.
• Recommend different ways to constantly improve data reliability and quality.

Qualifications:

• Technical Degree or related work experience
• Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)
• Experience programming and/or architecting a back end language (Java, J2EE, etc)