

CBTS
Data Engineer - DataStage ETL (W2 Contract Only)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer - DataStage ETL, a 6-month remote contract in Cincinnati, OH. Requires 5+ years SQL, DataStage experience, and a technical degree. Skills in ETL, data management, and programming are essential.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
February 20, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
W2 Contractor
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π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Programming #Data Management #Hadoop #Data Architecture #Data Mining #"ETL (Extract #Transform #Load)" #Scala #Databases #Java #MongoDB #BI (Business Intelligence) #Disaster Recovery #MySQL #SQL (Structured Query Language) #dbt (data build tool) #NoSQL #Data Science #Data Engineering #Data Modeling #DataStage
Role description
Role: Data Engineer - DataStage ETL III
Location: Cincinnati, OH (Remote)
Duration: 6 Months
Job Description -
Job Summary: 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.
Must Have
β’ 5+ years of SQL experience
β’ Business Intelligence - Systems/ETL
β’ Data Stage 8.5, 9.1, 11.3, 11.5,11.7
β’ Level 1 Support
Nice To Have
β’ DBT
Primary Responsibilities:
β’ Design, construct, install, test and maintain data management systems.
β’ Build high-performance algorithms, predictive models, and prototypes.
β’ Ensure that all systems meet the business/company requirements as well as industry practices.
β’ Integrate up-and-coming data management and software engineering technologies into existing data structures.
β’ Develop set processes for data mining, data modeling, and data production.
β’ Create custom software components and analytics applications.
β’ Research new uses for existing data.
β’ Employ an array of technological languages and tools to connect systems together.
β’ Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the projectβs goals.
β’ Install/update disaster recovery procedures.
β’ Recommend different ways to constantly improve data reliability and quality.
Qualifications:
β’ Technical Degree or related work experience
β’ Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)
β’ Experience programming and/or architecting a back end language (Java, J2EE, etc)
Role: Data Engineer - DataStage ETL III
Location: Cincinnati, OH (Remote)
Duration: 6 Months
Job Description -
Job Summary: 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.
Must Have
β’ 5+ years of SQL experience
β’ Business Intelligence - Systems/ETL
β’ Data Stage 8.5, 9.1, 11.3, 11.5,11.7
β’ Level 1 Support
Nice To Have
β’ DBT
Primary Responsibilities:
β’ Design, construct, install, test and maintain data management systems.
β’ Build high-performance algorithms, predictive models, and prototypes.
β’ Ensure that all systems meet the business/company requirements as well as industry practices.
β’ Integrate up-and-coming data management and software engineering technologies into existing data structures.
β’ Develop set processes for data mining, data modeling, and data production.
β’ Create custom software components and analytics applications.
β’ Research new uses for existing data.
β’ Employ an array of technological languages and tools to connect systems together.
β’ Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the projectβs goals.
β’ Install/update disaster recovery procedures.
β’ Recommend different ways to constantly improve data reliability and quality.
Qualifications:
β’ Technical Degree or related work experience
β’ Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)
β’ Experience programming and/or architecting a back end language (Java, J2EE, etc)






