

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a pay rate of $63/hour, onsite in Johnston, IA. Requires a Bachelor's degree and skills in data collection, analysis, database administration, and machine learning. Contract length is unspecified.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 5, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Johnston, IA
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π§ - Skills detailed
#Data Management #Data Engineering #Database Administration #ML (Machine Learning) #Data Modeling #Strategy
Role description
Title: Data Engineer
Pay rate: 63/hour
Location: Onsite in Johnston, IA
Major Purpose
Works closely with the business and other Information Technology (IT) teams focusing on the processes of gathering, analyzing and documenting information requirements using standard data management tools and techniques for the creating, support and administration of database objects. Work is of low to medium complexity and low to moderate in risk. Has contact with responsibility extending to other departments and functional operations and interaction with business contacts on tactical issues. Participates in various roles as a team member. Follows processes for tasks with some review. Uses discretion and judgment in planning own work/schedule. Impact of decision-making is low to medium risk and impact. Participates in sharing knowledge within the team. Applies information analyses to assist in the effective implementation and integration of a business sub process or processes. Completes routine changes and improvements to existing processes with some review.
Major Duties
β’ Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy.
β’ Support collection of business requirements using a variety of methods, such as interviews, document analysis, and workflow analysis, to express requirements clearly and succinctly.
β’ Work independently to collate and analyze data using predetermined tools, methods, and formats to create standard insights.
β’ Support creation of machine learning algorithms by applying standard statistical analysis or data preparation methods.
β’ Contribute to the preparation of various data and analytics reports.
β’ Consult and educate stakeholders on methods for streamlining and standardizing data recording to ensure quality and accuracy.
β’ Help others get the most out of data management systems by providing support and advice.
β’ Collate and analyze data using preset tools, methods, and formats. Involves working independently.
β’ Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation, where relevant, to improve performance and fulfill personal potential. Maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.
Skills, Abilities, Knowledge
β’ Data Collection and Analysis
β’ Data Control
β’ Business Requirements Analysis
β’ Application Development
β’ Business Data Modeling
β’ Customer and Market Analysis
β’ Perform Gap Analysis
β’ Database Administration
β’ Review and Reporting
β’ Commercial Acumen
Education
β’ Bachelor's Degree or Equivalent Level
Title: Data Engineer
Pay rate: 63/hour
Location: Onsite in Johnston, IA
Major Purpose
Works closely with the business and other Information Technology (IT) teams focusing on the processes of gathering, analyzing and documenting information requirements using standard data management tools and techniques for the creating, support and administration of database objects. Work is of low to medium complexity and low to moderate in risk. Has contact with responsibility extending to other departments and functional operations and interaction with business contacts on tactical issues. Participates in various roles as a team member. Follows processes for tasks with some review. Uses discretion and judgment in planning own work/schedule. Impact of decision-making is low to medium risk and impact. Participates in sharing knowledge within the team. Applies information analyses to assist in the effective implementation and integration of a business sub process or processes. Completes routine changes and improvements to existing processes with some review.
Major Duties
β’ Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy.
β’ Support collection of business requirements using a variety of methods, such as interviews, document analysis, and workflow analysis, to express requirements clearly and succinctly.
β’ Work independently to collate and analyze data using predetermined tools, methods, and formats to create standard insights.
β’ Support creation of machine learning algorithms by applying standard statistical analysis or data preparation methods.
β’ Contribute to the preparation of various data and analytics reports.
β’ Consult and educate stakeholders on methods for streamlining and standardizing data recording to ensure quality and accuracy.
β’ Help others get the most out of data management systems by providing support and advice.
β’ Collate and analyze data using preset tools, methods, and formats. Involves working independently.
β’ Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation, where relevant, to improve performance and fulfill personal potential. Maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.
Skills, Abilities, Knowledge
β’ Data Collection and Analysis
β’ Data Control
β’ Business Requirements Analysis
β’ Application Development
β’ Business Data Modeling
β’ Customer and Market Analysis
β’ Perform Gap Analysis
β’ Database Administration
β’ Review and Reporting
β’ Commercial Acumen
Education
β’ Bachelor's Degree or Equivalent Level