United Fire Group

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Data Engineer

Data Engineer

Job ID 
# of Openings 
Job Locations 
US-IA-Cedar Rapids
Posted Date 
Enterprise Analytics
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The Data Engineer will facilitate the development of information management solutions in support of UFG’s strategic plan. This position will work closely with business units throughout the organization to develop and implement data strategies that support the democratization, integration, and standardization of data at an enterprise level, ensuring consistency of business definitions and data quality. This position requires strong technical and communication skills, as well as proven experience in data management, information management, and the insurance industry in general.


  • Facilitate the standardization of business definitions and maintain artifacts in support of the sematic data layer
  • Maintain data dictionary by revising and entering definitions
  • Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality
  • Contribute to the design, construction, installation, testing and maintenance of highly scalable data warehouse solutions
  • Manage and design the reporting environment, including data sources, security, and metadata
  • Integrate new data management technologies and software engineering tools into existing structures
  • Employ a variety of languages and tools (e.g. scripting languages) to marry systems together
  • Recommend ways to improve data reliability, efficiency and quality
  • Collaborate with data architects, modelers and IT team members on project goals
  • Maintain technical knowledge by attending educational workshops, reviewing publications, establishing personal networks, and participating in technical societies


  • Bachelor’s degree in Computer Science
  • Microsoft BI Certified Engineer, preferred
  • 5+ years of work experience as a data engineer or in related field
  • Ability to analyze existing tools and databases, and provide recommendations
  • Ability to translate business requirements into non-technical, lay terms
  • Familiar with SQL and other querying language
  • Experience in methodologies and processes for managing large scale databases on premise as well as cloud solutions
  • Demonstrated experience in handling large datasets, structured and semi-structured data formats
  • Understanding of star/snowflake schemas as general data warehousing methodologies (i.e. Kimball)
  • Understanding of metadata standards
  • Strong analytical thinking and verbal communication skills
  • Ability to deliver incremental value via an Agile Development Methodology

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