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Data Engineer

3 months ago

Washington, United States Eliassen Group Full time

Eliassen Group is supporting one of our clients in the search for a Data Engineer. This opening is for a mid to senior level Data Visualization Developer with 4+ years professional experience.


Responsibilities:

  • Work as a Power BI expert for our client and their data product development teams, including:
  • Consulting with stakeholders using human centered design approaches to understand the need for data products and to identify a potential solution.
  • Gathering/translating customer requirements for data products (datasets, reports, dashboards) into a prioritized backlog of features and user stories.
  • Identifying potential data sources and conducting assessments to determine data quality.
  • Maintaining backlogs of work items in Agile development processes.
  • Designing data visualization strategies that make large or complex datasets more understandable, accessible, and usable.
  • Creating actionable interactive reports and dashboards using statistical and business intelligence tools (e.g. Power BI, Cognos, RStudio)
  • Executing testing protocols and procedures throughout the entire data product development process.


Requirements:

  • Bachelor’s Degree in related field
  • Have the ability to obtain a security clearance
  • Federal/government experience is preferred
  • Experience using Power BI to structure and create data, design, develop and maintain interactive visualizations and dashboards.
  • Experience selecting data visualization chart types to effectively communicate information to a large group of technical and non-technical audiences.
  • Working in an Agile environment
  • Background in using M and DAX languages to build Power BI models. Ability to communicate technical information to non-technical audiences (orally and in written form). Have the skillset to effectively collaborate across organizational barriers to accomplish high priority and high visibility goals.
  • Experience using human-centered design approaches to understand user needs and behavior.
  • Experience in data quality control.