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Data Quality Engineer

Finance / Accounting

Bloomington, MN
ID: 285-265

Since 1940, Dairy Queen® has been one of the world’s best known and loved brands. Based in Minneapolis, MN, International Dairy Queen Inc., (IDQ), is the parent company of American Dairy Queen Corporation. As a leading franchisor, there are more than 7,000 independently owned and operated restaurants in the U.S., Canada and 24 countries around the world. IDQ is a subsidiary of Berkshire Hathaway Inc. (Berkshire) which is led by Warren Buffett, the legendary investor and CEO of Berkshire.


Here at IDQ, we create extraordinary Fan experiences every day and we do this through our commitment to hiring and retaining only the best in class talent. We firmly believe that our employees are the catalyst to the success of the company where their initiative, strategic thinking, and entrepreneurial spirit are recognized and rewarded. We're looking for motivated, passionate and dedicated individuals with an inherent need and ambition to go after bigger challenges. 


We have an exciting opportunity for a Data Quality Engineer located at our Bloomington, MN corporate office. This person will be responsible for developing testing strategies and plans, creating test cases based on business requirements and risk analysis, and creating automation to ensure quality in the data and reporting systems that support Dairy Queen’s Data and Reporting team. They’ll work with the business, analysts and developers to identify critical data elements as well as proactively identify opportunities for continuous data quality and process improvements.


The successful candidate will be well versed in data quality techniques/frameworks. Responsibilities include understanding customer use cases and datasets, build and execute quality assurance efforts including planning, strategy, test cases, automation, and regression to ensure delivery of reliable data and reporting.

Key Accountabilities Include: 


  • Develops a keen understanding of the source datasets/reports and becomes SME on their uses/best practices
  • Develops a keen understanding of the source datasets/reports and becomes SME on their uses/best practices
  • Build and execute data quality projects including strategy, plan, test cases, and automation
  • Support the scoping and implementation of data for projects, acting as the data and testing lead on project teams focused on bringing in new source datasets
  • Identifies key data quality issues and creates a data quality program to mitigate
  • Document issues as they arise and identify areas for improvement
  • Develop and maintain communication with key stakeholders
  • Perform impact and risk analysis on an on-going basis



Required Skills

  • Demonstration of innovation and initiative – always looking at improving products and processes while also displaying a willingness to dive into the details and help wherever necessary
  • Exceptional analytical skills – creative thinker who can quickly develop innovative ideas across a wide variety of business units
  • Keen attention to detail in planning, organization and execution of tasks, while still seeing the big picture and understanding how all the pieces fit together and affect one another
  • Relationship building skills with the ability to create mutually beneficial relationships and provide excellent customer service to both internal and external customers
  • Strong ability to multi-task and prioritize multiple projects and requests simultaneously within a deadline-driven environment
  • Be a team leader and facilitate brainstorming sessions, with the ability to collaborate in a team environment
  • Excellent written and verbal communication skills, with the ability to present information
  • Ability to identify key data points and use those to drive meaningful reporting for management use

Required Experience


  • Must have a minimum of 5 years of managing data quality projects
  • Must be experience working with SQA frameworks/test automation
  • Must have experience working directly with the business defining data assets
  • Must have experience managing metadata and definitions of data quality
  • Must have a minimum of an Bachelor's degree or 5 years of work experience using the Microsoft stack
  • Knowledge of python
  • Experience working within a multi-location global franchisor organization, especially a QSR brand, is preferred
  • Experience across multiple Data Analytic, Business Intelligence, and Data Warehousing solutions is preferred



Benefit package includes medical, dental and vision insurance coverage, employer paid basic life insurance, short and long-term disability, paid sick and vacation, 401(k) match, tuition reimbursement, wellness challenges and more!

IDQ is an Equal Opportunity Employer that values the strength diversity brings to the workplace. IDQ participates in the US E-Verify program.

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