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 21 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. 

IDQ has an exciting opportunity for a Data Engineer supporting our corporate headquarters in Bloomington, MN.  The Data Engineer works with a team of skilled Analysts to develop and manage data pipelines and model automation. This position will work closely with our Data Analytics team to design, build, and maintain the computational infrastructure to support the business intelligence platform.  

This position plans, designs, and optimizes for data throughput and query performance issues. This requires constantly updating expertise in areas such as platform, network and storage technologies, bandwidth management, data bus implications, and design. Additionally, this position plays a key role in the selection of backend database technologies (SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness.  This position also participates in a variety of higher-level and/or cross-functional team projects, including the planning, design and implementation of new/updates to existing Cloud components, authentication and end user/endpoint security.

Key Accountabilities Include:

SYSTEMS ENGINEERING & ADMINISTRATION

• Design, architect, and document the database schema and data pipelines
• Design, implement, and test data collection, storage, and mapping procedures
• Research, design, and test computational environments to support analytical modeling (statistics, machine learning, optimization, and simulation)
• Develop statistical models for data quality assurance and data imputation
• Write, optimize, and automate data processing tasks
• Deploy and maintain system and database monitoring tools
• Perform other related duties as assigned

 MAINTENANCE & PROJECTS

• Creation and refinement of standards for the Data Practice, including data ingestion, data governance, request process, testing/QA, etc.
• Management and maintenance of the Data Analytics environment, Cloud integrated applications and application delivery infrastructure
• Maintain central repository/code base for production code (e.g. GitHub)
• Maintain technical documentation for solutions and standard operating procedures such that services are delivered in an efficient and effective manner
• Manage multifaceted and technically sophisticated projects and on-going operations
• Meet project and task deadlines

SERVICE DEVELOPMENT

• Continually look to improve and refine the IS data services delivered to the business, globally
• Maintain knowledge of emerging technology
• Help define and meet SLA requirements for analytics components
• Contribute deep technical skills, and industry experience and best practices to the rest of the team, driving change
• Embrace agile methodology for iterative development

COMMUNICATION & COLLABORATION

• Communicate effectively, verbally and in writing with people at all organizational levels
• Work in a team environment making positive contributions to the organization
• Establish and maintain effective relationships with staff members, customers, and vendors
• Other duties as assigned or required

Required Skills

• Advanced SQL development skills and an in-depth understanding of database technologies
• Minimum 5 years of experience with Python, Bash, and other scripting languages
• Experience with cloud infrastructure and distributed computing
• Familiarity with large-scale analytics systems
• Excellent analytical and problem-solving skills
• Strong written and oral communication skills

Required Experience

• B.S. or M.S. in computer science, computer engineering, or a related technical field
• Minimum 5 years of experience in cloud-based ETL architecture/development, implementation and support

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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• Advanced SQL development skills and an in-depth understanding of database technologies
• Minimum 5 years of experience with Python, Bash, and other scripting languages
• Experience with cloud infrastructure and distributed computing
• Familiarity with large-scale analytics systems
• Excellent analytical and problem-solving skills
• Strong written and oral communication skills