7 Data Engineer Jobs in Bloomington, MN
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Dairy Queen is Hiring a Data Engineer Near Bloomington, MN
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.
Job DescriptionWe have an exciting opportunity available for a Data Engineer located at the corporate office in Bloomington, MN. The Data Engineer works with a team of skilled Analysts on the development and support of the Analytics & Reporting Enterprise Data Warehouse (EDW) and PowerBI reporting environments at Dairy Queen. 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 configuration and utilization of backend database technology. Drive optimization of the full data pipeline and infrastructure to support the actual content, volume, ETL to support the intended kinds of queries and analysis to match expected responsiveness.
This position requires expertise in Python scripting language and experience in API integration.
Principal Accountabilities
- 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
- Collaboratively troubleshoot technical and performance issues within the data platform
- Write, optimize, and automate data processing tasks
- Deploy and maintain system and database monitoring tools
- Maintain central repository/code base for production code (e.g. GitHub)
- B.S. or M.S. in computer science, computer engineering, or a related technical field
- Minimum 7 years of experience in cloud-based ETL architecture/development, implementation and support
- Advanced SQL development skills and an in-depth understanding of database technologies
- Minimum of 5 years experience working with Microsoft BI Tools including Azure Data Lake, Azure Data Lake Analytics, Azure SQL Database, Data Bricks and Azure SQL Data warehouse and Azure Data Factory
- Experience with API integration
- Experience with Azure cloud infrastructure and distributed computing Familiarity with large-scale analytics systems
- Excellent analytical and problem-solving skills
- Strong written and oral communication skills
All your information will be kept confidential according to EEO guidelines. You must be work authorized in the United States without the need for employer sponsorship.
BenefitsOur benefit package supports the well-being of our employees and their families. Our comprehensive benefit package includes, medical, dental, 401K match, paid time off (including volunteer time as well as parental leave) and so much more! To learn more about our great benefit offerings, Click Here.
Work EnvironmentMost positions located out of our global headquarters in Bloomington, MN will work a hybrid work schedule where you will work 2 collaboration days a week. Additional in office time may be required to support team/project needs. Positions will be identified as “remote eligible” when consideration will be given to candidates outside of drivable distance to our Bloomington office.
Our Commitment to Diversity, Equity and InclusionWe are committed to creating a culture of diversity, equity and inclusion for all who touch DQ. We believe in and commit to fostering a community where employees bring their authentic selves to work; where we recruit, engage and retain employees, franchise owners and suppliers with diverse background and identities; and where everyone feels welcome engaging with our DQ brand.
IDQ is an Equal Opportunity Employer that values the strength diversity brings to the workplace. IDQ participates in the US E-Verify program. You must be work authorized in the United States without the need for employer sponsorship.
Job Summary
Full Time
Restaurants & Catering Services
$117k-144k (estimate)
05/27/2024
06/06/2024
FRANKLIN, TN
25 - 50
2011
TIM BUCEK
<$5M
Restaurants & Catering Services
Related Companies
The job skills required for Data Engineer include SQL, Python, Data Warehouse, Computer Science, Analysis, Machine Learning, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.
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