Dairy Queen

Data Engineer

Dairy Queen

full-time

Posted on:

Location Type: Remote

Location: Remote • Bloomington • Minnesota • 🇺🇸 United States

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Salary

💰 $147,077 - $153,064 per year

Job Level

Mid-LevelSenior

Tech Stack

AzureCloudETLSQL

About the role

  • 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).

Requirements

  • Requires a Bachelor’s degree or foreign equivalent degree in Computer Science, Computer Engineering, or a related technical field.
  • Requires 5 years of experience in the job offered or related occupation.
  • Must have 5 years of experience with/in: API integration; Azure cloud infrastructure and distributed computing; large-scale analytics systems; advanced SQL development skills and an in-depth understanding of database technologies; cloud-based ETL architecture/development, implementation and support; and 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.
  • Employer will also accept a Master’s degree or foreign equivalent degree in Computer Science, Computer Engineering, or a related technical field and 3 years of experience in the job offered or related occupation.
  • Must have 3 years of experience with/in: API integration; Azure cloud infrastructure and distributed computing; large-scale analytics systems; advanced SQL development skills and an in-depth understanding of database technologies; cloud-based ETL architecture/development, implementation and support; and 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.
Benefits
  • medical
  • dental
  • 401K match
  • paid time off (including volunteer time as well as parental leave)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
database schema designdata pipelinesdata collection proceduresdata storage proceduresdata mapping proceduresstatistical modelingdata quality assurancedata imputationdata processing automationAPI integration
Soft skills
collaborative troubleshootingproblem-solving