> Markdown version of [/jobs/ext/2849564-data-engineer](https://www.wearedevelopers.com/jobs/ext/2849564-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** I.D.Q. CORP. - **Location:** Bloomington, MN, United States - **Experience:** Expert - **Salary:** $128,841.0 - $161,052.0 - **Contract:** Franchise - **Skills:** Query Performance, Data Analysis, Microsoft Azure, Backup Devices, Cloud Computing, Code Review, Databases, Data Auditing, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Schema, Distributed Systems, Python (Programming Language), Machine Learning, SQL Azure, Performance Tuning, Power BI, Azure Data Lake, SQL Databases, Test Data, Data Processing, Azure Data Factory, Apache Spark, Data Strategy, Git, Storage Technologies, Database Monitoring, Software Version Control, Data Pipelines - **Published:** September 11, 2026 - **Apply:** https://www.thejobnetwork.com/job/a0730584-c8a2-4677-a8cb-d95279f05f22/senior-data-engineer ## About the Role * B.S. or M.S. in computer science, computer engineering, or a related technical field or equivalent relevant experience in lieu of degree * 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 * Strong Python and SQL; Spark (DataFrames/Delta); API integration; version control (Git) * Practical expertise with Power BI (dataset modeling, DAX, performance tuning) * ETL Design, automation, and cloud ETL as well as monitoring and alerting. * Minimum of 7 years experience working with Microsoft BI Tools, including Azure Data Lake, Azure Data Lake Analytics, Azure SQL Database, Azure 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, IDQ is an Equal Opportunity Employer, and we use E-Verify to confirm the identity and employment eligibility of all new team members. You must be authorized to work in the United States without the need for employer sponsorship. ## Description We have an exciting opportunity available for a Senior Data Engineer located out of our corporate office in Bloomington, MN. The Sr. 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 Analytics & Insights 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. The Sr. Data Engineer also includes limited leadership responsibilities, including mentoring junior engineering roles and actively participating in project management for the team. 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 * Handle advanced topics like data governance, security, and compliance * Define best practices and standards for data engineering * Mentor junior engineers and review code * Lead projects or act as a technical lead within the team * Collaborate closely with architects and product owners to align data strategy, Most positions located out of our global headquarters in Bloomington, MN will work a hybrid work schedule where you will work 3 collaboration days a week. 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