Data Analytics Engineer

Company: Murdoch's Ranch & Home Supply

Location: Bozeman, MT (Remote)

Type: Contract

Remote: Yes

Posted: 2026-06-05

About this role

Description
We are seeking a highly skilled and experienced Data Analytics Engineer with a strong focus on Microsoft technologies to join our team. As a Data Analytics Engineer, you will play a critical role in designing, implementing, and optimizing data analytics solutions leveraging Microsoft's suite of tools and technologies. Your expertise will be instrumental in transforming complex data into actionable insights, driving business growth, and supporting decision-making processes while actively participating in new opportunity pursuits. You will work with retail data domains such as sales, inventory, customer, and finance to design models that power operational and analytical decision-making across the business. This role is very technically focused and will co-own the design and evolution of the company’s Microsoft Fabric Lakehouse architecture, including the downstream Power BI semantic layer. Your workplace is flexible – we have offices in Bozeman Montana or wherever you feel most productive.


This position can be fully remote for candidates residing in
*:*
*AZ, CO, FL, GA, IA, ID, MT, MO, NE, NV, NC, PA, SD, TN, TX, UT, VA, WY.*
As a Murdoch’s Team Member in this role, you will …

  • Collaborate with stakeholders to understand business requirements and translate them into scalable and efficient data analytics solutions.
  • Possess in-depth knowledge and hands-on experience with Microsoft Fabric ecosystem (Lakehouse, PySpark/SQL notebooks, data pipelines, and deployment pipelines). Understanding Microsoft Dynamics as a data source a big plus.
  • Design data models that bridge the Fabric Lakehouse, Power BI semantic models, and reporting layers, ensuring consistency between raw, curated, and business-facing data.
  • Optimize data models to support efficient data storage, retrieval, and analysis, ensuring data integrity, accuracy, and reliability. Knowledge of Fabric capacity (CU) optimization a big plus.
  • Implement data integration pipelines usin...

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