{"schemaVersion":"jobsearcher.job.v1","id":"aa81e4dacc006fa2c90861ec","url":"https://jobsearcher.com/jobs/aa81e4dacc006fa2c90861ec","canonicalUrl":"https://jobsearcher.com/jobs/aa81e4dacc006fa2c90861ec","title":"Business Intelligence Engineer","description":"Business Intelligence Engineer\n\nHybrid contract to hire opportunity\nCandidate must be local to Minnesota and willing to go into the office in Cold Spring, MN\n\nJOB SUMMARY: The Business Intelligence Engineer is responsible for making data usable by the business. Client is building a medallion data architecture — a bronze layer of raw source data, a silver layer in our SQL data warehouse, and a gold layer of curated, business-facing data. This position is embedded in our cross-functional BI team, where a project manager handles intake and prioritization, and is responsible for the technical design and delivery of the gold layer, the certified data sources the company relies on, and the KPIs, dashboards, and reporting used to make business decisions. This position also owns our dbt environment and the transformation logic that moves data from bronze, to silver, to gold. Key skills for this position include SQL, dbt, dimensional data modeling, Tableau, and the ability to communicate effectively with non-technical business users.\n\nOur client has spent the past two years building the foundation for this role — a working data warehouse sourced from JD Edwards, with a dedicated developer maintaining the integration. The gold layer is greenfield. This is the first position dedicated to making that data usable across the company, so you would be establishing the patterns, the standards, and the certification practice rather than inheriting someone else’s. You would be working with people who know the business well and want better access to their data.\n\nWHAT YOU’LL BE DOING:\nSet up, configure, and maintain the dbt environment used to transform data\nBuild and maintain the dbt models that move data from the bronze layer, to silver, to gold, including data quality tests and monitoring\nWork with business users, alongside the BI team, to translate business questions into data requirements and deliver answers at the level each requester needs\nDesign and build the gold layer: curated, business-facing data models, including conformed and pre-joined data sets spanning sales, production, shipping, and other domains\nEstablish standards for naming, testing, documentation, and version control of transformation code\nPublish, certify, and manage the company’s certified data sources, including their names, descriptions, owners, refresh schedules, and the data dictionary and metric definitions behind them\nOwn the certification standard: what qualifies as certified, how changes are handled, and when a source is retired\nCentralize business calculations and metric definitions in the data layer, not in individual reports\nBuild KPIs, dashboards, and recurring reporting for teams that cannot build their own\nIdentify data quality and data capture gaps and help resolve them with source system owners\nContribute to the ongoing development of the underlying data warehouse alongside the BI developer\nWork as an embedded member of the cross-functional BI team, receiving prioritized work through IT and the team’s project manager, while owning the technical approach and design decisions\nPartner with the project manager on scoping and effort estimates for incoming requests\nProvide guidance to business users on the certified data sources, including occasional informal training\n\nRequirements\nQUALIFICATIONS:\nBachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field preferred; an associate degree or demonstrated experience may be considered in place of a bachelor’s degree\n5+ years of combined experience in business intelligence, analytics engineering, or data engineering roles. Depth in the following matters more than years served: Advanced SQL, including writing, optimizing, and troubleshooting complex queries dbt, including standing up a project and owning model development, testing, and structure (2+ years hands-on), Dimensional data modeling (facts, dimensions, and grain), Git / source control, and hands-on front end visualization and dashboard development in a BI platform such as Tableau or Power BI\nExperience with several of the following is preferred: Tableau specifically, including publishing and managing certified data sources, data sourced from a transactional ERP system (JD Edwards a plus), layered or medallion data architectures, modern data transformation and testing workflows, python or other scripting for data preparation\nAbility to explain technical data concepts to a non-technical audience\nStrong collaboration, relationship management, and communication skills\nWorks with business users to understand the requirements behind a request, and asks questions when they are unclear\nGood judgment, logical thinker and detail oriented\nAbility to drive projects to completion and flag blockers early\nManufacturing, production, or distribution industry experience preferred\n\nTarget salary range is 90-110k, comparable contract rates for W2/1099/C2C. These are negotiable.","company":"Intertech","rawCompany":"intertech","city":"Chaska","state":"MN","isRemote":false,"isActive":false,"createdAt":"2026-11-12T10:32:29.856Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Business Intelligence Engineer","description":"Business Intelligence Engineer\n\nHybrid contract to hire opportunity\nCandidate must be local to Minnesota and willing to go into the office in Cold Spring, MN\n\nJOB SUMMARY: The Business Intelligence Engineer is responsible for making data usable by the business. Client is building a medallion data architecture — a bronze layer of raw source data, a silver layer in our SQL data warehouse, and a gold layer of curated, business-facing data. This position is embedded in our cross-functional BI team, where a project manager handles intake and prioritization, and is responsible for the technical design and delivery of the gold layer, the certified data sources the company relies on, and the KPIs, dashboards, and reporting used to make business decisions. This position also owns our dbt environment and the transformation logic that moves data from bronze, to silver, to gold. Key skills for this position include SQL, dbt, dimensional data modeling, Tableau, and the ability to communicate effectively with non-technical business users.\n\nOur client has spent the past two years building the foundation for this role — a working data warehouse sourced from JD Edwards, with a dedicated developer maintaining the integration. The gold layer is greenfield. This is the first position dedicated to making that data usable across the company, so you would be establishing the patterns, the standards, and the certification practice rather than inheriting someone else’s. You would be working with people who know the business well and want better access to their data.\n\nWHAT YOU’LL BE DOING:\nSet up, configure, and maintain the dbt environment used to transform data\nBuild and maintain the dbt models that move data from the bronze layer, to silver, to gold, including data quality tests and monitoring\nWork with business users, alongside the BI team, to translate business questions into data requirements and deliver answers at the level each requester needs\nDesign and build the gold layer: curated, business-facing data models, including conformed and pre-joined data sets spanning sales, production, shipping, and other domains\nEstablish standards for naming, testing, documentation, and version control of transformation code\nPublish, certify, and manage the company’s certified data sources, including their names, descriptions, owners, refresh schedules, and the data dictionary and metric definitions behind them\nOwn the certification standard: what qualifies as certified, how changes are handled, and when a source is retired\nCentralize business calculations and metric definitions in the data layer, not in individual reports\nBuild KPIs, dashboards, and recurring reporting for teams that cannot build their own\nIdentify data quality and data capture gaps and help resolve them with source system owners\nContribute to the ongoing development of the underlying data warehouse alongside the BI developer\nWork as an embedded member of the cross-functional BI team, receiving prioritized work through IT and the team’s project manager, while owning the technical approach and design decisions\nPartner with the project manager on scoping and effort estimates for incoming requests\nProvide guidance to business users on the certified data sources, including occasional informal training\n\nRequirements\nQUALIFICATIONS:\nBachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field preferred; an associate degree or demonstrated experience may be considered in place of a bachelor’s degree\n5+ years of combined experience in business intelligence, analytics engineering, or data engineering roles. Depth in the following matters more than years served: Advanced SQL, including writing, optimizing, and troubleshooting complex queries dbt, including standing up a project and owning model development, testing, and structure (2+ years hands-on), Dimensional data modeling (facts, dimensions, and grain), Git / source control, and hands-on front end visualization and dashboard development in a BI platform such as Tableau or Power BI\nExperience with several of the following is preferred: Tableau specifically, including publishing and managing certified data sources, data sourced from a transactional ERP system (JD Edwards a plus), layered or medallion data architectures, modern data transformation and testing workflows, python or other scripting for data preparation\nAbility to explain technical data concepts to a non-technical audience\nStrong collaboration, relationship management, and communication skills\nWorks with business users to understand the requirements behind a request, and asks questions when they are unclear\nGood judgment, logical thinker and detail oriented\nAbility to drive projects to completion and flag blockers early\nManufacturing, production, or distribution industry experience preferred\n\nTarget salary range is 90-110k, comparable contract rates for W2/1099/C2C. These are negotiable.","datePosted":"2026-11-12T10:32:29.856Z","dateModified":"2026-11-12T10:32:29.856Z","hiringOrganization":{"@type":"Organization","name":"Intertech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chaska","addressRegion":"MN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"aa81e4dacc006fa2c90861ec"},"url":"https://jobsearcher.com/jobs/aa81e4dacc006fa2c90861ec"}}