{"schemaVersion":"jobsearcher.job.v1","id":"8e4e8628c7dea23b499cf60d","url":"https://jobsearcher.com/jobs/8e4e8628c7dea23b499cf60d","canonicalUrl":"https://jobsearcher.com/jobs/8e4e8628c7dea23b499cf60d","title":"Analytics Engineer BI Developer","description":"Analytics Engineer Bi DeveloperRole: Analytics Engineer BI Developer Duration: 6 months Contract to Hire Location: 100% Remote (EST ONLY) MOI: Video The role You own the journey from clean, transformed data all the way through to the dashboards, reports, and self-service analytics environments that business stakeholders actually use. You are analytics-primary, but your engineering foundation is strong enough to collaborate meaningfully on pipeline design and data quality. You are often the person who makes the invisible work of the data platform visible - translating what the team builds into insights that clients and internal stakeholders can act on.ResponsibilitiesDesign and implement data transformation pipelines and semantic data models using dbt or equivalent frameworksBuild and maintain data marts, aggregated layers, and consumption-ready datasets aligned to project and stakeholder requirementsDevelop dashboards, reports, and self-service analytics environments using modern BI tooling (Power BI, Looker, Tableau, or equivalent)Define and implement a semantic layer that bridges technical data models and business-friendly metricsCollaborate with the Senior Analytics & Data Engineer on transformation layer design and integration patternsDocument data lineage, business metric definitions, data dictionaries, and dashboard logic consistentlyImplement data validation checks within transformation pipelines and work with the DataOps Engineer on quality automationParticipate in agile ceremonies across Scrum and Kanban workstreamsUse AI-assisted tools to accelerate model development, documentation, dashboard scaffolding, and query optimizationRequirements4+ years in analytics engineering, BI development, or data engineering roles spanning both transformation and visualization layersStrong SQL proficiency and hands-on experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Synapse, or equivalent)Hands-on dbt experience (Core or Cloud) or equivalent transformation frameworkProficiency with at least one major BI tool - Power BI, Looker, Tableau, or equivalent - including semantic/data model configurationUnderstanding of dimensional modeling and semantic layer designAbility to translate business requirements into data models and visualizations without heavy hand-holdingExperience working in agile delivery environmentsStrong written English for documentation, metric definitions, and async communicationPreferredExperience with headless BI or semantic layer tools (Cube, Metriql, dbt Semantic Layer)Python skills for custom transformation logic or data pipeline scriptingExposure to multiple cloud platformsExperience designing self-service analytics environments for non-technical end usersMulti-industry background - analytics patterns vary significantly by vertical.","company":"Intersources","rawCompany":"intersources","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-15T12:57:25.051Z","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":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Analytics Engineer BI Developer","description":"Analytics Engineer Bi DeveloperRole: Analytics Engineer BI Developer Duration: 6 months Contract to Hire Location: 100% Remote (EST ONLY) MOI: Video The role You own the journey from clean, transformed data all the way through to the dashboards, reports, and self-service analytics environments that business stakeholders actually use. You are analytics-primary, but your engineering foundation is strong enough to collaborate meaningfully on pipeline design and data quality. You are often the person who makes the invisible work of the data platform visible - translating what the team builds into insights that clients and internal stakeholders can act on.ResponsibilitiesDesign and implement data transformation pipelines and semantic data models using dbt or equivalent frameworksBuild and maintain data marts, aggregated layers, and consumption-ready datasets aligned to project and stakeholder requirementsDevelop dashboards, reports, and self-service analytics environments using modern BI tooling (Power BI, Looker, Tableau, or equivalent)Define and implement a semantic layer that bridges technical data models and business-friendly metricsCollaborate with the Senior Analytics & Data Engineer on transformation layer design and integration patternsDocument data lineage, business metric definitions, data dictionaries, and dashboard logic consistentlyImplement data validation checks within transformation pipelines and work with the DataOps Engineer on quality automationParticipate in agile ceremonies across Scrum and Kanban workstreamsUse AI-assisted tools to accelerate model development, documentation, dashboard scaffolding, and query optimizationRequirements4+ years in analytics engineering, BI development, or data engineering roles spanning both transformation and visualization layersStrong SQL proficiency and hands-on experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Synapse, or equivalent)Hands-on dbt experience (Core or Cloud) or equivalent transformation frameworkProficiency with at least one major BI tool - Power BI, Looker, Tableau, or equivalent - including semantic/data model configurationUnderstanding of dimensional modeling and semantic layer designAbility to translate business requirements into data models and visualizations without heavy hand-holdingExperience working in agile delivery environmentsStrong written English for documentation, metric definitions, and async communicationPreferredExperience with headless BI or semantic layer tools (Cube, Metriql, dbt Semantic Layer)Python skills for custom transformation logic or data pipeline scriptingExposure to multiple cloud platformsExperience designing self-service analytics environments for non-technical end usersMulti-industry background - analytics patterns vary significantly by vertical.","datePosted":"2026-10-15T12:57:25.051Z","dateModified":"2026-10-15T12:57:25.051Z","hiringOrganization":{"@type":"Organization","name":"Intersources","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8e4e8628c7dea23b499cf60d"},"url":"https://jobsearcher.com/jobs/8e4e8628c7dea23b499cf60d"}}