
201 - 500 employees
Founded 1979
đď¸ Construction
đ Manufacturing
đ¤ B2B
Construction ⢠Manufacturing ⢠B2B
Hermanson Company is a regional mechanical construction and service contractor founded in 1979 that specializes in mechanical systems constructionâHVAC, sheet metal, pipefitting, and plumbingâcovering design, fabrication and installation for new construction, renovations, retrofits and tenant improvements. They provide integrated design-build engineering, 24/7 service and maintenance, and lean off-site fabrication for ductwork, piping and plumbing assemblies. Hermansonâs portfolio includes large commercial, healthcare, higher-education, data center, transportation and industrial projects (e. g. , arenas, hospitals, university research buildings, data centers, and an EV battery manufacturing facility).
đĽ 2 minutes ago
â Washington â Remote
đľ $165k - $195k / year
â° Full Time
đ Senior
đ° Data Engineer
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201 - 500 employees
Founded 1979
đď¸ Construction
đ Manufacturing
đ¤ B2B
Construction ⢠Manufacturing ⢠B2B
Hermanson Company is a regional mechanical construction and service contractor founded in 1979 that specializes in mechanical systems constructionâHVAC, sheet metal, pipefitting, and plumbingâcovering design, fabrication and installation for new construction, renovations, retrofits and tenant improvements. They provide integrated design-build engineering, 24/7 service and maintenance, and lean off-site fabrication for ductwork, piping and plumbing assemblies. Hermansonâs portfolio includes large commercial, healthcare, higher-education, data center, transportation and industrial projects (e. g. , arenas, hospitals, university research buildings, data centers, and an EV battery manufacturing facility).
⢠Report to the CIO in the IT Department ⢠Design and manage end-to-end Microsoft Fabric architecture, including Bronze/Silver/Gold lakehouse structure, Dev/UAT/Prod workspace and environment strategy, and data integration/orchestration patterns ⢠Define and enforce technical standards for scalability, performance, and cost efficiency ⢠Establish architectural roadmaps aligned with analytics and business objectives ⢠Build and maintain ingestion pipelines across D365 F&O, CRM, Fabrication, Service, and other systems ⢠Implement transformations producing curated, reporting, and analytics-ready datasets ⢠Establish batch, streaming, and real-time data movement from source through lakehouse to semantic layer ⢠Ensure technical models align with the business information model ⢠Enable reliable, performant datasets for Power BI and downstream analytics ⢠Establish and enforce governance frameworks covering data quality, metadata, cataloging, lineage, and observability ⢠Define and manage security and access controls ⢠Support a formal data governance and ownership model ⢠Own Fabric deployment pipelines, CI/CD, and release management ⢠Enable incremental delivery for testing, UAT, and production stabilization ⢠Expand the platform beyond core ERP data into additional enterprise systems ⢠Ensure the architecture is clean, governed, accessible, and AI-ready ⢠Optimize performance, cost, and usability ⢠Evaluate and recommend technologies and tools ⢠Stabilize and operationalize the existing Fabric Data Lakehouse V1, deliver V2 capabilities, transition capabilities from external partners in-house, and enable trusted reporting and future AI initiatives
⢠Bachelor's degree (B. S.) in Software Engineering, Computer Science, Information Systems, Data Science, Mathematics, from a four-year college or university or equivalent combination of technical training and/or related field experience ⢠Experience designing, building, and operationalizing Microsoft Fabric-based data platforms and lakehouse architectures ⢠Experience with Microsoft Fabric architecture, lakehouse structures, workspace and environment strategy, and data integration/orchestration patterns ⢠Experience building and maintaining data ingestion pipelines across enterprise systems such as D365 F&O, CRM, Fabrication, and Service ⢠Experience implementing transformation logic for curated, reporting, and analytics-ready datasets ⢠Experience with batch, streaming, and real-time data patterns ⢠Knowledge of data governance, data quality, metadata, cataloging, lineage, and observability ⢠Experience defining security and access controls across data platform components ⢠Experience with deployment pipelines, CI/CD processes, and release management for Fabric ⢠Experience supporting analytics, reporting, AI use cases, semantic modeling, Power BI, and data platform operations ⢠Experience leading or mentoring technical teams ⢠Position is not eligible for employment visa sponsorship
⢠Competitive pay with bonus opportunities ⢠Medical, prescription, dental & vision coverage with zero to low weekly premiums ⢠401(k) with discretionary company match ⢠Generous paid time off (vacation, sick time, and paid holidays) ⢠Disability income protection ⢠Life insurance for employees and eligible dependents ⢠Optional added protection with critical illness and accident plans ⢠Career growth & development opportunities ⢠In-house training programs ⢠Certificate & tuition reimbursement ⢠Wellness program ⢠Employee Assistance Program (EAP)
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