{"schemaVersion":"jobsearcher.job.v1","id":"6d652827518e6b66d49ed8bd","url":"https://jobsearcher.com/jobs/6d652827518e6b66d49ed8bd","canonicalUrl":"https://jobsearcher.com/jobs/6d652827518e6b66d49ed8bd","title":"Data & Analytics Engineer","description":"Electro-Mechanical Corporation | Bristol, VA\nThis position requires a highly skilled Data & Analytics Engineer to design, build, and maintain a modern, scalable, and secure enterprise data platform. This role, based in Bristol, VA, is responsible for establishing the organization's data foundation using Microsoft Fabric, Power Platform, and leading visualization technologies including Power BI and Tableau.\n\nThis role is ideal for a professional who enjoys building modern data ecosystems, enabling data-driven decision-making, and creating scalable analytics capabilities that support enterprise growth and digital transformation. Additionally, this role will partner closely with business stakeholders, IT teams, and data consumers to enable self-service analytics, data governance, and enterprise reporting.\n\nPrimary Responsibilities\n\nDesign, develop, and maintain a scalable enterprise data platform leveraging Microsoft Fabric capabilities, including:\n\nOneLake\n\nData Factory\n\nData Warehouse\n\nReal-Time Analytics\n\nLakehouse architecture\n\nEstablish and manage data ingestion, transformation, and orchestration pipelines from multiple internal and external data sources.\n\nDevelop and implement data models that support enterprise reporting, analytics, AI, and operational decision-making.\n\nBuild reusable data products and semantic models that promote consistency and scalability across the organization.\n\nDesign and implement ETL/ELT processes using Microsoft Fabric and related Azure technologies.\n\nIntegrate ERP, CRM, operational systems, cloud applications, APIs, and third‑party data sources.\n\nEnsure data quality, reliability, and performance through monitoring, validation, and optimization.\n\nImplement data governance, metadata management, lineage, and security controls.\n\nDevelop enterprise dashboards, scorecards, and analytical solutions using Power BI and Tableau.\n\nCreate scalable semantic models and datasets that support self-service analytics.\n\nOptimize visualization performance and user experience.\n\nEstablish reporting standards, KPIs, and data definitions across business functions.\n\nCollaborate with business stakeholders to translate requirements into actionable analytics solutions.\n\nEstablish best practices for data management, access controls, privacy, and compliance.\n\nDefine and maintain enterprise data standards and governance frameworks.\n\nImplement role‑based security and data access policies within Microsoft Fabric and reporting platforms.\n\nSupport audit, compliance, and regulatory requirements.\n\nEvaluate emerging technologies and best practices in cloud analytics, data engineering, and AI.\n\nDrive adoption of modern data architecture principles and analytics capabilities.\n\nMentor team members and promote data literacy across the organization.\n\nContribute to roadmap planning and strategic data initiatives.\n\nTechnical Skills\n\nMicrosoft Fabric architecture and services\n\nData warehousing and dimensional modeling\n\nSQL and advanced query optimization\n\nETL/ELT design and implementation\n\nPower BI development and administration\n\nPower Platform (Power Apps, Power Automate, Dataverse)\n\nData integration and API development\n\nData governance and master data management\n\nGit/version control and CI/CD practices\n\nEducation and Experience Requirements\n\nBachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, Statistics, or a related field. Equivalent combination of education and relevant experience may be considered.\n\n3-5 years of experience in data engineering, analytics engineering, business intelligence, or related roles.\n\nExperience designing, developing, and supporting data pipelines and analytical solutions in a production environment.\n\nStrong SQL skills with experience developing complex queries, views, stored procedures, and data transformations.\n\nExperience building and maintaining ETL/ELT pipelines.\n\nExperience with modern cloud data platforms such as Fabric, Snowflake, Databricks or Azure Synapse.\n\nKnowledge of data warehousing concepts, dimensional modeling, and data architecture best practices.\n\nExperience with enterprise integrations, middleware, APIs, and data migration methodologies.\n\nExperience with Microsoft Azure, AWS, or Google Cloud Platform.\n\nUnderstanding of data quality frameworks, monitoring, and validation processes.\n\nExperience implementing data governance, metadata management, and master data practices.\n\nKnowledge of security, privacy, and compliance considerations related to enterprise data.\n\nExperience supporting Finance, Supply Chain, Manufacturing, or Commercial analytics.\n\nExperience in manufacturing, distribution, industrial, private equity-backed, or multi‑site organizations.\n\nPreferred Skills\n\nPython, Spark, or PySpark\n\nDataOps and MLOps concepts\n\nReal‑time analytics and streaming architectures\n\nAI/ML integration within Microsoft Fabric\n\nEnterprise ERP and CRM integrations\n\nPreferred Certifications\n\nMicrosoft Certified: Fabric Analytics Engineer Associate\n\nMicrosoft Certified: Power BI Data Analyst Associate\n\nCompensation\n$85,000–110,000/year\n\nAbout Electro-Mechanical, LLC\nElectro-Mechanical is a privately held, growth‑oriented manufacturer of electrical distribution equipment serving customers across multiple markets. With a legacy of engineering excellence and innovation, we deliver high‑quality solutions that power progress in communities, industries, and infrastructure.\n\nDisclaimer\nThe above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.\n\n#J-18808-Ljbffr","company":"Electromechanical","rawCompany":"electromechanical","city":"Bristol","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-07-14T03:31:36.059Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data & Analytics Engineer","description":"Electro-Mechanical Corporation | Bristol, VA\nThis position requires a highly skilled Data & Analytics Engineer to design, build, and maintain a modern, scalable, and secure enterprise data platform. This role, based in Bristol, VA, is responsible for establishing the organization's data foundation using Microsoft Fabric, Power Platform, and leading visualization technologies including Power BI and Tableau.\n\nThis role is ideal for a professional who enjoys building modern data ecosystems, enabling data-driven decision-making, and creating scalable analytics capabilities that support enterprise growth and digital transformation. Additionally, this role will partner closely with business stakeholders, IT teams, and data consumers to enable self-service analytics, data governance, and enterprise reporting.\n\nPrimary Responsibilities\n\nDesign, develop, and maintain a scalable enterprise data platform leveraging Microsoft Fabric capabilities, including:\n\nOneLake\n\nData Factory\n\nData Warehouse\n\nReal-Time Analytics\n\nLakehouse architecture\n\nEstablish and manage data ingestion, transformation, and orchestration pipelines from multiple internal and external data sources.\n\nDevelop and implement data models that support enterprise reporting, analytics, AI, and operational decision-making.\n\nBuild reusable data products and semantic models that promote consistency and scalability across the organization.\n\nDesign and implement ETL/ELT processes using Microsoft Fabric and related Azure technologies.\n\nIntegrate ERP, CRM, operational systems, cloud applications, APIs, and third‑party data sources.\n\nEnsure data quality, reliability, and performance through monitoring, validation, and optimization.\n\nImplement data governance, metadata management, lineage, and security controls.\n\nDevelop enterprise dashboards, scorecards, and analytical solutions using Power BI and Tableau.\n\nCreate scalable semantic models and datasets that support self-service analytics.\n\nOptimize visualization performance and user experience.\n\nEstablish reporting standards, KPIs, and data definitions across business functions.\n\nCollaborate with business stakeholders to translate requirements into actionable analytics solutions.\n\nEstablish best practices for data management, access controls, privacy, and compliance.\n\nDefine and maintain enterprise data standards and governance frameworks.\n\nImplement role‑based security and data access policies within Microsoft Fabric and reporting platforms.\n\nSupport audit, compliance, and regulatory requirements.\n\nEvaluate emerging technologies and best practices in cloud analytics, data engineering, and AI.\n\nDrive adoption of modern data architecture principles and analytics capabilities.\n\nMentor team members and promote data literacy across the organization.\n\nContribute to roadmap planning and strategic data initiatives.\n\nTechnical Skills\n\nMicrosoft Fabric architecture and services\n\nData warehousing and dimensional modeling\n\nSQL and advanced query optimization\n\nETL/ELT design and implementation\n\nPower BI development and administration\n\nPower Platform (Power Apps, Power Automate, Dataverse)\n\nData integration and API development\n\nData governance and master data management\n\nGit/version control and CI/CD practices\n\nEducation and Experience Requirements\n\nBachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, Statistics, or a related field. Equivalent combination of education and relevant experience may be considered.\n\n3-5 years of experience in data engineering, analytics engineering, business intelligence, or related roles.\n\nExperience designing, developing, and supporting data pipelines and analytical solutions in a production environment.\n\nStrong SQL skills with experience developing complex queries, views, stored procedures, and data transformations.\n\nExperience building and maintaining ETL/ELT pipelines.\n\nExperience with modern cloud data platforms such as Fabric, Snowflake, Databricks or Azure Synapse.\n\nKnowledge of data warehousing concepts, dimensional modeling, and data architecture best practices.\n\nExperience with enterprise integrations, middleware, APIs, and data migration methodologies.\n\nExperience with Microsoft Azure, AWS, or Google Cloud Platform.\n\nUnderstanding of data quality frameworks, monitoring, and validation processes.\n\nExperience implementing data governance, metadata management, and master data practices.\n\nKnowledge of security, privacy, and compliance considerations related to enterprise data.\n\nExperience supporting Finance, Supply Chain, Manufacturing, or Commercial analytics.\n\nExperience in manufacturing, distribution, industrial, private equity-backed, or multi‑site organizations.\n\nPreferred Skills\n\nPython, Spark, or PySpark\n\nDataOps and MLOps concepts\n\nReal‑time analytics and streaming architectures\n\nAI/ML integration within Microsoft Fabric\n\nEnterprise ERP and CRM integrations\n\nPreferred Certifications\n\nMicrosoft Certified: Fabric Analytics Engineer Associate\n\nMicrosoft Certified: Power BI Data Analyst Associate\n\nCompensation\n$85,000–110,000/year\n\nAbout Electro-Mechanical, LLC\nElectro-Mechanical is a privately held, growth‑oriented manufacturer of electrical distribution equipment serving customers across multiple markets. With a legacy of engineering excellence and innovation, we deliver high‑quality solutions that power progress in communities, industries, and infrastructure.\n\nDisclaimer\nThe above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.\n\n#J-18808-Ljbffr","datePosted":"2026-07-14T03:31:36.059Z","dateModified":"2026-07-14T03:31:36.059Z","hiringOrganization":{"@type":"Organization","name":"Electromechanical","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bristol","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6d652827518e6b66d49ed8bd"},"url":"https://jobsearcher.com/jobs/6d652827518e6b66d49ed8bd"}}