{"schemaVersion":"jobsearcher.job.v1","id":"5100b29e64c665e28c00da65","url":"https://jobsearcher.com/jobs/5100b29e64c665e28c00da65","canonicalUrl":"https://jobsearcher.com/jobs/5100b29e64c665e28c00da65","title":"Data Engineer","description":"Title: Data Engineer\nMinimum Qualifications:\nThe role is ideal for someone who thrives in a fast-paced, cutting-edge technology environment.\nProven Experience with data modeling and developing Enterprise Data Warehouse solutions - OLTP, OLAP, Dimensions, Facts, and Data modeling.\nExperience in designing and implementing data pipelines for BI and Machine Learning solutions.\nExperience with data security and privacy best practices.\nExperience with on Azure Monitor, Load Balancer, Application Gateway, Azure Functions, Azure Data Factory Integrations\n5+ years of hands-on experience in Data Management leveraging Microsoft Azure Cloud:\nData integration and ETL: Azure Data Factory, Power BI Dataflow, SSIS\nDatabase Management: Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, MSSQL, Cosmos DB, Analysis Services\nCompute: Azure Functions\nMonitoring: Azure Monitor\nContainer orchestration: Kubernetes\nExperience working and communicating cross functionally in a team environment.\nLive within commuting distance to one of Behaviorally's offices\nPreferred Qualifications:\nCertifications in data engineering AI/ML technologies and Azure, such as Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect\nResponsibilities:\nIn this role, you will play a key role in transforming structured, semi structured, and unstructured data into actionable insights.\nLead, designed, develop, and deliver large-scale data systems, data processing, and data transformation projects.\nDesign and develop scalable high performance data pipelines using Azure cloud platform technologies.\nBuild, test, and debug the software packages and pipelines required for optimal extraction, loading, and transformation (ELT) of data from a wide variety of data sources.\nImplement best practices for data management, security, and governance.\nDocument data pipelines, data models, and reports.\n\nSummary:\nBehaviorally is a company specializing in data intelligence to influence consumer behavior at the point of purchase. We leverage the world’s largest database of behavioral consumer pack design metrics to help brands optimizing their packaging and drive sales. Our innovative tools are used by all major industry players to improve the in-store and online transactions in sectors such as Consumer Packaged Goods, Health and Well-Being, Technology, and Retail.\nBehaviorally is seeking a Data Engineer to design and develop large-scale data systems and high-performance data pipelines using Azure technologies. Ideal candidates thrive in a fast-paced environment and have a minimum of 5 years of experience in data management and integration, with expertise in Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and Kubernetes. Responsibilities include transforming structured and unstructured data into actionable insights, implementing data security best practices, and documenting data models and pipelines. Preferred candidates will have relevant Azure certifications and experience with data modeling, ETL processes, and BI solutions. Candidates must live within commuting distance to a Behaviorally office.","company":"Behaviorally","rawCompany":"behaviorally","city":"Teaneck","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-04-12T20:29:42.251Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Title: Data Engineer\nMinimum Qualifications:\nThe role is ideal for someone who thrives in a fast-paced, cutting-edge technology environment.\nProven Experience with data modeling and developing Enterprise Data Warehouse solutions - OLTP, OLAP, Dimensions, Facts, and Data modeling.\nExperience in designing and implementing data pipelines for BI and Machine Learning solutions.\nExperience with data security and privacy best practices.\nExperience with on Azure Monitor, Load Balancer, Application Gateway, Azure Functions, Azure Data Factory Integrations\n5+ years of hands-on experience in Data Management leveraging Microsoft Azure Cloud:\nData integration and ETL: Azure Data Factory, Power BI Dataflow, SSIS\nDatabase Management: Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, MSSQL, Cosmos DB, Analysis Services\nCompute: Azure Functions\nMonitoring: Azure Monitor\nContainer orchestration: Kubernetes\nExperience working and communicating cross functionally in a team environment.\nLive within commuting distance to one of Behaviorally's offices\nPreferred Qualifications:\nCertifications in data engineering AI/ML technologies and Azure, such as Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect\nResponsibilities:\nIn this role, you will play a key role in transforming structured, semi structured, and unstructured data into actionable insights.\nLead, designed, develop, and deliver large-scale data systems, data processing, and data transformation projects.\nDesign and develop scalable high performance data pipelines using Azure cloud platform technologies.\nBuild, test, and debug the software packages and pipelines required for optimal extraction, loading, and transformation (ELT) of data from a wide variety of data sources.\nImplement best practices for data management, security, and governance.\nDocument data pipelines, data models, and reports.\n\nSummary:\nBehaviorally is a company specializing in data intelligence to influence consumer behavior at the point of purchase. We leverage the world’s largest database of behavioral consumer pack design metrics to help brands optimizing their packaging and drive sales. Our innovative tools are used by all major industry players to improve the in-store and online transactions in sectors such as Consumer Packaged Goods, Health and Well-Being, Technology, and Retail.\nBehaviorally is seeking a Data Engineer to design and develop large-scale data systems and high-performance data pipelines using Azure technologies. Ideal candidates thrive in a fast-paced environment and have a minimum of 5 years of experience in data management and integration, with expertise in Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and Kubernetes. Responsibilities include transforming structured and unstructured data into actionable insights, implementing data security best practices, and documenting data models and pipelines. Preferred candidates will have relevant Azure certifications and experience with data modeling, ETL processes, and BI solutions. Candidates must live within commuting distance to a Behaviorally office.","datePosted":"2026-04-12T20:29:42.251Z","dateModified":"2026-04-12T20:29:42.251Z","hiringOrganization":{"@type":"Organization","name":"Behaviorally","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Teaneck","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5100b29e64c665e28c00da65"},"url":"https://jobsearcher.com/jobs/5100b29e64c665e28c00da65"}}