{"schemaVersion":"jobsearcher.job.v1","id":"9d0323d7c9701fbe1a7fce44","url":"https://jobsearcher.com/jobs/9d0323d7c9701fbe1a7fce44","canonicalUrl":"https://jobsearcher.com/jobs/9d0323d7c9701fbe1a7fce44","title":"Data Engineer","description":"Overview\nIn this role you design, build, and operate data pipelines and integrations to deliver analytics-ready data for business initiatives. You’ll focus on governance, data quality, and secure data access, consolidating sources into a central SQL-based integration point. You’ll enable cross-team consumers with reliable, reusable data assets and collaborate within agile pods to accelerate delivery. This is a hands-on role at the data platform level, enabling scalable analytics and AI-enabled decision making.\n\nCompensation / Benefitsmedical, dental, and vision insurance401(k) retirement planhybrid work arrangementcomprehensive benefits package\nResponsibilitiesBuild and operationalize data pipelines across heterogeneous environments with governance and SLA alignmentDevelop ingestion, transformation, and publication processes to deliver analytics-ready dataConsolidate data from multiple sources into a centralized integration point and manage mappings/transformationsDesign and implement pipelines using Azure data technologies (Azure Data Factory, Databricks, Event Hubs, SSIS) for ingestion and processingBuild and maintain data warehousing capabilities (Azure Synapse Analytics) for analytics and reporting workloadsIdentify and resolve data quality, latency, security issues; monitor and optimize pipelinesContribute to data governance, profiling, quality rules, and remediation approachesCollaborate with engineers, analysts, and stakeholders in an Agile pod model to deliver reusable data assetsProduce reusable integration components that support multiple initiatives\nKey requirementsProficiency in SQL and PythonExperience with data pipeline tooling and cloud data services (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS)Data warehousing experience (Azure Synapse Analytics) and strong data modeling, warehousing, and governance fundamentalsScripting/automation skills (PowerShell) for platform operations and troubleshootingPreferred familiarity with Java, Scala, or Go; experience integrating data from enterprise sources into a central SQL-based integration layer; knowledge of DataOps and cross-functional teamworkCollaborationCross-functional teamworkProblem solvingSQLPythonAzure Data Factory","company":"DLA Piper","rawCompany":"dla piper","city":"Long Beach","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T03:47:13.299Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-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":"Overview\nIn this role you design, build, and operate data pipelines and integrations to deliver analytics-ready data for business initiatives. You’ll focus on governance, data quality, and secure data access, consolidating sources into a central SQL-based integration point. You’ll enable cross-team consumers with reliable, reusable data assets and collaborate within agile pods to accelerate delivery. This is a hands-on role at the data platform level, enabling scalable analytics and AI-enabled decision making.\n\nCompensation / Benefitsmedical, dental, and vision insurance401(k) retirement planhybrid work arrangementcomprehensive benefits package\nResponsibilitiesBuild and operationalize data pipelines across heterogeneous environments with governance and SLA alignmentDevelop ingestion, transformation, and publication processes to deliver analytics-ready dataConsolidate data from multiple sources into a centralized integration point and manage mappings/transformationsDesign and implement pipelines using Azure data technologies (Azure Data Factory, Databricks, Event Hubs, SSIS) for ingestion and processingBuild and maintain data warehousing capabilities (Azure Synapse Analytics) for analytics and reporting workloadsIdentify and resolve data quality, latency, security issues; monitor and optimize pipelinesContribute to data governance, profiling, quality rules, and remediation approachesCollaborate with engineers, analysts, and stakeholders in an Agile pod model to deliver reusable data assetsProduce reusable integration components that support multiple initiatives\nKey requirementsProficiency in SQL and PythonExperience with data pipeline tooling and cloud data services (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS)Data warehousing experience (Azure Synapse Analytics) and strong data modeling, warehousing, and governance fundamentalsScripting/automation skills (PowerShell) for platform operations and troubleshootingPreferred familiarity with Java, Scala, or Go; experience integrating data from enterprise sources into a central SQL-based integration layer; knowledge of DataOps and cross-functional teamworkCollaborationCross-functional teamworkProblem solvingSQLPythonAzure Data Factory","datePosted":"2026-09-15T03:47:13.299Z","dateModified":"2026-09-15T03:47:13.299Z","hiringOrganization":{"@type":"Organization","name":"DLA Piper","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Long Beach","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9d0323d7c9701fbe1a7fce44"},"url":"https://jobsearcher.com/jobs/9d0323d7c9701fbe1a7fce44"}}