{"schemaVersion":"jobsearcher.job.v1","id":"3905c7d84e7e3ffe107067de","url":"https://jobsearcher.com/jobs/3905c7d84e7e3ffe107067de","canonicalUrl":"https://jobsearcher.com/jobs/3905c7d84e7e3ffe107067de","title":"Data Engineer","description":"We are seeking an experienced Senior Data Engineer to join a dynamic, enterprise-scale environment supporting large and complex data initiatives. This role involves designing and building modern data platforms, enabling advanced analytics, and driving data-driven decision-making.⚠️ Note: Candidates must be local to Los Angeles, California and willing to work in a hybrid setup.Key ResponsibilitiesDesign, build, and maintain scalable ETL/ELT data pipelinesDevelop robust solutions using Azure Data Factory, Data Lake, and related servicesWork with Databricks, Apache Spark, and PySpark for large-scale data processingImplement data modeling, schema design, and data warehousing solutionsCollaborate with cross-functional teams to support analytics, reporting, and AI/ML initiativesEnsure data governance, security, and compliance standardsAutomate deployments using CI/CD pipelines, GitHub, and TerraformOptimize performance and troubleshoot complex data issuesRequired Skills & ExperienceStrong experience with Azure ecosystem (ADF, Data Lake, Functions, Blob Storage)Hands-on experience with Databricks, Spark, and PySparkAdvanced proficiency in Python and SQLExperience building data pipelines and data warehouse solutionsFamiliarity with BI tools (Power BI, Tableau)Knowledge of data governance, RBAC/ABAC, and data security practicesExperience with CI/CD, Terraform, and infrastructure automationPreferred QualificationsExperience working with AI/ML or predictive analytics solutionsExposure to enterprise data architecture and large-scale systemsStrong understanding of OLAP/OLTP systems and performance tuningBachelor's degree in Computer Science, IT, or related field","company":"Cxc","rawCompany":"cxc","city":"Los Angeles","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-05-17T18:26:29.363Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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":"We are seeking an experienced Senior Data Engineer to join a dynamic, enterprise-scale environment supporting large and complex data initiatives. This role involves designing and building modern data platforms, enabling advanced analytics, and driving data-driven decision-making.⚠️ Note: Candidates must be local to Los Angeles, California and willing to work in a hybrid setup.Key ResponsibilitiesDesign, build, and maintain scalable ETL/ELT data pipelinesDevelop robust solutions using Azure Data Factory, Data Lake, and related servicesWork with Databricks, Apache Spark, and PySpark for large-scale data processingImplement data modeling, schema design, and data warehousing solutionsCollaborate with cross-functional teams to support analytics, reporting, and AI/ML initiativesEnsure data governance, security, and compliance standardsAutomate deployments using CI/CD pipelines, GitHub, and TerraformOptimize performance and troubleshoot complex data issuesRequired Skills & ExperienceStrong experience with Azure ecosystem (ADF, Data Lake, Functions, Blob Storage)Hands-on experience with Databricks, Spark, and PySparkAdvanced proficiency in Python and SQLExperience building data pipelines and data warehouse solutionsFamiliarity with BI tools (Power BI, Tableau)Knowledge of data governance, RBAC/ABAC, and data security practicesExperience with CI/CD, Terraform, and infrastructure automationPreferred QualificationsExperience working with AI/ML or predictive analytics solutionsExposure to enterprise data architecture and large-scale systemsStrong understanding of OLAP/OLTP systems and performance tuningBachelor's degree in Computer Science, IT, or related field","datePosted":"2026-05-17T18:26:29.363Z","dateModified":"2026-05-17T18:26:29.363Z","hiringOrganization":{"@type":"Organization","name":"Cxc","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3905c7d84e7e3ffe107067de"},"url":"https://jobsearcher.com/jobs/3905c7d84e7e3ffe107067de"}}