{"schemaVersion":"jobsearcher.job.v1","id":"d9a2f4afba0bf3077467ca2d","url":"https://jobsearcher.com/jobs/d9a2f4afba0bf3077467ca2d","canonicalUrl":"https://jobsearcher.com/jobs/d9a2f4afba0bf3077467ca2d","title":"Databricks Data Engineer","description":"Position Available: Databricks Data EngineerLocation: Irving, TXSalary: $120,000 - $140,000Experience needed: Strong hands-on experience with Databricks, PySpark, and cloud-based data engineering, including building scalable ETL pipelines, data transformation frameworks, and large-scale data processing solutions.About the RoleWe're looking for a Databricks Data Engineer to join a large-scale data and analytics team, helping to design, build, and optimize modern data platforms within a cloud environment.This is a hands-on engineering role focused on Databricks, PySpark, Delta Lake, and cloud-native data solutions. You'll work closely with Data Scientists, Analysts, and Engineering teams to deliver scalable, secure, and high-performing data pipelines.Key ResponsibilitiesDesign, build, and maintain ETL/ELT pipelines using Databricks and PySparkDevelop batch and streaming data solutions using the Medallion ArchitectureImplement data governance, security, and access controls using Unity CatalogOptimize Spark workloads and Databricks environments for performance and cost efficiencySupport Data Scientists and Analytics teams with curated datasets and reporting solutionsParticipate in code reviews, troubleshooting, and continuous improvement initiativesCreate and maintain technical documentation for data pipelines and processesWhat we need from you:Strong hands-on experience with the Databricks Data Intelligence PlatformDatabricks Certification (Associate or Professional level preferred)Expertise in PySpark and Python developmentStrong SQL skills and experience with large-scale data processingExperience with Delta Lake, Unity Catalog, Auto Loader, Databricks Workflows, and MLflowExperience working with Databricks on AWS, Azure, or GCPKnowledge of data warehousing, ETL/ELT, distributed computing, and data modelling principlesExperience with Apache Iceberg would be highly beneficialExposure to CI/CD, Git, Airflow, or similar data engineering tooling is advantageousIf you'd like to learn more or register your interest, hit apply as we'd love to hear from you!","company":"Henderson Scott","rawCompany":"henderson scott","city":"Arlington","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-06-17T05:39:00.919Z","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":"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":"Databricks Data Engineer","description":"Position Available: Databricks Data EngineerLocation: Irving, TXSalary: $120,000 - $140,000Experience needed: Strong hands-on experience with Databricks, PySpark, and cloud-based data engineering, including building scalable ETL pipelines, data transformation frameworks, and large-scale data processing solutions.About the RoleWe're looking for a Databricks Data Engineer to join a large-scale data and analytics team, helping to design, build, and optimize modern data platforms within a cloud environment.This is a hands-on engineering role focused on Databricks, PySpark, Delta Lake, and cloud-native data solutions. You'll work closely with Data Scientists, Analysts, and Engineering teams to deliver scalable, secure, and high-performing data pipelines.Key ResponsibilitiesDesign, build, and maintain ETL/ELT pipelines using Databricks and PySparkDevelop batch and streaming data solutions using the Medallion ArchitectureImplement data governance, security, and access controls using Unity CatalogOptimize Spark workloads and Databricks environments for performance and cost efficiencySupport Data Scientists and Analytics teams with curated datasets and reporting solutionsParticipate in code reviews, troubleshooting, and continuous improvement initiativesCreate and maintain technical documentation for data pipelines and processesWhat we need from you:Strong hands-on experience with the Databricks Data Intelligence PlatformDatabricks Certification (Associate or Professional level preferred)Expertise in PySpark and Python developmentStrong SQL skills and experience with large-scale data processingExperience with Delta Lake, Unity Catalog, Auto Loader, Databricks Workflows, and MLflowExperience working with Databricks on AWS, Azure, or GCPKnowledge of data warehousing, ETL/ELT, distributed computing, and data modelling principlesExperience with Apache Iceberg would be highly beneficialExposure to CI/CD, Git, Airflow, or similar data engineering tooling is advantageousIf you'd like to learn more or register your interest, hit apply as we'd love to hear from you!","datePosted":"2026-06-17T05:39:00.919Z","dateModified":"2026-06-17T05:39:00.919Z","hiringOrganization":{"@type":"Organization","name":"Henderson Scott","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arlington","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d9a2f4afba0bf3077467ca2d"},"url":"https://jobsearcher.com/jobs/d9a2f4afba0bf3077467ca2d"}}