{"schemaVersion":"jobsearcher.job.v1","id":"7872f4bf4ecdfd3477f784b7","url":"https://jobsearcher.com/jobs/7872f4bf4ecdfd3477f784b7","canonicalUrl":"https://jobsearcher.com/jobs/7872f4bf4ecdfd3477f784b7","title":"Databricks Data Engineer","description":"Senior Databricks Data EngineerJahnel Group's mission is to provide the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work. This is a full-time position with one of our closest clients supporting a Federal government project.Who We're Looking ForWe're looking for a hands-on Senior Databricks Data Engineer who enjoys building reliable, scalable data platforms and solving complex data engineering problems.This is a highly technical role focused on designing, building, and maintaining production-grade data pipelines and data processing systems using Databricks, PySpark, and SQL. You'll work across batch and streaming workloads, data ingestion, transformation, data modeling, orchestration, and data quality.The ideal candidate is comfortable working independently in a cloud-based environment, understands modern data architecture patterns, and can take ownership of data solutions from design through production.The ideal candidate:Has strong hands-on experience building production data pipelines with Databricks and PySparkThinks in terms of data architecture, scalability, reliability, and maintainabilityCan work across both batch and real-time data processing environmentsUnderstands how to structure and curate data using modern lakehouse architectureIs comfortable working with structured, semi-structured, and unstructured dataCan troubleshoot and optimize Spark workloads for both performance and costTakes ownership of data quality, monitoring, documentation, and operational reliabilityCommunicates technical decisions clearly and works effectively in an Agile environmentResponsibilitiesDesign, build, and maintain production-grade batch and streaming data pipelines using Databricks, PySpark, SQL, and PythonDevelop data workflows using Databricks Workflows and Delta Live Tables (DLT)Implement Medallion architecture patterns across bronze, silver, and gold data layersBuild scalable ingestion frameworks for structured, semi-structured, and unstructured dataIntegrate data from files, databases, APIs, and streaming sourcesWork with technologies such as Kafka, Kinesis, and Auto Loader for data ingestion and streaming workloadsDesign dimensional and domain-specific data models to support downstream analytics and applicationsBuild and consume APIs to support data integration with downstream systemsOptimize Spark jobs through partitioning, caching, cluster configuration, and other performance techniquesImplement data quality checks, validation, monitoring, and pipeline health processesWork with Unity Catalog to support data organization, access controls, and governanceDocument data flows, lineage, architecture, and technical processesCollaborate with technical and business stakeholders to understand data requirements and deliver reliable solutionsParticipate in code reviews, testing, deployment, and ongoing production supportContribute to CI/CD workflows and engineering practices that improve the reliability and maintainability of the data platformSome Must-HavesActive U.S. Secret security clearance or higher5+ years of professional data engineering experience2+ years of hands-on Databricks experienceStrong production experience with PySpark and SQLStrong Python development skillsExperience building and supporting both batch and streaming data pipelinesSolid understanding of data modeling and modern data architecture principlesExperience working with structured, semi-structured, and unstructured dataExperience with Git-based development and CI/CD workflowsExperience working with Unity Catalog, including catalogs, schemas, and grantsExperience optimizing Spark workloads for performance and costStrong understanding of data quality, pipeline monitoring, and production supportU.S. citizenship and current residence in the United StatesTechnical RequirementsDatabricksPySparkSQLPythonDatabricks WorkflowsDelta Live Tables (DLT)KafkaAmazon KinesisAuto LoaderUnity CatalogGitCI/CDAPIsSparkData modelingBatch and streaming data processingNice-to-HavesExperience with Delta Live Tables (DLT)Experience with KafkaExperience with Amazon KinesisExperience with Databricks Auto LoaderExperience building reusable data ingestion frameworksExperience with dimensional data modelingExperience documenting data lineage and data flowsExperience working in Federal or other highly regulated environmentsExperience supporting cloud-based data platformsBachelor's degree in Computer Science, Engineering, or a related fieldExperience working in Agile development environmentsWhere We're Looking For ItRemote - U.S.-basedCompensation Package (Salary Transparency for US-Based Employees)Salary Range: $100,000 - $130,000Candidates must reside in the United States and be U.S. citizens.Active Secret security clearance or higher is required. Candidates without an active Secret clearance will not be considered.","company":"Jahnel Group","rawCompany":"jahnel group","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-15T12:57:23.474Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"Senior Databricks Data EngineerJahnel Group's mission is to provide the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work. This is a full-time position with one of our closest clients supporting a Federal government project.Who We're Looking ForWe're looking for a hands-on Senior Databricks Data Engineer who enjoys building reliable, scalable data platforms and solving complex data engineering problems.This is a highly technical role focused on designing, building, and maintaining production-grade data pipelines and data processing systems using Databricks, PySpark, and SQL. You'll work across batch and streaming workloads, data ingestion, transformation, data modeling, orchestration, and data quality.The ideal candidate is comfortable working independently in a cloud-based environment, understands modern data architecture patterns, and can take ownership of data solutions from design through production.The ideal candidate:Has strong hands-on experience building production data pipelines with Databricks and PySparkThinks in terms of data architecture, scalability, reliability, and maintainabilityCan work across both batch and real-time data processing environmentsUnderstands how to structure and curate data using modern lakehouse architectureIs comfortable working with structured, semi-structured, and unstructured dataCan troubleshoot and optimize Spark workloads for both performance and costTakes ownership of data quality, monitoring, documentation, and operational reliabilityCommunicates technical decisions clearly and works effectively in an Agile environmentResponsibilitiesDesign, build, and maintain production-grade batch and streaming data pipelines using Databricks, PySpark, SQL, and PythonDevelop data workflows using Databricks Workflows and Delta Live Tables (DLT)Implement Medallion architecture patterns across bronze, silver, and gold data layersBuild scalable ingestion frameworks for structured, semi-structured, and unstructured dataIntegrate data from files, databases, APIs, and streaming sourcesWork with technologies such as Kafka, Kinesis, and Auto Loader for data ingestion and streaming workloadsDesign dimensional and domain-specific data models to support downstream analytics and applicationsBuild and consume APIs to support data integration with downstream systemsOptimize Spark jobs through partitioning, caching, cluster configuration, and other performance techniquesImplement data quality checks, validation, monitoring, and pipeline health processesWork with Unity Catalog to support data organization, access controls, and governanceDocument data flows, lineage, architecture, and technical processesCollaborate with technical and business stakeholders to understand data requirements and deliver reliable solutionsParticipate in code reviews, testing, deployment, and ongoing production supportContribute to CI/CD workflows and engineering practices that improve the reliability and maintainability of the data platformSome Must-HavesActive U.S. Secret security clearance or higher5+ years of professional data engineering experience2+ years of hands-on Databricks experienceStrong production experience with PySpark and SQLStrong Python development skillsExperience building and supporting both batch and streaming data pipelinesSolid understanding of data modeling and modern data architecture principlesExperience working with structured, semi-structured, and unstructured dataExperience with Git-based development and CI/CD workflowsExperience working with Unity Catalog, including catalogs, schemas, and grantsExperience optimizing Spark workloads for performance and costStrong understanding of data quality, pipeline monitoring, and production supportU.S. citizenship and current residence in the United StatesTechnical RequirementsDatabricksPySparkSQLPythonDatabricks WorkflowsDelta Live Tables (DLT)KafkaAmazon KinesisAuto LoaderUnity CatalogGitCI/CDAPIsSparkData modelingBatch and streaming data processingNice-to-HavesExperience with Delta Live Tables (DLT)Experience with KafkaExperience with Amazon KinesisExperience with Databricks Auto LoaderExperience building reusable data ingestion frameworksExperience with dimensional data modelingExperience documenting data lineage and data flowsExperience working in Federal or other highly regulated environmentsExperience supporting cloud-based data platformsBachelor's degree in Computer Science, Engineering, or a related fieldExperience working in Agile development environmentsWhere We're Looking For ItRemote - U.S.-basedCompensation Package (Salary Transparency for US-Based Employees)Salary Range: $100,000 - $130,000Candidates must reside in the United States and be U.S. citizens.Active Secret security clearance or higher is required. Candidates without an active Secret clearance will not be considered.","datePosted":"2026-10-15T12:57:23.474Z","dateModified":"2026-10-15T12:57:23.474Z","hiringOrganization":{"@type":"Organization","name":"Jahnel Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7872f4bf4ecdfd3477f784b7"},"url":"https://jobsearcher.com/jobs/7872f4bf4ecdfd3477f784b7"}}