{"schemaVersion":"jobsearcher.job.v1","id":"2f82c8e203cc5d8520b7796b","url":"https://jobsearcher.com/jobs/2f82c8e203cc5d8520b7796b","canonicalUrl":"https://jobsearcher.com/jobs/2f82c8e203cc5d8520b7796b","title":"Databricks Engineer","description":"Clearance Level\nNone\nCategory\nData Science and Data Engineering\nLocations\nRemote, Working from the USA\nGaithersburg, Maryland\n(Hybrid Workplace)\n\nKey Skills For Success\n\nCloud Technology\n\nDatabricks Lakeflow\n\nDatabricks Platform\n\nDatabricks Unity Catalog\n\nData Lake\n\nREQ#: RQ227975\nPublic Trust: None\nRequisition Type: Regular\nYour Impact\n\nOwn your opportunity to be on the frontlines of health innovation. Deliver for America’s health agency missions and enhance lives for hundreds of millions every day.\n\nJob Description\n\nGDIT is seeking a Databricks Engineer to help build and operate modern data solutions supporting the NIA Data Enclave. In this role, you will design, develop, and optimize scalable data pipelines that enable researchers and analysts to securely work with sensitive federal and non-federal datasets.\n\nYou will work at the intersection of data engineering, cloud technology, and mission-focused analytics, partnering with data scientists, researchers, software engineers, architects, and platform teams to turn complex data into reliable, governed, and accessible analytical resources.\n\nThis is an opportunity to apply your Databricks and Spark expertise to a mission where data quality, security, scalability, and reliability matter.\n\nHow You'll Make an Impact\n\nAs a Databricks Engineer, you will:\n\nDesign, build, and optimize scalable ETL/ELT pipelines using Databricks, PySpark, SQL, and Delta Lake.\nDevelop and maintain Databricks notebooks, jobs, and workflows that support high-volume analytical workloads.\nBuild reliable data ingestion, transformation, validation, and integration processes.\nHelp migrate and modernize existing data workloads for improved scalability, performance, and maintainability.\nOptimize Spark workloads through effective partitioning, caching, joins, file management, and other performance-tuning techniques.\nImplement automated testing, data quality checks, monitoring, logging, and operational processes.\nSupport CI/CD and infrastructure automation for Databricks workloads using Git and tools such as Azure DevOps or GitHub Actions.\nConfigure and optimize Databricks compute, clusters, runtimes, and job execution.\nWork within secure, role-based cloud environments and help implement appropriate data governance and access controls.\nTroubleshoot production issues, perform root-cause analysis, and continuously improve the reliability of data services.\nCollaborate with data scientists, researchers, analysts, and other engineers to deliver high-quality analytical datasets.\n\nWhat You'll Need to Succeed\n\nBachelor's degree in computer science, software engineering, data engineering, or a related technical field.\n5+ years of data engineering experience, including significant hands-on experience with Databricks.\nStrong experience with PySpark, SQL, Apache Spark, Delta Lake, and Databricks.\nExperience developing production-grade data pipelines and workflows.\nExperience working with cloud-based data platforms and storage such as AWS S3, Azure Data Lake Storage, or Google Cloud Storage.\nExperience with Git and CI/CD practices for deploying and managing data engineering workloads.\nUnderstanding of distributed data processing, data modeling, data quality, and pipeline performance optimization.\nExperience troubleshooting and supporting production data workloads.\nUnderstanding of cloud security concepts such as role-based access control, identity management, least-privilege access, and data protection.\nStrong communication skills and the ability to collaborate effectively with technical and mission-focused stakeholders.\n\nPreferred Qualifications\n\nExperience with Databricks Unity Catalog and enterprise data governance.\nExperience working in FISMA Moderate/High or other regulated environments.\nExperience with AWS, Azure, and/or GCP in a multi-cloud environment.\nFamiliarity with CMS, federal, healthcare, biomedical, or other sensitive datasets.\nExperience with secure data enclaves, restricted-access environments, or federated data platforms.\nExperience with Terraform or other infrastructure-as-code technologies.\nExperience with Databricks Lakeflow Declarative Pipelines / Delta Live Tables.\nExperience implementing data lineage, metadata management, monitoring, and audit-ready logging.\nFamiliarity with Databricks APIs, SDKs, or automation frameworks.\n\nWhy GDIT?\n\nAt GDIT, you'll have the opportunity to apply modern data engineering technologies to meaningful mission challenges. You'll work with a collaborative team of engineers, architects, researchers, and data professionals while helping build secure and scalable capabilities for an environment where trustworthy data can directly enable better research and decision-making.\n\nIf you're a hands-on data engineer who enjoys solving complex data problems and wants to apply your Databricks expertise to an important mission, we'd like to hear from you.\n\nWork Requirements\nYears of Experience\n\n7 + years of related experience\n\n* may vary based on technical training, certification(s), or degree\n\nCertification\n\nTravel Required\n\n10-25%\n\nSalary and Benefit Information\n\nThe likely salary range for this position is $140,250 - $189,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.\n\nOur Identity Verification Process\n\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.\n\nAbout Our Work\n\nWe are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.\n\nJoin our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.\n\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","company":"General Dynamics Information Technology","rawCompany":"generaldynamicsinformationtechnology","city":"Gaithersburg","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-09-14T10:25:07.276Z","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":"Databricks Engineer","description":"Clearance Level\nNone\nCategory\nData Science and Data Engineering\nLocations\nRemote, Working from the USA\nGaithersburg, Maryland\n(Hybrid Workplace)\n\nKey Skills For Success\n\nCloud Technology\n\nDatabricks Lakeflow\n\nDatabricks Platform\n\nDatabricks Unity Catalog\n\nData Lake\n\nREQ#: RQ227975\nPublic Trust: None\nRequisition Type: Regular\nYour Impact\n\nOwn your opportunity to be on the frontlines of health innovation. Deliver for America’s health agency missions and enhance lives for hundreds of millions every day.\n\nJob Description\n\nGDIT is seeking a Databricks Engineer to help build and operate modern data solutions supporting the NIA Data Enclave. In this role, you will design, develop, and optimize scalable data pipelines that enable researchers and analysts to securely work with sensitive federal and non-federal datasets.\n\nYou will work at the intersection of data engineering, cloud technology, and mission-focused analytics, partnering with data scientists, researchers, software engineers, architects, and platform teams to turn complex data into reliable, governed, and accessible analytical resources.\n\nThis is an opportunity to apply your Databricks and Spark expertise to a mission where data quality, security, scalability, and reliability matter.\n\nHow You'll Make an Impact\n\nAs a Databricks Engineer, you will:\n\nDesign, build, and optimize scalable ETL/ELT pipelines using Databricks, PySpark, SQL, and Delta Lake.\nDevelop and maintain Databricks notebooks, jobs, and workflows that support high-volume analytical workloads.\nBuild reliable data ingestion, transformation, validation, and integration processes.\nHelp migrate and modernize existing data workloads for improved scalability, performance, and maintainability.\nOptimize Spark workloads through effective partitioning, caching, joins, file management, and other performance-tuning techniques.\nImplement automated testing, data quality checks, monitoring, logging, and operational processes.\nSupport CI/CD and infrastructure automation for Databricks workloads using Git and tools such as Azure DevOps or GitHub Actions.\nConfigure and optimize Databricks compute, clusters, runtimes, and job execution.\nWork within secure, role-based cloud environments and help implement appropriate data governance and access controls.\nTroubleshoot production issues, perform root-cause analysis, and continuously improve the reliability of data services.\nCollaborate with data scientists, researchers, analysts, and other engineers to deliver high-quality analytical datasets.\n\nWhat You'll Need to Succeed\n\nBachelor's degree in computer science, software engineering, data engineering, or a related technical field.\n5+ years of data engineering experience, including significant hands-on experience with Databricks.\nStrong experience with PySpark, SQL, Apache Spark, Delta Lake, and Databricks.\nExperience developing production-grade data pipelines and workflows.\nExperience working with cloud-based data platforms and storage such as AWS S3, Azure Data Lake Storage, or Google Cloud Storage.\nExperience with Git and CI/CD practices for deploying and managing data engineering workloads.\nUnderstanding of distributed data processing, data modeling, data quality, and pipeline performance optimization.\nExperience troubleshooting and supporting production data workloads.\nUnderstanding of cloud security concepts such as role-based access control, identity management, least-privilege access, and data protection.\nStrong communication skills and the ability to collaborate effectively with technical and mission-focused stakeholders.\n\nPreferred Qualifications\n\nExperience with Databricks Unity Catalog and enterprise data governance.\nExperience working in FISMA Moderate/High or other regulated environments.\nExperience with AWS, Azure, and/or GCP in a multi-cloud environment.\nFamiliarity with CMS, federal, healthcare, biomedical, or other sensitive datasets.\nExperience with secure data enclaves, restricted-access environments, or federated data platforms.\nExperience with Terraform or other infrastructure-as-code technologies.\nExperience with Databricks Lakeflow Declarative Pipelines / Delta Live Tables.\nExperience implementing data lineage, metadata management, monitoring, and audit-ready logging.\nFamiliarity with Databricks APIs, SDKs, or automation frameworks.\n\nWhy GDIT?\n\nAt GDIT, you'll have the opportunity to apply modern data engineering technologies to meaningful mission challenges. You'll work with a collaborative team of engineers, architects, researchers, and data professionals while helping build secure and scalable capabilities for an environment where trustworthy data can directly enable better research and decision-making.\n\nIf you're a hands-on data engineer who enjoys solving complex data problems and wants to apply your Databricks expertise to an important mission, we'd like to hear from you.\n\nWork Requirements\nYears of Experience\n\n7 + years of related experience\n\n* may vary based on technical training, certification(s), or degree\n\nCertification\n\nTravel Required\n\n10-25%\n\nSalary and Benefit Information\n\nThe likely salary range for this position is $140,250 - $189,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.\n\nOur Identity Verification Process\n\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.\n\nAbout Our Work\n\nWe are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.\n\nJoin our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.\n\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","datePosted":"2026-09-14T10:25:07.276Z","dateModified":"2026-09-14T10:25:07.276Z","hiringOrganization":{"@type":"Organization","name":"General Dynamics Information Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gaithersburg","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2f82c8e203cc5d8520b7796b"},"url":"https://jobsearcher.com/jobs/2f82c8e203cc5d8520b7796b"}}