{"schemaVersion":"jobsearcher.job.v1","id":"428b8a180948a8d9e61fb08c","url":"https://jobsearcher.com/jobs/428b8a180948a8d9e61fb08c","canonicalUrl":"https://jobsearcher.com/jobs/428b8a180948a8d9e61fb08c","title":"Databricks Data Engineer","description":"About Our Team\n\nOur employees thrive in a culture that's fast-paced and ego-free, where innovation and collaboration are encouraged at every turn. We are an organization that provides federal agencies instant access to experienced and talented professionals who understand their unique challenges and know the most efficient ways to address them. We are continually investing in resources and talent, so we stay prepared with specialized teams in place who are experts in creating tailored technologies. Our solutions empower Federal organizations to grow, modernize, and succeed in a rapidly evolving landscape.\n\nWe value all voices and want to attract talent from all backgrounds. We're on the lookout for individuals who are passionate about technology and thrive in environments where problem-solving is approached with creativity and enthusiasm. If you're someone who enjoys continuously expanding your skill set while tackling real-world business problems, you'll feel right at home with us. Veterans and military spouses are especially encouraged to bring your unique and valuable experience to our team.\n\nAbout the Role:\n\nWe are seeking a hands-on Databricks Engineer to design, build, and operate scalable data and analytics solutions on the Databricks Lakehouse platform in support of federal mission needs. The ideal candidate will have strong practical experience with Apache Spark, Delta Lake, and Unity Catalog, along with a solid understanding of modern data architecture patterns such as the medallion architecture and structured streaming. This role involves developing and optimizing data pipelines, implementing data governance and security controls, enabling advanced analytics and machine learning, and collaborating with cross-functional teams within a compliance-driven federal environment. By joining our organization, you'll help modernize how federal agencies use data to make better decisions and deliver better outcomes for the people they serve!\n\n Key Responsibilities\n\nDesign, develop, and maintain scalable batch and streaming data pipelines using Databricks, Apache Spark, PySpark, and Spark SQL.\nBuild and manage Delta Lake tables using the medallion (bronze/silver/gold) architecture to deliver reliable, analytics-ready data.\nDevelop real-time and near-real-time data ingestion solutions using Spark Structured Streaming and messaging platforms such as Kafka.\nConfigure and manage Databricks clusters, jobs, and workflows in production environments.\nImplement data governance, access controls, and security best practices using Unity Catalog.\nIntegrate data from a variety of source systems and destinations, supporting ETL/ELT and pipeline orchestration activities.\nOptimize existing data workflows and Spark jobs for performance, reliability, and cost efficiency.\nIntegrate Databricks development with CI/CD pipelines and enterprise SDLC tooling, including Git-based version control.\nCollaborate with data scientists and analysts to define data models and support machine learning and AI use cases, including model lifecycle management with MLflow.\nSupport advanced analytics use cases such as anomaly detection, risk scoring, and fraud analytics.\nMonitor and troubleshoot data processing jobs, implementing data quality checks and observability to ensure high availability.\nDocument data processes, frameworks, pipelines, and data mappings for technical and non-technical audiences.\nWork closely with scrum teams, product owners, and client stakeholders to deliver end-to-end data solutions.\nStay current on Databricks platform capabilities and industry trends to recommend best-fit tools and technologies.\n\nTAG: #LI-I4DM\n\nTAG: INDMJC\n\nRequirements:\n\nQualifications\n\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).\n4+ years of experience in data engineering, analytics engineering, or big data development.\n2+ years of hands-on experience with the Databricks platform.\nProficiency in Apache Spark, PySpark, and Spark SQL.\nExperience with Databricks clusters, jobs/workflows, Delta Lake, and Unity Catalog in production environments.\nExperience with medallion architecture and Spark Structured Streaming.\nStrong Python and SQL skills for data engineering and data analysis.\nExperience with ETL/ELT processes and data pipeline orchestration.\nFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud and their native data services.\nExperience integrating data solutions with CI/CD pipelines and Git-based version control workflows.\nUnderstanding of data governance, security, and access control best practices.\nExperience working in Agile development environments.\nAbility to obtain and maintain a Public Trust determination.\nExcellent analytical, problem-solving, and communication skills, with the ability to work with both technical and non-technical stakeholders.\n\nPreferred Qualifications\n\nDatabricks certification (e.g., Databricks Certified Data Engineer Associate/Professional) or cloud platform certification.\nExperience implementing ML or AI solutions in Databricks, including MLflow-based model lifecycle management.\nKnowledge of machine learning, AI, or Natural Language Processing (NLP) techniques, including text mining.\nExperience supporting fraud analytics, risk scoring, or anomaly detection.\nExperience with distributed data and streaming tools such as Kafka, Hadoop, Hive, or Amazon EMR.\nExperience with data quality frameworks and observability/monitoring tooling.\nExperience with NoSQL databases.\nExperience with visualization packages such as Plotly, Seaborn, or ggplot2.\nExperience supporting federal government or regulated-industry programs, especially the Department of Veterans Affairs.","company":"I4dm","rawCompany":"i4dm","city":"Myrtle Point","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-09-28T11:54:14.823Z","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":"About Our Team\n\nOur employees thrive in a culture that's fast-paced and ego-free, where innovation and collaboration are encouraged at every turn. We are an organization that provides federal agencies instant access to experienced and talented professionals who understand their unique challenges and know the most efficient ways to address them. We are continually investing in resources and talent, so we stay prepared with specialized teams in place who are experts in creating tailored technologies. Our solutions empower Federal organizations to grow, modernize, and succeed in a rapidly evolving landscape.\n\nWe value all voices and want to attract talent from all backgrounds. We're on the lookout for individuals who are passionate about technology and thrive in environments where problem-solving is approached with creativity and enthusiasm. If you're someone who enjoys continuously expanding your skill set while tackling real-world business problems, you'll feel right at home with us. Veterans and military spouses are especially encouraged to bring your unique and valuable experience to our team.\n\nAbout the Role:\n\nWe are seeking a hands-on Databricks Engineer to design, build, and operate scalable data and analytics solutions on the Databricks Lakehouse platform in support of federal mission needs. The ideal candidate will have strong practical experience with Apache Spark, Delta Lake, and Unity Catalog, along with a solid understanding of modern data architecture patterns such as the medallion architecture and structured streaming. This role involves developing and optimizing data pipelines, implementing data governance and security controls, enabling advanced analytics and machine learning, and collaborating with cross-functional teams within a compliance-driven federal environment. By joining our organization, you'll help modernize how federal agencies use data to make better decisions and deliver better outcomes for the people they serve!\n\n Key Responsibilities\n\nDesign, develop, and maintain scalable batch and streaming data pipelines using Databricks, Apache Spark, PySpark, and Spark SQL.\nBuild and manage Delta Lake tables using the medallion (bronze/silver/gold) architecture to deliver reliable, analytics-ready data.\nDevelop real-time and near-real-time data ingestion solutions using Spark Structured Streaming and messaging platforms such as Kafka.\nConfigure and manage Databricks clusters, jobs, and workflows in production environments.\nImplement data governance, access controls, and security best practices using Unity Catalog.\nIntegrate data from a variety of source systems and destinations, supporting ETL/ELT and pipeline orchestration activities.\nOptimize existing data workflows and Spark jobs for performance, reliability, and cost efficiency.\nIntegrate Databricks development with CI/CD pipelines and enterprise SDLC tooling, including Git-based version control.\nCollaborate with data scientists and analysts to define data models and support machine learning and AI use cases, including model lifecycle management with MLflow.\nSupport advanced analytics use cases such as anomaly detection, risk scoring, and fraud analytics.\nMonitor and troubleshoot data processing jobs, implementing data quality checks and observability to ensure high availability.\nDocument data processes, frameworks, pipelines, and data mappings for technical and non-technical audiences.\nWork closely with scrum teams, product owners, and client stakeholders to deliver end-to-end data solutions.\nStay current on Databricks platform capabilities and industry trends to recommend best-fit tools and technologies.\n\nTAG: #LI-I4DM\n\nTAG: INDMJC\n\nRequirements:\n\nQualifications\n\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).\n4+ years of experience in data engineering, analytics engineering, or big data development.\n2+ years of hands-on experience with the Databricks platform.\nProficiency in Apache Spark, PySpark, and Spark SQL.\nExperience with Databricks clusters, jobs/workflows, Delta Lake, and Unity Catalog in production environments.\nExperience with medallion architecture and Spark Structured Streaming.\nStrong Python and SQL skills for data engineering and data analysis.\nExperience with ETL/ELT processes and data pipeline orchestration.\nFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud and their native data services.\nExperience integrating data solutions with CI/CD pipelines and Git-based version control workflows.\nUnderstanding of data governance, security, and access control best practices.\nExperience working in Agile development environments.\nAbility to obtain and maintain a Public Trust determination.\nExcellent analytical, problem-solving, and communication skills, with the ability to work with both technical and non-technical stakeholders.\n\nPreferred Qualifications\n\nDatabricks certification (e.g., Databricks Certified Data Engineer Associate/Professional) or cloud platform certification.\nExperience implementing ML or AI solutions in Databricks, including MLflow-based model lifecycle management.\nKnowledge of machine learning, AI, or Natural Language Processing (NLP) techniques, including text mining.\nExperience supporting fraud analytics, risk scoring, or anomaly detection.\nExperience with distributed data and streaming tools such as Kafka, Hadoop, Hive, or Amazon EMR.\nExperience with data quality frameworks and observability/monitoring tooling.\nExperience with NoSQL databases.\nExperience with visualization packages such as Plotly, Seaborn, or ggplot2.\nExperience supporting federal government or regulated-industry programs, especially the Department of Veterans Affairs.","datePosted":"2026-09-28T11:54:14.823Z","dateModified":"2026-09-28T11:54:14.823Z","hiringOrganization":{"@type":"Organization","name":"I4dm","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Myrtle Point","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"428b8a180948a8d9e61fb08c"},"url":"https://jobsearcher.com/jobs/428b8a180948a8d9e61fb08c"}}