{"schemaVersion":"jobsearcher.job.v1","id":"bac7021be5b02d51cdbd20c6","url":"https://jobsearcher.com/jobs/bac7021be5b02d51cdbd20c6","canonicalUrl":"https://jobsearcher.com/jobs/bac7021be5b02d51cdbd20c6","title":"Databricks Developer (Java & Apache Spark) with IRS MBI Clearance required","description":"Databricks Developer (Java & Apache Spark) with IRS MBI Clearance required\r\nLocation: Remote\r\nDuration: Full-Time\r\nNEED IRS MBI Clearance.\r\nWe are looking for a Databricks Developer who can design, build, and support large-scale data processing solutions. This role focuses on working with complex, high-volume data in a secure environment. You should be comfortable writing clean Java code, building Spark jobs, and improving performance in distributed systems.\r\nYou'll work closely with engineers, analysts, and business teams to deliver reliable data pipelines that scale well and meet security and compliance requirements.\r\nWhat You'll Do\r\nBuild and maintain data pipelines using Apache Spark on Databricks.\r\nWrite clean and efficient Java (Java 8 or higher) following best coding practices.\r\nWork with large structured and semi-structured data sets.\r\nTune Spark jobs to improve performance, stability, and cost.\r\nPartner with other teams to understand requirements and deliver solutions.\r\nMake sure data handling follows security and governance standards.\r\nInvestigate and fix issues in production environments.\r\nWhat We're Looking For\r\nActive federal background clearance (client-issued laptop is a plus).\r\nBachelor's degree in Computer Science or a related field.\r\n8+ years of hands-on experience in data engineering or big-data development.\r\nTechnical Skills\r\nData & Systems: Experience working with large enterprise or government data systems; good understanding of data structures, security, and compliance.\r\nJava: Strong experience with Java 8 or newer; comfortable with Streams, Lambdas, and object-oriented design.\r\nSpark: Hands-on experience with Spark Core, Spark SQL, and DataFrames; understanding of RDDs and their use; experience with batch processing and streaming; strong skills in Spark performance tuning; able to debug jobs using Spark UI and logs.\r\nTools: Experience with HDFS, Hive, or HBase; familiar with Kafka, S3, or cloud-based data lakes; experience with Parquet, Avro, or ORC formats.\r\nETL & Data Processing: Experience building batch and real-time ETL pipelines; skilled in data cleansing, transformation, and enrichment.\r\nDevOps & Deployment: Experience running Spark on YARN, Kubernetes, or cloud platforms; familiar with CI/CD tools like Jenkins or GitHub Actions; experience with monitoring tools and production logs.\r\nTesting & Code Quality: Unit testing using JUnit or TestNG; experience with Mockito or similar tools; comfortable validating data and testing Spark jobs.\r\nWays You'll Succeed\r\nWork in Agile teams.\r\nStay calm and focused when troubleshooting production issues.\r\nNice to Have\r\nExperience with Scala or Python in Spark.\r\nHands-on experience with Databricks or Google Dataproc.\r\nKnowledge of Delta Lake or Apache Iceberg.\r\nBackground in data modeling and performance design.\r\nJ-18808-Ljbffr","company":"3m Consultancy","rawCompany":"3m consultancy","city":"Olympia","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:37:27.532Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Databricks Developer (Java & Apache Spark) with IRS MBI Clearance required","description":"Databricks Developer (Java & Apache Spark) with IRS MBI Clearance required\r\nLocation: Remote\r\nDuration: Full-Time\r\nNEED IRS MBI Clearance.\r\nWe are looking for a Databricks Developer who can design, build, and support large-scale data processing solutions. This role focuses on working with complex, high-volume data in a secure environment. You should be comfortable writing clean Java code, building Spark jobs, and improving performance in distributed systems.\r\nYou'll work closely with engineers, analysts, and business teams to deliver reliable data pipelines that scale well and meet security and compliance requirements.\r\nWhat You'll Do\r\nBuild and maintain data pipelines using Apache Spark on Databricks.\r\nWrite clean and efficient Java (Java 8 or higher) following best coding practices.\r\nWork with large structured and semi-structured data sets.\r\nTune Spark jobs to improve performance, stability, and cost.\r\nPartner with other teams to understand requirements and deliver solutions.\r\nMake sure data handling follows security and governance standards.\r\nInvestigate and fix issues in production environments.\r\nWhat We're Looking For\r\nActive federal background clearance (client-issued laptop is a plus).\r\nBachelor's degree in Computer Science or a related field.\r\n8+ years of hands-on experience in data engineering or big-data development.\r\nTechnical Skills\r\nData & Systems: Experience working with large enterprise or government data systems; good understanding of data structures, security, and compliance.\r\nJava: Strong experience with Java 8 or newer; comfortable with Streams, Lambdas, and object-oriented design.\r\nSpark: Hands-on experience with Spark Core, Spark SQL, and DataFrames; understanding of RDDs and their use; experience with batch processing and streaming; strong skills in Spark performance tuning; able to debug jobs using Spark UI and logs.\r\nTools: Experience with HDFS, Hive, or HBase; familiar with Kafka, S3, or cloud-based data lakes; experience with Parquet, Avro, or ORC formats.\r\nETL & Data Processing: Experience building batch and real-time ETL pipelines; skilled in data cleansing, transformation, and enrichment.\r\nDevOps & Deployment: Experience running Spark on YARN, Kubernetes, or cloud platforms; familiar with CI/CD tools like Jenkins or GitHub Actions; experience with monitoring tools and production logs.\r\nTesting & Code Quality: Unit testing using JUnit or TestNG; experience with Mockito or similar tools; comfortable validating data and testing Spark jobs.\r\nWays You'll Succeed\r\nWork in Agile teams.\r\nStay calm and focused when troubleshooting production issues.\r\nNice to Have\r\nExperience with Scala or Python in Spark.\r\nHands-on experience with Databricks or Google Dataproc.\r\nKnowledge of Delta Lake or Apache Iceberg.\r\nBackground in data modeling and performance design.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T15:37:27.532Z","dateModified":"2026-04-09T15:37:27.532Z","hiringOrganization":{"@type":"Organization","name":"3m Consultancy","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Olympia","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bac7021be5b02d51cdbd20c6"},"url":"https://jobsearcher.com/jobs/bac7021be5b02d51cdbd20c6"}}