{"schemaVersion":"jobsearcher.job.v1","id":"2df4e3e086c3b13dbcaecdf9","url":"https://jobsearcher.com/jobs/2df4e3e086c3b13dbcaecdf9","canonicalUrl":"https://jobsearcher.com/jobs/2df4e3e086c3b13dbcaecdf9","title":"Data Engineer (DEA)","description":"hatch I.T. is partnering with Expression to find a Data Engineer. See details below:\n\nAbout The Role:\n\nExpression is seeking a Data Engineer to support the Drug Enforcement Administration (DEA) Investigative Case and Data Ecosystem (ICDE) modernization effort. This program is focused on modernizing DEA's case management capabilities and creating a centralized, secure, scalable ecosystem supporting law enforcement, investigative, forensic, and intelligence missions.\n\nThe Data Engineer will design, develop, and maintain scalable data pipelines supporting the ingestion, transformation, migration, validation, and integration of structured and unstructured data. This position will contribute to the modernization and migration of DEA legacy data while helping ensure data is accurate, consistent, secure, and prepared to support analytics and emerging AI/ML capabilities.\n\nLocation and Clearance:\n\nClearance: Top Secret (SCI) required.\nLocation: Arlington, VA. The program is primarily onsite at DEA Headquarters.\n\nAbout the Company:\n\nFounded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression’s “Perpetual Innovation” culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.\n\nResponsibilities:\nDesign, develop, and maintain scalable ETL pipelines for ingesting, transforming, and loading structured and unstructured datasets.\nSupport large-scale migration of legacy data into the modernized DEA investigative and case management ecosystem.\nAnalyze complex data structures and source-to-target mappings to identify opportunities for workflow optimization and automation.\nImplement data cleaning, standardization, validation, classification, and transformation processes to improve data quality and consistency.\nMonitor and ensure data accuracy, completeness, consistency, and integrity across systems and platforms.\nImplement data migration strategies supporting application modernization and transitions across platforms and cloud environments.\nDevelop and execute data validation processes and checkpoints throughout data migration activities.\nCollaborate with analysts, data scientists, developers, and business partners to translate requirements into effective data engineering solutions.\nSupport data interoperability and exchange across integrated systems.\nMonitor pipeline performance, troubleshoot operational issues, and improve reliability, scalability, and efficiency.\nSupport data preparation and tagging activities needed for analytics and AI/ML use cases.\nParticipate in Agile development activities, including sprint planning, stand-ups, reviews, and retrospectives.\nDocument data flows, source-to-target mappings, transformation logic, validation processes, and operational procedures.\nQualifications:\nBachelor's degree on STEM fields and 2+ years of professional experience.\nHands-on experience with data analysis, ETL development, and data migration.\nProficiency in SQL, including complex queries, data transformations, and performance tuning.\nFamiliarity with Python for data manipulation, scripting, and workflow automation.\nExperience with ETL frameworks or orchestration tools such as Apache Airflow, Talend, dbt, or similar technologies.\nUnderstanding of data warehousing principles, including dimensional modeling and staging architectures.\nExposure to cloud-based data platforms such as AWS Redshift, Google BigQuery, Azure SQL, or similar environments.\nAbility to perform data profiling, validation, troubleshooting, and root-cause analysis.\nAbility to clearly document technical processes, data mappings, and transformation logic.\nAbility to collaborate effectively with engineers, analysts, developers, and business stakeholders.\nPreferred Qualifications:\nExperience with AWS, Azure, or Google Cloud Platform.\nKnowledge of big-data technologies such as Hadoop, Spark, or other distributed-processing frameworks.\nExperience with data visualization tools such as Power BI, Tableau, or Looker.\nFamiliarity with Git or similar version-control systems.\nExperience designing automated data workflows or integrating workflow-orchestration tools.\nExperience supporting large-scale data migration or application-modernization initiatives.\nExperience working in Agile development environments.\nExperience supporting Federal Government programs or systems.\n\nBenefits:\n\nExpression offers competitive salaries and benefits, such as:\n\n401k matching\n\nPPO and HDHP medical/dental/vision insurance\n\nEducation reimbursement\n\nComplimentary life insurance\n\nGenerous PTO and holiday leave\n\nOnsite office gym access\n\nCommuter Benefits Plan\n\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","company":"Hatch It","rawCompany":"hatch it","city":"Arlington","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-08-28T08:08:19.255Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-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":"Data Engineer (DEA)","description":"hatch I.T. is partnering with Expression to find a Data Engineer. See details below:\n\nAbout The Role:\n\nExpression is seeking a Data Engineer to support the Drug Enforcement Administration (DEA) Investigative Case and Data Ecosystem (ICDE) modernization effort. This program is focused on modernizing DEA's case management capabilities and creating a centralized, secure, scalable ecosystem supporting law enforcement, investigative, forensic, and intelligence missions.\n\nThe Data Engineer will design, develop, and maintain scalable data pipelines supporting the ingestion, transformation, migration, validation, and integration of structured and unstructured data. This position will contribute to the modernization and migration of DEA legacy data while helping ensure data is accurate, consistent, secure, and prepared to support analytics and emerging AI/ML capabilities.\n\nLocation and Clearance:\n\nClearance: Top Secret (SCI) required.\nLocation: Arlington, VA. The program is primarily onsite at DEA Headquarters.\n\nAbout the Company:\n\nFounded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression’s “Perpetual Innovation” culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.\n\nResponsibilities:\nDesign, develop, and maintain scalable ETL pipelines for ingesting, transforming, and loading structured and unstructured datasets.\nSupport large-scale migration of legacy data into the modernized DEA investigative and case management ecosystem.\nAnalyze complex data structures and source-to-target mappings to identify opportunities for workflow optimization and automation.\nImplement data cleaning, standardization, validation, classification, and transformation processes to improve data quality and consistency.\nMonitor and ensure data accuracy, completeness, consistency, and integrity across systems and platforms.\nImplement data migration strategies supporting application modernization and transitions across platforms and cloud environments.\nDevelop and execute data validation processes and checkpoints throughout data migration activities.\nCollaborate with analysts, data scientists, developers, and business partners to translate requirements into effective data engineering solutions.\nSupport data interoperability and exchange across integrated systems.\nMonitor pipeline performance, troubleshoot operational issues, and improve reliability, scalability, and efficiency.\nSupport data preparation and tagging activities needed for analytics and AI/ML use cases.\nParticipate in Agile development activities, including sprint planning, stand-ups, reviews, and retrospectives.\nDocument data flows, source-to-target mappings, transformation logic, validation processes, and operational procedures.\nQualifications:\nBachelor's degree on STEM fields and 2+ years of professional experience.\nHands-on experience with data analysis, ETL development, and data migration.\nProficiency in SQL, including complex queries, data transformations, and performance tuning.\nFamiliarity with Python for data manipulation, scripting, and workflow automation.\nExperience with ETL frameworks or orchestration tools such as Apache Airflow, Talend, dbt, or similar technologies.\nUnderstanding of data warehousing principles, including dimensional modeling and staging architectures.\nExposure to cloud-based data platforms such as AWS Redshift, Google BigQuery, Azure SQL, or similar environments.\nAbility to perform data profiling, validation, troubleshooting, and root-cause analysis.\nAbility to clearly document technical processes, data mappings, and transformation logic.\nAbility to collaborate effectively with engineers, analysts, developers, and business stakeholders.\nPreferred Qualifications:\nExperience with AWS, Azure, or Google Cloud Platform.\nKnowledge of big-data technologies such as Hadoop, Spark, or other distributed-processing frameworks.\nExperience with data visualization tools such as Power BI, Tableau, or Looker.\nFamiliarity with Git or similar version-control systems.\nExperience designing automated data workflows or integrating workflow-orchestration tools.\nExperience supporting large-scale data migration or application-modernization initiatives.\nExperience working in Agile development environments.\nExperience supporting Federal Government programs or systems.\n\nBenefits:\n\nExpression offers competitive salaries and benefits, such as:\n\n401k matching\n\nPPO and HDHP medical/dental/vision insurance\n\nEducation reimbursement\n\nComplimentary life insurance\n\nGenerous PTO and holiday leave\n\nOnsite office gym access\n\nCommuter Benefits Plan\n\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","datePosted":"2026-08-28T08:08:19.255Z","dateModified":"2026-08-28T08:08:19.255Z","hiringOrganization":{"@type":"Organization","name":"Hatch It","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arlington","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2df4e3e086c3b13dbcaecdf9"},"url":"https://jobsearcher.com/jobs/2df4e3e086c3b13dbcaecdf9"}}