{"schemaVersion":"jobsearcher.job.v1","id":"001d19803622ac94a1c00dcb","url":"https://jobsearcher.com/jobs/001d19803622ac94a1c00dcb","canonicalUrl":"https://jobsearcher.com/jobs/001d19803622ac94a1c00dcb","title":"Junior Data Engineer (DEA)","description":"Expression is seeking a Junior Data Engineer to support the Drug Enforcement Administration (DEA) Investigative Case and Data Ecosystem (ICDE) modernization effort. The program is focused on replacing fragmented legacy investigative and case management capabilities with a centralized, secure, scalable, and integrated ecosystem.\n\nWorking alongside experienced data engineers and other technical team members, the Data Engineer 2 will support data ingestion, transformation, validation, migration, and integration activities. This is an early-career opportunity for an individual with foundational data engineering knowledge who is interested in developing hands-on experience supporting a large-scale Federal technology modernization program.\n\nClearance: Secret level required and willingness to pursuit TS/SCI.\n\nLocation: Arlington, VA. The program is primarily onsite at DEA Headquarters. Key Responsibilities\n\nAssist in designing, developing, and maintaining ETL pipelines for ingesting, transforming, and loading datasets under the guidance of more experienced engineers.\nSupport migration of legacy data into the modernized DEA investigative and case management ecosystem.\nAssist with analyzing data structures, source-to-target mappings, and data-quality checks to identify issues or gaps.\nHelp ensure data accuracy, consistency, and integrity by executing validation queries, profiling datasets, and supporting data-cleaning efforts.\nContribute to data migration activities, including mapping source data to target systems and executing migration scripts.\nSupport data cleaning, standardization, classification, and tagging activities.\nCollaborate with analysts, data scientists, engineers, and business stakeholders to translate requirements into data transformations and pipeline updates.\nMonitor pipeline performance and assist with troubleshooting operational issues, escalating complex issues as appropriate.\nParticipate in validation activities and help document migration results and identified data-quality issues.\nParticipate in Agile ceremonies and support data engineering activities throughout development sprints.\nHelp document data flows, transformation logic, mappings, and operational processes to support maintainability and knowledge sharing.\n\nRequired Qualifications\n\nBachelor's degree in STEM fields and 0–1 years of professional experience.\nFoundational exposure to data analysis, ETL concepts, or data migration through coursework, internships, personal projects, or early professional experience.\nWorking knowledge of SQL, including basic queries, joins, and aggregations.\nFamiliarity with Python for data manipulation or automation tasks; introductory-level experience is acceptable.\nIntroductory experience with ETL or workflow tools such as Apache Airflow, Talend, or similar technologies.\nUnderstanding of basic data warehousing concepts, including staging, fact/dimension models, or schema structures.\nExposure to cloud-based data storage or compute platforms such as AWS S3/Redshift, Google BigQuery, Azure Storage, or similar environments.\nFoundational understanding of data profiling, validation, and data quality.\nStrong communication and documentation skills.\nAbility and willingness to learn in a fast-paced, evolving technical environment.\n\nPreferred Qualifications\n\nHands-on or coursework experience with AWS, Azure, or Google Cloud Platform.\nExposure to Hadoop, Spark, or other distributed-processing technologies.\nFamiliarity with Power BI, Tableau, Looker, or similar visualization tools.\nFamiliarity with Git or similar version-control systems.\nExperience building or supporting automated data workflows using orchestration tools or scheduled scripting.\nExposure to Agile development methodologies.\nCoursework, internship, project, or professional exposure to data migration or system-modernization activities.\n\nBenefits:\n\nExpression offers competitive salaries and benefits, such as:\n\n401k matching\nPPO and HDHP medical/dental/vision insurance\nEducation reimbursement up to $10,000/yr\nComplimentary life insurance\nGenerous PTO and 11 days of holiday leave\nOnsite gym facility\nCommuter Benefits Plan\nIn-office Cold Brew Coffee\n\nAbout Expression:\n\nFounded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, AI/ML, 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 culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our 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\nWe make sure to provide everyone with the tools and opportunities to grow while working on some of the newest technologies in the industry. We get excited about celebrating our professionals' milestones, accomplishments, promotions, overcoming challenges, and many other aspects that make an engaging collaborative environment.\n\nEqual Opportunity Employer/Veterans/Disabled\nExpression is an Equal Opportunity Employer. If you require a reasonable accommodation during the application or interview process, please submit your request to our Human Resources department through the application portal.","company":"Expression","rawCompany":"expression","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-08-27T09:55:47.131Z","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":"Junior Data Engineer (DEA)","description":"Expression is seeking a Junior Data Engineer to support the Drug Enforcement Administration (DEA) Investigative Case and Data Ecosystem (ICDE) modernization effort. The program is focused on replacing fragmented legacy investigative and case management capabilities with a centralized, secure, scalable, and integrated ecosystem.\n\nWorking alongside experienced data engineers and other technical team members, the Data Engineer 2 will support data ingestion, transformation, validation, migration, and integration activities. This is an early-career opportunity for an individual with foundational data engineering knowledge who is interested in developing hands-on experience supporting a large-scale Federal technology modernization program.\n\nClearance: Secret level required and willingness to pursuit TS/SCI.\n\nLocation: Arlington, VA. The program is primarily onsite at DEA Headquarters. Key Responsibilities\n\nAssist in designing, developing, and maintaining ETL pipelines for ingesting, transforming, and loading datasets under the guidance of more experienced engineers.\nSupport migration of legacy data into the modernized DEA investigative and case management ecosystem.\nAssist with analyzing data structures, source-to-target mappings, and data-quality checks to identify issues or gaps.\nHelp ensure data accuracy, consistency, and integrity by executing validation queries, profiling datasets, and supporting data-cleaning efforts.\nContribute to data migration activities, including mapping source data to target systems and executing migration scripts.\nSupport data cleaning, standardization, classification, and tagging activities.\nCollaborate with analysts, data scientists, engineers, and business stakeholders to translate requirements into data transformations and pipeline updates.\nMonitor pipeline performance and assist with troubleshooting operational issues, escalating complex issues as appropriate.\nParticipate in validation activities and help document migration results and identified data-quality issues.\nParticipate in Agile ceremonies and support data engineering activities throughout development sprints.\nHelp document data flows, transformation logic, mappings, and operational processes to support maintainability and knowledge sharing.\n\nRequired Qualifications\n\nBachelor's degree in STEM fields and 0–1 years of professional experience.\nFoundational exposure to data analysis, ETL concepts, or data migration through coursework, internships, personal projects, or early professional experience.\nWorking knowledge of SQL, including basic queries, joins, and aggregations.\nFamiliarity with Python for data manipulation or automation tasks; introductory-level experience is acceptable.\nIntroductory experience with ETL or workflow tools such as Apache Airflow, Talend, or similar technologies.\nUnderstanding of basic data warehousing concepts, including staging, fact/dimension models, or schema structures.\nExposure to cloud-based data storage or compute platforms such as AWS S3/Redshift, Google BigQuery, Azure Storage, or similar environments.\nFoundational understanding of data profiling, validation, and data quality.\nStrong communication and documentation skills.\nAbility and willingness to learn in a fast-paced, evolving technical environment.\n\nPreferred Qualifications\n\nHands-on or coursework experience with AWS, Azure, or Google Cloud Platform.\nExposure to Hadoop, Spark, or other distributed-processing technologies.\nFamiliarity with Power BI, Tableau, Looker, or similar visualization tools.\nFamiliarity with Git or similar version-control systems.\nExperience building or supporting automated data workflows using orchestration tools or scheduled scripting.\nExposure to Agile development methodologies.\nCoursework, internship, project, or professional exposure to data migration or system-modernization activities.\n\nBenefits:\n\nExpression offers competitive salaries and benefits, such as:\n\n401k matching\nPPO and HDHP medical/dental/vision insurance\nEducation reimbursement up to $10,000/yr\nComplimentary life insurance\nGenerous PTO and 11 days of holiday leave\nOnsite gym facility\nCommuter Benefits Plan\nIn-office Cold Brew Coffee\n\nAbout Expression:\n\nFounded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, AI/ML, 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 culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our 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\nWe make sure to provide everyone with the tools and opportunities to grow while working on some of the newest technologies in the industry. We get excited about celebrating our professionals' milestones, accomplishments, promotions, overcoming challenges, and many other aspects that make an engaging collaborative environment.\n\nEqual Opportunity Employer/Veterans/Disabled\nExpression is an Equal Opportunity Employer. If you require a reasonable accommodation during the application or interview process, please submit your request to our Human Resources department through the application portal.","datePosted":"2026-08-27T09:55:47.131Z","dateModified":"2026-08-27T09:55:47.131Z","hiringOrganization":{"@type":"Organization","name":"Expression","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"001d19803622ac94a1c00dcb"},"url":"https://jobsearcher.com/jobs/001d19803622ac94a1c00dcb"}}