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Full-time
bachelor degree
401k matching, PPO medical insurance, HDHP medical insurance, Dental insurance, Vision insurance, Education reimbursement
Posted 19d ago
~40 hrs/week
Responsibilities
The Data Engineer will assist in designing, developing, and maintaining ETL pipelines while supporting the migration of legacy data into a modernized ecosystem. They will collaborate with cross-functional teams to ensure data accuracy, consistency, and integrity through validation and profiling activities.
Requirements
Candidates must hold a bachelor's degree in a STEM field and possess 0-1 years of professional experience with foundational knowledge in SQL and Python. Applicants are required to have a Secret level security clearance and a willingness to pursue TS/SCI.
Full job 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.
Working 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.
Clearance: Secret level required and willingness to pursuit TS/SCI.
Location: Arlington, VA. The program is primarily onsite at DEA Headquarters. Key Responsibilities
Assist in designing, developing, and maintaining ETL pipelines for ingesting, transforming, and loading datasets under the guidance of more experienced engineers.
Support migration of legacy data into the modernized DEA investigative and case management ecosystem.
Assist with analyzing data structures, source-to-target mappings, and data-quality checks to identify issues or gaps.
Help ensure data accuracy, consistency, and integrity by executing validation queries, profiling datasets, and supporting data-cleaning efforts.
Contribute to data migration activities, including mapping source data to target systems and executing migration scripts.
Support data cleaning, standardization, classification, and tagging activities.
Collaborate with analysts, data scientists, engineers, and business stakeholders to translate requirements into data transformations and pipeline updates.
Monitor pipeline performance and assist with troubleshooting operational issues, escalating complex issues as appropriate.
Participate in validation activities and help document migration results and identified data-quality issues.
Participate in Agile ceremonies and support data engineering activities throughout development sprints.
Help document data flows, transformation logic, mappings, and operational processes to support maintainability and knowledge sharing.
Required Qualifications
Bachelor's degree in STEM fields and 0–1 years of professional experience.
Foundational exposure to data analysis, ETL concepts, or data migration through coursework, internships, personal projects, or early professional experience.
Working knowledge of SQL, including basic queries, joins, and aggregations.
Familiarity with Python for data manipulation or automation tasks; introductory-level experience is acceptable.
Introductory experience with ETL or workflow tools such as Apache Airflow, Talend, or similar technologies.
Understanding of basic data warehousing concepts, including staging, fact/dimension models, or schema structures.
Exposure to cloud-based data storage or compute platforms such as AWS S3/Redshift, Google BigQuery, Azure Storage, or similar environments.
Foundational understanding of data profiling, validation, and data quality.
Strong communication and documentation skills.
Ability and willingness to learn in a fast-paced, evolving technical environment.
Preferred Qualifications
Hands-on or coursework experience with AWS, Azure, or Google Cloud Platform.
Exposure to Hadoop, Spark, or other distributed-processing technologies.
Familiarity with Power BI, Tableau, Looker, or similar visualization tools.
Familiarity with Git or similar version-control systems.
Experience building or supporting automated data workflows using orchestration tools or scheduled scripting.
Exposure to Agile development methodologies.
Coursework, internship, project, or professional exposure to data migration or system-modernization activities.
Benefits:
Expression offers competitive salaries and benefits, such as:
401k matching
PPO and HDHP medical/dental/vision insurance
Education reimbursement up to $10,000/yr
Complimentary life insurance
Generous PTO and 11 days of holiday leave
Onsite gym facility
Commuter Benefits Plan
In-office Cold Brew Coffee
About Expression:
Founded 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.
We 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.
Equal Opportunity Employer/Veterans/Disabled Expression 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.
Related keywords
Data EngineeringDEAICDEETLSQLPythonData MigrationData WarehousingAWSAzureGoogle Cloud PlatformApache AirflowTalendData ProfilingData QualityAgile
Expression is a leading provider of tailored and integrated information technology, software engineering, data analytics, and electromagnetic spectrum management solutions for federal and commercial clients.
We help each client meet the challenges of ever more demanding missions, ensuring our clients are well-equipped to succeed in an increasingly volatile and complex future.
Offices: 1140 3rd St NE, Washington, District of Columbia, US
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