Data Engineer (DEA)
Expression Networks
- Location
- Arlington, VA
- Work style
- On-site
- Job type
- Full time
- Posted
- Oct 5
- 15 days ago
Career path
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About the company
Expression Networks
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.
What you'll do
- Design, develop, and maintain scalable ETL pipelines for ingesting, transforming, and loading structured and unstructured datasets.
- Support large-scale migration of legacy data into the modernized DEA investigative and case management ecosystem.
- Analyze complex data structures and source-to-target mappings to identify opportunities for workflow optimization and automation.
- Implement data cleaning, standardization, validation, classification, and transformation processes to improve data quality and consistency.
- Monitor and ensure data accuracy, completeness, consistency, and integrity across systems and platforms.
- Implement data migration strategies supporting application modernization and transitions across platforms and cloud environments.
- Develop and execute data validation processes and checkpoints throughout data migration activities.
- Collaborate with analysts, data scientists, developers, and business partners to translate requirements into effective data engineering solutions.
- Support data interoperability and exchange across integrated systems.
- Monitor pipeline performance, troubleshoot operational issues, and improve reliability, scalability, and efficiency.
- Support data preparation and tagging activities needed for analytics and AI/ML use cases.
- Participate in Agile development activities, including sprint planning, stand-ups, reviews, and retrospectives.
- Document data flows, source-to-target mappings, transformation logic, validation processes, and operational procedures.
What you need
- Bachelor's degree on STEM fields and 2+ years of professional experience
- Top Secret (SCI) required
- Hands-on experience with data analysis, ETL development, and data migration
- Proficiency in SQL, including complex queries, data transformations, and performance tuning
- Familiarity with Python for data manipulation, scripting, and workflow automation
- Experience with ETL frameworks or orchestration tools such as Apache Airflow, Talend, dbt, or similar
- Understanding of data warehousing principles, including dimensional modeling and staging architectures
- Experience with AWS, Azure, or Google Cloud Platform (preferred)
Key skills
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Perks
- 401k matching
- PPO and HDHP
- Education reimbursement
- Complimentary life insurance
- Generous PTO
- 11 days of holiday leave
- Onsite gym facility
- Commuter Benefits Plan
See full description on company page, apply now