Data Engineer (DEA)
Job Location:
Arlington, TX - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
hatch I.T. is partnering with Expression to find aData Engineer. See details below:
About The Role:
Expression 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 DEAs case management capabilities and creating a centralized secure scalable ecosystem supporting law enforcement investigative forensic and intelligence missions.
The 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.
Location and Clearance:
- Clearance: Top Secret (SCI) required.
- Location: Arlington VA. The program is primarily onsite at DEA Headquarters.
About the Company:
Founded 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. Expressions 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 2018s Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.
- 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.
- Bachelors degree on STEM fields and 2 years of professional experience.
- 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 technologies.
- Understanding of data warehousing principles including dimensional modeling and staging architectures.
- Exposure to cloud-based data platforms such as AWS Redshift Google BigQuery Azure SQL or similar environments.
- Ability to perform data profiling validation troubleshooting and root-cause analysis.
- Ability to clearly document technical processes data mappings and transformation logic.
- Ability to collaborate effectively with engineers analysts developers and business stakeholders.
- Experience with AWS Azure or Google Cloud Platform.
- Knowledge of big-data technologies such as Hadoop Spark or other distributed-processing frameworks.
- Experience with data visualization tools such as Power BI Tableau or Looker.
- Familiarity with Git or similar version-control systems.
- Experience designing automated data workflows or integrating workflow-orchestration tools.
- Experience supporting large-scale data migration or application-modernization initiatives.
- Experience working in Agile development environments.
- Experience supporting Federal Government programs or systems.
Benefits:
Expression offers competitive salaries and benefits such as:
401k matching
PPO and HDHP medical/dental/vision insurance
Education reimbursement
Complimentary life insurance
Generous PTO and holiday leave
Onsite office gym access
Commuter Benefits Plan
Required Experience:
IC
About Company
hatch I.T. is a specialized technology recruiting firm supporting emerging tech startups that need to grow their engineering, data, and product teams.
