Data Engineer (DEA)

Expression

$100K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in 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 and performance tuning.
  • Familiarity with Python for data manipulation and automation.
  • Experience with ETL frameworks or orchestration tools like Apache Airflow or Talend.
  • Understanding of data warehousing principles and architectures.
  • Exposure to cloud-based data platforms such as AWS or Google BigQuery.

Responsibilities

  • Design, develop, and maintain scalable ETL pipelines for diverse datasets.
  • Support migration of legacy data into modernized DEA systems.
  • Analyze data structures for workflow optimization and automation opportunities.
  • Implement processes for data cleaning and integrity to ensure quality.
  • Monitor data accuracy and consistency across systems.
  • Execute data migration strategies for application modernization.
  • Collaborate with cross-functional teams to create effective data solutions.

Benefits

  • 401k matching
  • PPO and HDHP medical/dental/vision insurance
  • Education reimbursement up to $10,000/year
  • Complimentary life insurance
  • Generous PTO and 11 days of holiday leave
  • Onsite gym facility
  • Commuter Benefits Plan
  • In-office Cold Brew Coffee
Full Job Description
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 DEA's 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.

Clearance: Top Secret (SCI) required.

Location: Arlington, VA. The program is primarily onsite at DEA Headquarters.

Key Responsibilities
  • 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.

Required Qualifications
  • Bachelor's 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.

Preferred Qualifications
  • 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 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

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