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Dea Data Scientist Jobs (NOW HIRING)

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

T. is partnering with Expression to find a Junior Data Engineer (DEA) . See details below: About ... Collaborate with analysts, data scientists, engineers, and business stakeholders to translate ...

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

T. is partnering with Expression to find a Junior Data Engineer (DEA) . See details below: About ... Collaborate with analysts, data scientists, engineers, and business stakeholders to translate ...

Expression Networks

Junior Data Engineer (DEA)

Washington, DC · On-site

$129K - $155K/yr

The program is primarily onsite at DEA Headquarters. Key Responsibilities * Assist in designing ... Collaborate with analysts, data scientists, engineers, and business stakeholders to translate ...

Expression Networks

Junior Data Engineer (DEA)

Washington, DC · On-site

$129K - $155K/yr

The program is primarily onsite at DEA Headquarters. Key Responsibilities * Assist in designing ... Collaborate with analysts, data scientists, engineers, and business stakeholders to translate ...

Expression

Junior Data Engineer (DEA)

Washington, DC

$129K - $155K/yr

The program is primarily onsite at DEA Headquarters. Key Responsibilities * Assist in designing ... Collaborate with analysts, data scientists, engineers, and business stakeholders to translate ...

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

hatch I.T. is partnering with Expression to find a Junior Data Engineer (DEA). See details below ... Collaborate with analysts, data scientists, engineers, and business stakeholders to translate ...

AITHERAS, LLC

Performance/Data Analyst III

Washington, DC · On-site

$100K - $120K/yr

... science and analytics professional supporting DOJ JMD/OCIO and HSTF. This role leads advanced ... Integrate, clean, and merge data from DOJ MIS, FBI, DEA, HSI, ATF, IRS-CI, USAO, and other partner ...

Hatch IT

Test Engineer (DEA)

Arlington, VA · On-site

T. is partnering with Expression to find a Data Engineer . See details below: About The Role ... Bachelor's degree in Computer Science or related fields 2+ years of professional experience.

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Dea Data Scientist information

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$165K

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How much do dea data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for dea data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a DEA data scientist?

DEA Data Scientists are professionals who work for the Drug Enforcement Administration (DEA) and use data analysis, statistics, and machine learning techniques to support investigations and operations related to drug enforcement. They analyze large datasets to identify patterns, trends, and anomalies that can help uncover illegal drug activities and assist in decision-making. Their work involves collaborating with law enforcement agents, developing predictive models, and providing actionable intelligence to improve public safety. DEA Data Scientists often have backgrounds in computer science, statistics, or related fields, and are skilled in programming languages like Python or R. Their contributions are vital in modernizing law enforcement efforts and making data-driven decisions.

How does a DEA data scientist typically collaborate with law enforcement agents and analysts on complex investigations?

DEA Data Scientists work closely with agents and analysts to interpret large and often sensitive datasets, helping to uncover patterns related to drug trafficking and criminal networks. They regularly participate in cross-disciplinary meetings, translating technical findings into actionable intelligence for field operations or case development. Collaboration is key, as data scientists must ensure their models and analyses align with investigative needs and legal standards. Strong communication and adaptability are essential to bridge the gap between data-driven insights and law enforcement objectives.

What are the key skills and qualifications needed to thrive as a DEA data scientist, and why are they important?

To thrive as a DEA Data Scientist, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with analytical tools such as Python, R, SQL, and specialized law enforcement databases, as well as relevant security clearances, is often required. Critical thinking, attention to detail, and effective communication skills help in interpreting complex data and presenting actionable insights to stakeholders. These skills are crucial for supporting investigations, enhancing operational efficiency, and ensuring data-driven decision-making within the agency.

What are popular job titles related to Dea Data Scientist jobs?

For Dea Data Scientist jobs, the most frequently searched job titles are:

Junior Data Engineer (DEA)

Arlington, VA • On-site

Hatch IT
11 - 50 employees
Learn more about Hatch ITexternal

$131K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

hatch I.T. is partnering with Expression to find a Junior Data Engineer (DEA). See details below:

About The Role:

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.

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. Expression’s “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 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

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.
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

  • Complimentary life insurance

  • Generous PTO and holiday leave

  • Onsite office gym access

  • Commuter Benefits Plan

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.