Junior Data Engineer (DEA)

hatch I.T.; Arlington (VA); On-site; USD 60,000 - 90,000; Full time

Benefits offered by this job

401k matching

Medical/dental/vision insurance

Job summary

hatch I.T. is partnering with Expression to recruit a Junior Data Engineer to support the DEA ICDE modernization project in Arlington, VA. The role focuses on designing and maintaining ETL pipelines, data migration, and ensuring data quality under guidance from senior engineers.

Ideal candidates have foundational data engineering knowledge, exposure to SQL and Python, and a willingness to learn in a fast-paced federal modernization program onsite at DEA Headquarters.

Qualifications

• Bachelor's degree in STEM fields or equivalent.
• Foundational exposure to data analysis, ETL concepts, or data migration through coursework, internships, or early 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/workflow tools such as Apache Airflow or Talend.
• Understanding of data warehousing concepts (staging, fact/dimension models).
• Exposure to cloud platforms (AWS S3/Redshift, Google BigQuery, Azure Storage).
• Foundational data profiling, validation, and data quality knowledge.
• Strong communication and documentation skills.
• Willingness to learn in a fast-paced environment.

Responsibilities

• Assist in designing, developing, and maintaining ETL pipelines.
• Support migration of legacy data into the modernized DEA ecosystem.
• Analyze data structures and data-quality checks to identify issues.
• Execute validation queries and data profiling to ensure accuracy.
• Contribute to data migration activities and mapping source to target datasets.
• Support data cleaning, standardization, and tagging efforts.
• Collaborate with analysts, data scientists, engineers, and stakeholders to implement data transformations.
• Monitor pipeline performance and assist with troubleshooting.
• Document data flows, mappings, and operational processes.
• Participate in Agile ceremonies and development sprints.

Skills

SQL

Python

Data analysis

ETL concepts

Data migration

Communication

Documentation

Education

Bachelor's degree in STEM fields

Tools

Apache Airflow

Talend

AWS S3/Redshift

Azure Storage

Google BigQuery

Power BI

Tableau

Looker

Git

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.
• Coursework, internship, project, or professional exposure to data migration or system-modernization activities.

Expression offers competitive salaries and benefits, such as:

• 401k matching
• PPO and HDHP medical/dental/vision insurance