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.
Skills Required
- Bachelor’s degree in a STEM field
- 0–1 years of professional experience
- Foundational exposure to data analysis, ETL concepts, or data migration
- Working knowledge of SQL, including queries, joins, and aggregations
- Familiarity with Python for data manipulation or automation
- Introductory experience with ETL or workflow tools such as Apache Airflow or Talend
- Understanding of data warehousing concepts, staging, fact and dimension models, and schemas
- Exposure to cloud data storage or compute platforms such as AWS, Google Cloud, or Azure
- Foundational understanding of data profiling, validation, and data quality
- Strong communication and documentation skills
- Ability and willingness to learn in a fast-paced technical environment
- Hands-on or coursework experience with AWS, Azure, or Google Cloud Platform
- Exposure to Hadoop, Spark, or distributed-processing technologies
- Familiarity with Power BI, Tableau, Looker, or similar visualization tools
- Familiarity with Git or similar version-control systems
- Experience 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
What We Do
Get behind the scenes insights from startup tech teams: https://www.myhatchpad.com/newsletter/ hatch I.T. is a specialized technology consulting firm connecting software, product, and data engineers with tech startups in emerging tech markets. We offer customized models that transform the way early-stage and high-growth startups scale. Our flagship programs include: - Scale – technical consulting and recruiting services for high-growth startups - Stride – technical strategy and consulting for early-stage startups - hatchpad – an online community platform connecting startup technologists to network, learn, and advance in their careers In true startup fashion, our roots can be traced to a garage in Leesburg, VA in 2013. While working with local startups, our Founder & CEO, Tim Winkler, realized that traditional staffing models didn’t align with the growth needs of startups. Working with those firms felt transactional and the costs were way outside a startup's budget. There was a need for a solution that was relational, community driven, and flexibly priced. With this in mind, hatch I.T. was formed, along with customized models that transform the way early-stage and high-growth startups scale. Fast forward 8 years and 15 employees later, hatch has developed a platform that provides a roadmap to guide startups from MVP through all stages of growth. After proving this model with dozens of startups across DC, Maryland, & Virginia, we realized it was needed in all emerging startup markets. If you’re a startup looking to grow your startup team, or an engineer looking for a career at an innovative tech company, connect with hatch I.T. today.
