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5 дней назад

Junior Data Engineer (DEA)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Junior Data Engineer (DEA) (Data Engineering/ETL): Supporting data ingestion, transformation, validation, migration, and integration for a centralized DEA investigative and case management ecosystem with an accent on data quality, source-to-target mapping, and secure modernization. Focus on building ETL pipelines, migrating legacy investigative data, validating datasets, and troubleshooting workflow issues in an Agile federal technology program.

Location: Arlington, VA; primarily onsite at DEA Headquarters

Company

hirify.global is partnering with Expression, a government technology contractor providing data fusion, analytics, software engineering, IT, and electromagnetic spectrum management solutions to the U.S. national security community.

What you will do

  • Support the design, development, and maintenance of ETL pipelines for ingesting, transforming, and loading datasets.
  • Assist with migrating legacy data into the modernized DEA investigative and case management ecosystem.
  • Analyze data structures, source-to-target mappings, and data-quality checks to identify issues and gaps.
  • Execute validation queries, profile datasets, and support data cleaning, standardization, classification, and tagging.
  • Collaborate with analysts, data scientists, engineers, and business stakeholders to implement data transformations and pipeline updates.
  • Monitor pipeline performance, troubleshoot operational issues, document data flows, and participate in Agile development sprints.

Requirements

  • Bachelor’s degree in a STEM field and 0–1 years of professional experience.
  • Foundational knowledge of data analysis, ETL concepts, data migration, data warehousing, data profiling, validation, and data quality.
  • 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, Talend, or similar technologies.
  • Secret clearance required, with willingness to pursue TS/SCI clearance.

Nice to have

  • Experience with AWS, Azure, or Google Cloud Platform, including cloud data storage or compute platforms.
  • Exposure to Hadoop, Spark, or other distributed-processing technologies.
  • Familiarity with Power BI, Tableau, Looker, Git, automated data workflows, Agile methodologies, or system modernization.

Culture & Benefits

  • 401(k) matching.
  • PPO and HDHP medical, dental, and vision insurance.
  • Education reimbursement and complimentary life insurance.
  • Generous paid time off and holiday leave.
  • Onsite office gym access and commuter benefits.

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