5 дней назад
Junior Data Engineer (DEA)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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