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$160к-180к/год
$160к$200кмедиана$230к
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У роли понятный фокус на инженерии данных и метаданных, но активный допуск Top Secret и гибридный формат в конкретном городе заметно сужают круг тех, кто может на неё претендовать.
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Понятные задачи
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Кибербезопасность
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer / Metadata Engineer (Cloud Data Platforms): Designing scalable data pipelines, metadata repositories, and governance solutions for enterprise analytics and cybersecurity data ecosystems with an accent on data quality, lineage, cataloging, and cloud integration. Focus on building ETL/ELT workflows, optimizing warehouses and lakehouses, automating metadata management, and supporting reliable AI/ML and business intelligence data platforms.
Location: Hybrid schedule in the Arlington, Virginia office, United States
Salary: $160,000–$180,000 per year
Company
Support the Cybersecurity and Infrastructure Security Agency's Technical Engineering and Support Services program through hirify.global's AI, data, and analytics team.
What you will do
Design, build, maintain, and optimize scalable data pipelines and ETL/ELT processes across structured and unstructured sources.
Develop data models, warehouses, lakes, lakehouses, and integrations supporting enterprise analytics, reporting, AI/ML, and business intelligence.
Design metadata repositories and catalogs, including metadata collection, classification, enrichment, lineage, impact analysis, and consistency controls.
Implement data governance, quality monitoring, validation, master data management, and reference data solutions.
Develop cloud-native data solutions and contribute to infrastructure-as-code, platform automation, monitoring, and reliable processing workflows.
Collaborate with architects, analysts, data scientists, governance teams, and stakeholders; document designs, data flows, metadata models, and procedures.
Requirements
Active Top Secret (TS) clearance required.
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent experience.
5+ years of experience in data engineering, metadata management, or related data platform roles.
Experience building and maintaining ETL/ELT pipelines.
Strong SQL development and database management skills.
Experience with data warehousing and large-scale data processing.
Understanding of metadata management, data lineage, and data catalog concepts.
Strong problem-solving, analytical, and communication skills.
Culture & Benefits
Full-time employment in a hybrid Arlington, Virginia office schedule.
Benefits are available through hirify.global's general benefits program.
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