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1 день назад

Data Engineer

100 163 - 186 295$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (ETL/Python/Java): Building and maintaining ETL pipelines for large-scale structured and unstructured data operations from ingestion through query with an accent on data preparation, labeling, cybersecurity logs, and quality assurance. Focus on troubleshooting data flows at scale, integrating complex data sources, and supporting secure government data acquisition and analytics.

Location: Hybrid role based in Sterling, Virginia, United States, with an average of 1–2 days per week in the Sterling office.

Salary: $100,163–$186,295 USD per year

Company

hirify.global provides technical and mission expertise for national security, technology, and defense challenges.

What you will do

  • Build and maintain ETL pipelines supporting data ingestion, transformation, loading, querying, and end-to-end data usage.
  • Work with complex structured and unstructured data sets, including cybersecurity and network security logs.
  • Develop data extraction, custom translation, data preparation, and labeling workflows for analytics.
  • Investigate and troubleshoot system, data-flow, and quality issues at scale.
  • Participate in an agile software development lifecycle and collaborate with the development team.

Requirements

  • Current active Top Secret clearance and SCI eligibility.
  • DoD 8140/8570 compliance certification, such as Security+, or willingness to obtain it within 90 days of hire.
  • At least 5 years of relevant experience and a bachelor’s degree in engineering, computer science, or a related technical field, or equivalent industry experience.
  • Experience with ETL pipelines, Python, Java, Linux, JSON, XML, configuration management tools, and agile development.
  • Strong troubleshooting, testing, quality assurance, technical problem-solving, and data-flow investigation skills.
  • Ability to work in a hybrid environment with regular attendance at the Sterling, Virginia office.

Nice to have

  • Seven years of relevant experience.
  • Experience with Kubernetes, cloud systems, AI/ML development, SQL, Trino, Kafka, NiFi, or SQS.
  • Experience supporting cyber or network security operations and large-scale enterprise data platforms.
  • Familiarity with Unified Platform, DoD Big Data Platform, JCWA systems, JIRA, Confluence, and GitHub Enterprise.

Culture & Benefits

  • Collaborative, agile, and fast-paced small-business environment.
  • Comprehensive medical, dental, and vision coverage.
  • Health Savings Account with company contribution.
  • Paid time off, paid holidays, and paid parental leave.
  • 401(k) with company match, training opportunities, award programs, and company-sponsored events.

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