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2 дня назад

Big Data Analyst

150 000 - 250 000$
Формат работы
onsite
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
Big Data Analyst (Python/SQL/Spark): Developing dataset evaluations and data engineering approaches for big-data applications supporting national security missions, with an accent on technical telemetry, telecommunications data, and iterative collaboration with software engineers. Focus on identifying data and analytical capability gaps, validating application implementations, and translating findings into repeatable processes for government decision-making.

Location: On-site in Herndon, Virginia, with work at the customer site in Springfield, Virginia as needed

Salary: $150,000–$250,000 USD per year

Company

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

What you will do

  • Develop dataset evaluations and assessments to support government decision-making.
  • Shape data engineering approaches that improve analytic tradecraft in applications backed by a self-managed cloud infrastructure and more than 20 petabytes of data.
  • Identify and document gaps in data collections and analytical capabilities.
  • Collaborate with software developers to refine requirements, provide feedback, and validate application changes.
  • Support end users with subject-matter expertise for data and application questions.

Requirements

  • Current and active TS/SCI clearance and willingness and ability to obtain a CI polygraph.
  • Bachelor’s degree in a relevant field, or equivalent experience in lieu of a degree.
  • At least five years of experience as a data analyst, data scientist, or in a similar role.
  • Experience creating repeatable data evaluation processes and communicating findings to government officials.
  • In-depth knowledge of technical telemetry and telecommunications protocol data, including cellular and Wi-Fi data.
  • Experience with a scripting or data-processing language such as Python, SQL, Spark, or PySpark, plus strong communication and independent task-management skills.

Nice to have

  • Geospatial analysis experience, including Activity-Based Intelligence or Pattern of Life analysis.
  • Experience with Elasticsearch, Kibana, GitLab, Jupyter Notebooks, or Apache Zeppelin.
  • Experience developing and documenting analytic methodologies.
  • Customer-facing experience or work with intelligence analysts and special operations customers.

Culture & Benefits

  • Mission-focused work supporting national security and special operations customers.
  • Collaborative work with software developers, ETL engineers, big data specialists, infrastructure teams, and cybersecurity teams.
  • Medical, dental, and vision coverage, plus a company-supported Health Savings Account.
  • Paid time off, paid holidays, and paid parental leave.
  • 401(k) with company match, training and development opportunities, award programs, and company-sponsored events.

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