2 дня назад
Big Data Analyst
150 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Big Data Analyst (Python/Spark): Evaluating large technical and telecommunications datasets and shaping data engineering approaches for intelligence applications backed by a 20-petabyte cloud infrastructure with an accent on repeatable assessments, data-quality analysis, and collaboration with software engineers. Focus on identifying gaps in data and analytical capabilities, validating application implementations, and supporting government decision-making and mission-focused users.
Location: On-site in Herndon, Virginia, with work at the customer site in Springfield, Virginia as needed
Salary: $150,000–$250,000 USD annually
Company
delivers mission and technical expertise for national security and defense challenges, supporting government and operational customers with software, data, and infrastructure capabilities.
What you will do
- Evaluate datasets and develop assessments that inform government decision-making.
- Shape data engineering approaches to improve analytical tradecraft within applications.
- Identify and document gaps in data corpora and analytical capabilities.
- Collaborate with software developers to define requirements, provide feedback, and validate application changes.
- Support end users with subject-matter expertise on data and application questions.
- Work with Big Data, ETL, infrastructure, and cybersecurity teams on applications backed by a self-managed cloud infrastructure exceeding 20 petabytes.
Requirements
- Current and active TS/SCI clearance required, with willingness and ability to obtain a CI polygraph.
- Bachelor’s degree in a relevant field, or equivalent professional experience.
- At least 5 years of experience as a data analyst, data scientist, or in a similar role.
- Experience developing repeatable data-evaluation processes and communicating findings to government officials.
- In-depth knowledge of technical telemetry, telecommunications protocol, cellular, Wi-Fi, or similar data types.
- Experience with a scripting or data language such as Python, SQL, Spark, or PySpark, plus the ability to work independently in fast-paced environments.
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 innovative analytical methodologies.
- Customer-facing experience and work with intelligence analysts or special operations customers.
Culture & Benefits
- 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 and financial wellness support.
- Training and development opportunities, award programs, and company-sponsored events.
- Work environment focused on work-life balance and professional growth.
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