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9 часов назад

Data Scientist (Big Data)

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
Data Scientist (Big Data): Building and maintaining bulk data pipelines and analytics capabilities for cloud-based national security applications with an accent on Spark, Python, ETL, data quality, and operational reporting. Focus on transforming structured and unstructured data into query-friendly datasets, designing complex notebook-based pipelines, and supporting customer-driven system enhancements.

Location: Chantilly, Virginia, United States

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

Company

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

What you will do

  • Support requirements for new system capabilities in a customer cloud computing environment.
  • Extend and maintain bulk data pipelines and enhance multiple applications.
  • Build ETL processes that transform structured and unstructured data into enriched, query-friendly indexed files.
  • Process operating-system and data logs into reports, metrics, and dashboards using tools such as CloudWatch and Kibana.
  • Perform data mapping, extraction, transformation, loading, data review, and quality analysis.
  • Collaborate with customers and integration partners and contribute to Agile task definition, scope, and review.

Requirements

  • Active TS/SCI clearance with polygraph is required.
  • Experience with Spark, PySpark, Python, SQL, MySQL, and PostgreSQL.
  • Experience with ETL, data mapping, source and target documentation, data dictionaries, and data modeling.
  • Experience processing XML and JSON files, using regular expressions, and working with IDEs, notebooks, and Visual Studio.
  • Experience building analytic reports and dashboards with CloudWatch, Kibana, or similar tools.
  • Experience interfacing with customers and integration partners in an Agile development environment.

Nice to have

  • Experience with Databricks, Elastic MapReduce, and complex Spark data-set joins.
  • Experience tuning Spark streaming and batch jobs and deploying notebook-based pipelines.
  • Experience with Pandas and AWS services such as Lambda, SNS/SQS, EC2, DynamoDB, and RDS.
  • Experience with the Elastic, Elasticsearch, Logstash, and Kibana stack.

Culture & Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Health Savings Account with company contribution.
  • Paid time off, paid holidays, and paid parental leave.
  • 401(k) plan 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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