9 часов назад
Data Scientist (Big Data)
150 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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