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Data Engineer with TS/SCI (AWS)

140 000 - 170 000$
Тип работы
fulltime
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 with TS/SCI (AWS): Building and optimizing scalable data pipelines and information systems for government software products with an accent on data governance, distributed computing, cloud integration, and product delivery. Focus on designing end-to-end dataflows, integrating AWS services and datastores, automating infrastructure, and supporting deployed applications.

Location: Washington, DC, United States

Salary: $140,000–$170,000 per year

Company

IT solutions provider focused on system modernization, agile software development, DevSecOps, and long-term improvements to customer systems and capabilities.

What you will do

  • Interpret business needs and design scalable data solutions in collaboration with business stakeholders, IT experts, subject-matter experts, and a government product owner.
  • Design, develop, maintain, and optimize end-to-end data pipelines and robust dataflows from development through production.
  • Implement data governance for shared and master data sets and maintain schemas, data dictionaries, and ETL transformation artifacts.
  • Integrate pipelines with AWS services and datastores to support data analysis and meaningful insights.
  • Improve infrastructure scalability, optimize data delivery, and automate manual processes.
  • Provide Tier 3 support, document data capabilities, contribute to product roadmaps, and coordinate delivery with a product team of 7–8 FTEs.

Requirements

  • Active TS/SCI clearance is required.
  • Bachelor’s degree or equivalent practical experience.
  • Expertise with distributed computing frameworks for large-scale data processing.
  • Experience with AWS or other cloud environments and data stores including PostgreSQL, S3, Redshift, MongoDB or DynamoDB, Redis, Elasticsearch or OpenSearch, and SQL.
  • Proficiency with Python, pandas, PySpark, NiFi, Airflow, AWS Lambda or similar technologies, plus Docker, Kubernetes, JMS/SQS, SNS, and Kafka.
  • Experience with Linux/Unix environments, Agile development, technical documentation or presentations, Jira, Confluence, and milestone coordination.

Culture & Benefits

  • Extensive medical, dental, and vision coverage.
  • Employer contribution of 7% of annual salary toward a 401(k).
  • Paid time off.
  • $5,000 annually for ongoing education and training.
  • Monthly social and technology events.
  • Occasional evening or weekend support may be required for deployments.

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