STR-posted 3 days ago
Senior
Arlington, VA
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STR’s Intelligence Division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts use them to extract and enrich intelligence information around the globe.

  • Collaborate to create and maintain software for data pipelines, algorithms, storage, and access
  • Build infrastructure for extraction, transformation, and loading using SQL and AWS technologies
  • Architect and implement capabilities for integrating technologies and orchestrating workflows
  • Build analytic tools that utilize data pipelines to provide actionable insights into customer requests
  • Identify, design, and implement internal process improvements
  • Monitor data for changes that could significantly impact system performance
  • Develop and execute plans to mitigate issues, maximize uptime, and ensure system performance
  • Active Top Secret security clearance, for which U.S. citizenship is needed by U.S. Government
  • Motivated collaborator looking to work with a large and distributed team
  • Ability to lead and direct development initiatives from inception to prototype and production
  • BS, MS, or PhD in a related field or equivalent experience
  • 5+ years of experience in one or more high level programming languages, like Python
  • Experience with AWS cloud services, SQL, and a variety of databases
  • Experience working with large datasets, building and optimizing pipelines and architectures
  • Experience in navigating and contributing to complex, large code bases
  • Possession of Security+ or other certifications
  • Experience developing processes for data transformation and workload management
  • Experience with development of REST APIs, access control, and auditing
  • Experience with DevOps pipelines
  • Experience using Big Data tools: e.g. Hadoop, Spark, Kafka, ElasticSearch
  • Experience with Data Lakes: e.g. Delta Lake, Apache Hudi, Apache Iceberg
  • Experience with Distributed Data Warehouse Frontends: e.g. Apache Hive, Presto
  • Experience with Data pipeline and workflow management tools: e.g Luigi, Airflow
  • Experience with Dashboard frontends: e.g. Grafana, Kibana
  • Experience with Stream-processing systems: e.g. Storm, Spark-Streaming, etc.
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