Software Engineer

BT-123 – Software Engineer
Location: McLean (fully on-site, no remote option)
 

**MUST HAVE A POLY CLEARANCE TO APPLY. Those without a Poly clearance will not be considered.**

• Demonstrated experience with full-stack development.
• Demonstrated work experience with Angular.
• Demonstrated work experience with Node.js.
• Demonstrated work experience with SQL.
• Demonstrated work experience programming with Python
• Demonstrated experience with general Linux computing and advanced bash scripting
• Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS
• Demonstrated experience processing data sources containing structured or unstructured data
• Demonstrated experience developing data pipelines with NiFi to bring data into a central environment
• Demonstrated experience delivering results to stakeholders through written documentation and oral briefings
• Demonstrated experience using code repositories such as Git
• Demonstrated experience using Elasticsearch and Kibana technologies
• Demonstrated experience with ServiceNow.
• Demonstrated experience working with multiple stakeholders
• Demonstrated experience documenting such artifacts as code, Python packages and methodologies
• Demonstrated experience using Jupyter Notebooks
• Demonstrated experience with machine learning techniques including natural language processing
• Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats
• Demonstrated experience developing tested, reusable and reproducible work
• Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics

• Demonstrated experience with cloud services, such as AWS
• Demonstrated experience using big data processing tools such as Apache Spark or Trino
• Demonstrated experience with machine learning algorithms
• Demonstrated experience with using container frameworks such as Docker or Kubernetes
• Demonstrated experience with using data visualizations tools such as Tableau, Kibana or Apache Superset
• Demonstrated experience creating learning objectives and creating teaching curriculum in technical or scientific fields