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Job Description:
  • Demonstrated experience with data engineering, to include designing and building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems.
  • Demonstrated experience with data management and integration, including designing and operating robust data layers for application development across local and cloud or web data sources.
  • Demonstrated work experience programming with Python
  • Demonstrated experience building scalable ETL and ELT workflows for reporting and analytics.
  • Demonstrated experience with general Linux computing and advanced bash scripting
  • Demonstrated experience with SQL.Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDSDemonstrated 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 GitDemonstrated experience using Elastic and Kibana technologies
  • 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
  • Desired Skills and Demonstrated Experience
  • Demonstrated experience with cloud services, such as AWS, as well as cloud data technologies and architecture.
  • 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

Also on the board Same function, level within a rung

Level

Senior

Location

Reston, VA

Occupation

Data Scientists

Industry

Computer Systems Design Services

Posted

today

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