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Principal Analytics Engineer

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Location

Beaverton, OR, Remote. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.

Design, build and implementation of class-leading cyber security data systems and big-data cyber security-data products. Serve as a driving force setting strategic technical capability in service of solving complex cyber security data problems at petabyte scale. Document and implement enterprise security processes and procedures with a mindset of continual process improvement and scalability. Evaluate risks and presenting logical concerns and possible solutions. Serve as an initiator for delivering operational best practices. Support a big data analytics platform through its lifecycle including implementation, maintenance, improvements, and divestiture while ensuring consistency and reliability. Interface with internal or external organizations regarding security policy and standards violations, security controls failure and incident response situations. Work with performance metrics and changing, to improve performance. Responsible for the administration, configuration, optimization and programming of data systems Create custom dashboards, optimizing Splunk queries, and configuring Splunk files. Provide guidance and mentorship to junior members of the analytics team, fostering a culture of continuous learning, improvement and development. Create cyber threat detections and create cyber incident alerts.

Must have a Bachelors in Computer Science, Information Technology, Software Engineering, Data Engineering, or Information Security and 5 years of progressive postbaccalaureate experience in the job offered or a Engineering-related occupation.

Experience must include:

  • Data Engineering
  • Dev Sec Ops
  • Cloud Architectures
  • Database Tools
  • Programing/Development
  • Machine Learning Understanding
  • Data Lake and Data Lake House
  • Cyber Security Understanding
  • Data Warehouse
  • Data Analysis
  • Data Modeling
  • Data Visualization.

Or, must have No Degree and 7 years of experience in the job offered or Engineering-related occupation. Experience must include:

  • Data Engineering
  • Dev Sec Ops
  • Cloud Architectures
  • Database Tools
  • Programing/Development
  • Machine Learning Understanding
  • Data Lake and Data Lake House
  • Cyber Security Understanding
  • Data Warehouse
  • Data Analysis
  • Data Modeling
  • Data Visualization.

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