Pacific Northwest National Laboratory - Boston, MA

posted about 2 months ago

Full-time - Mid Level
Boston, MA
Professional, Scientific, and Technical Services

About the position

The Computing and Information Technology Directorate at Pacific Northwest National Laboratory (PNNL) is dedicated to transforming the research experience through innovative digital technologies. This position plays a crucial role in simplifying the research process, enabling data-driven insights for decision-makers, and accelerating PNNL's research missions. The successful candidate will be responsible for designing and implementing data collection mechanisms that utilize PowerShell, SQL, and REST APIs to gather cybersecurity data from various sources. This role requires a strong focus on processing and transforming the collected data using Python and Java, developing robust scripts and applications to prepare the data for analysis. In addition to data collection, the candidate will architect and manage data storage solutions, leveraging Splunk for real-time data analysis and a backend database for long-term storage. The role involves creating and optimizing high-performance queries and dashboards in Splunk to deliver actionable cybersecurity insights. The candidate will also develop and maintain ETL pipelines to ensure seamless data flow and integration between collection, processing, and storage systems. Furthermore, the position includes implementing and managing identity and access management (IAM) solutions to ensure secure and appropriate access to data and systems. The successful candidate will oversee vulnerability management processes, utilizing collected data to identify, assess, and mitigate security risks. Collaboration with cybersecurity teams is essential to refine data requirements and develop solutions that enhance threat detection and response. This position is ideal for individuals who are passionate about cybersecurity and data management, and who thrive in a collaborative research environment.

Responsibilities

  • Design and implement data collection mechanisms using PowerShell, SQL, and REST APIs to gather cybersecurity data from various sources.
  • Process and transform collected data with Python and Java, developing robust scripts and applications to prepare data for analysis.
  • Architect and manage data storage solutions, utilizing Splunk for real-time data analysis and a backend database for long-term storage.
  • Create and optimize high-performance queries and dashboards in Splunk to deliver actionable cybersecurity insights.
  • Develop and maintain ETL pipelines to ensure seamless data flow and integration between collection, processing, and storage systems.
  • Implement and manage identity and access management (IAM) solutions, ensuring secure and appropriate access to data and systems.
  • Oversee vulnerability management processes, using collected data to identify, assess, and mitigate security risks.
  • Collaborate with cybersecurity teams to refine data requirements and develop solutions that enhance threat detection and response.

Requirements

  • BS/BA and 5+ years of relevant work experience -OR- MS/MA and 3+ years of relevant work experience -OR- PhD with 1+ year of relevant experience.
  • Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
  • Experience designing and managing large-scale and high-performance ETL pipelines, cloud infrastructure, deploying analytics/machine learning applications, and/or building enterprise dashboards.
  • Experience with a variety of data platforms such as Splunk, SQL databases, REST APIs, cloud data services.
  • Software development/scripting experience (e.g., Python, PowerShell, SQL, Java).
  • Supporting CI/CD pipelines.
  • Collaborating/supporting Data Scientists/Analysts, Machine Learning Engineers, and/or Software Engineers.
  • Strong peer leadership, interpersonal, collaborative, and customer relationship skills.

Nice-to-haves

  • Experience with cloud infrastructure and services.
  • Familiarity with machine learning applications and analytics deployment.
  • Experience in a research environment or with government contracts.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Health savings account
  • Flexible spending accounts
  • Basic life insurance
  • Disability insurance
  • Employee assistance program
  • Business travel insurance
  • Tuition assistance
  • Supplemental parental bonding leave
  • Surrogacy and adoption assistance
  • Fertility support
  • Company funded pension plan
  • 401k savings plan
  • Up to 120 vacation hours per year
  • Ten paid holidays per year.
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