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Data Analytics Engineer

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Salary

$142,792 - $169,832

Location

Chantilly, VA

Posted

2 days ago

As a Data Analytics Engineer, you will:

  • Evolve Extract, Transform, Load (ETL) pipelines of structured and unstructured data from a verity of disparate sources to meet the needs of an advanced Insider Threat program.
  • Design analytical visualizations via custom dashboards through a collaborative process with Data Science and Analysis staff.
  • Participate in all steps of the continuous development lifecycle - including design, development, testing, and deployment.
  • Provide support and presentations of the visualization platform to internal customers and senior leadership.
  • Work with the design team and product management to implement innovative analytic and visualization approaches to solve real-world threat problems.

Required qualifications

  • You have a bachelor’s degree in Statistics, Computer Science, Mathematics, or a related quantitative field.
  • 8+ years of experience developing ETL pipelines using SAS, Python, or R.
  • Proficiency in SQL, NoSQL, or MySQL queries.
  • 8+ years of developing visual analytics reports in SAS Visual Analytics, SAS Visual Investigator, SAS Studio, Tableau, QlikView or similar technology.
  • Excellent interpersonal communication skills and willingness to learn.

Preferred qualifications

  • Ability to resolve user questions through a combination of independent study, investigative programming, and especially collaborative efforts with team members.
  • Platform administration and engineering experience with SAS 9 or SAS Viya 4 or similar architecture.
  • SAS Certifications or certifications from similar technologies.
  • User Interfaces (UI) and/or User Experiences (UX) design.
  • Experience with automation development in Python.
  • Experience with API development.
  • Experience working with cloud technologies (Docker, Kubernetes); Azure / AWS / GCP / OpenShift infrastructure experience.
  • Demonstrated experience of Agile development practices and tools such as GITLAB.
  • Demonstrated experience CI/CD and associated tools like Jenkins, Git, Gerrit, Linux commands, etc.
  • Good experience in working with containerization technologies such as Docker and Kubernetes
  • Understanding of open-source programming languages.

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