Data Analytics Engineer, TS/SCI with Polygraph

As a Data Analytics Engineer, you will:Evolve Extract, Transform, Load (ETL) pipelines of structured and unstructured data from a variety 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 QualificationsYou have a bachelor’s degree in Statistics, Computer Science, Mathematics, or a related quantitative field.3+ years of experience developing ETL pipelines using SAS, Python, or R.Proficiency in SQL, NoSQL, or MySQL queries.3+ 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 QualificationsAbility 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 with 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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