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 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.
• 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 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.

GDIT is Your Place:

• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays