Data Analytics Engineer, TS/SCI with Polygraph with Security Clearance

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Job description

REQ#: RQ182017 Requisition Type: Regular Your Impact Own your opportunity to serve as a critical component of our nation's safety and security. Make an impact by using your expertise to protect our country from threats. Job Description 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 Work Requirements Years of Experience 5 + years of related experience may vary based on technical training, certification(s), or degree Certification Travel Required None Citizenship U.S. Citizenship Required Salary and Benefit Information The likely salary range for this position is $115,256 - $155,934. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. View information about benefits and our total rewards program. About Our Work We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

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