GDIT
technology and professional services
DataAnalyticsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Analytics Engineer at GDIT. Skills: ETL, SAS, Tableau, SQL. Evolve ETL pipelines of structured and unstructured data. Design analytical visualizations via custom dashboards”
Industry & Context.
resolve user questions; investigative programming
Top Secret SCI + Polygraph clearance
What They're Looking For.
Must Have
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
Nice to Have
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
What You'll Do.
Evolve ETL pipelines of structured and unstructured data
Design analytical visualizations via custom dashboards
Participate in continuous development lifecycle
Provide support and presentations of visualization platform
Work with design team and product management
How You'll Work.
Team & Collaboration
collaborative process with Data Science and Analysis staff; collaborative efforts with team members
Communication Scope
Excellent interpersonal communication skills; Provide support and presentations
Full Job Description
**_Type of Requisition:_** Regular _**Clearance Level Must Currently Possess:**_ Top Secret SCI + Polygraph _**Clearance Level Must Be Able to Obtain:**_ Top Secret SCI + Polygraph ** _Public Trust/Other Required:_** None _**Job Family:**_ Data Science and Data Engineering ** _Job Qualifications:_** **Skills:** Data Visualization, Data Visualization Tools, Extract Transform Load (ETL), SAS, Tableau (Software) **Certifications:** None **Experience:** 8 + years of related experience **US Citizenship Required:** Yes _**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. * 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 exp
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