GDIT
technology and professional services
DataAnalyticsEngineer
“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
Applying for this Data Analytics Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about GDIT?
Real rants from real employees. Read before you apply.