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Top Hybrid Data & Analytics Jobs in Baltimore, MD

11+ Job Results
4 Days Ago
Annapolis Junction, MD, USA
Hybrid
35,000 Employees
118K-201K Annually
3-5 Years of Experience
35,000 Employees
118K-201K Annually
3-5 Years of Experience
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
The Database Administrator will be responsible for maintaining the integrity, security, and availability of multiple databases, including disaster recovery, performance analysis, and tuning. Additional duties include data organization, SQL query execution, and system updates.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+58 More
9 Days Ago
Baltimore, MD, USA
Hybrid
364,000 Employees
3-5 Years of Experience
364,000 Employees
3-5 Years of Experience
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Senior Associate, work as part of a team of problem solvers to solve complex business issues. Responsibilities include self-awareness development, critical thinking, extracting insights from industry trends, and upholding ethical standards.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+66 More
4 Days Ago
Fort Meade, MD, USA
Hybrid
170 Employees
7+ Years of Experience
170 Employees
7+ Years of Experience
Other
As a Workforce Training Manager at Barbaricum, you will assess, advise, and assist the acquisition workforce at DISA's Fort Meade headquarters. Responsibilities include evaluating program structures, training requirements, and workforce initiatives to support defense acquisition programs.

Featured Jobs

23 Days Ago
Fort Meade, MD, USA
Hybrid
27 Employees
5-7 Years of Experience
27 Employees
5-7 Years of Experience
Information Technology • Software • Design
The Senior Data Scientist will work within the DevOps Team to design, develop, and maintain the Outage Management Ecosystem (OME), automate data handling processes, and develop analytics solutions. Responsibilities include building ETLs, creating predictive models, diagnostic machine learning models, and supporting business requirements.
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