Top Data & Analytics Jobs in Baltimore, MD

Manage and optimize high-volume data ingestion pipelines using Apache NiFi; administer NiFi clusters; write Python automation; deploy and support scalable data platforms; operate Elasticsearch and Kibana for analytics; work in Linux and containerized environments to ensure reliable, secure mission-critical dataflows.

Design, develop, and maintain Power BI dashboards and data aggregations. Automate workflows with Power Automate and SharePoint. Collaborate with stakeholders to define requirements, track project milestones for government programs, and produce technical documentation and ad-hoc analyses to support decision-making.

The Senior Solutions Architect will lead the design and optimization of scalable data platforms, focusing on cloud-based environments, big data technologies, and data visualization for federal data analytics initiatives.

The Big Data Architect will design and implement big data solutions using various technologies while leading projects, providing technical guidelines, and collaborating with project teams.

Collect and transmit data from retail stores using a scanning device, counting inventories, scanning UPC codes, and collecting promotional information.

The Applied Research Mathematician will develop and apply mathematical methods to solve complex problems, involving advanced mathematics and algorithm development.

Responsible for designing, developing, deploying, and supporting the BI framework using Microstrategy and Business Objects, addressing the needs of internal clients.

The Senior Data Analyst will analyze complex datasets, develop dashboards, perform customer experience analytics, and leverage statistical modeling to enhance operational performance and service delivery within ITSM environments.

The PL SQL Developer will design and develop reports, work with clients to determine requirements, and support reports in production for federal service agencies.

The internship offers military service members civilian work experience in data science through data analysis and related skillsets over 90-180 days.