5 results for Cloud Computing Analyst in Baltimore, MD

Cyber Security Engineer

Washington, DC
onsite
Temporary
40.5 - 46.2 USD / Hourly
About the Opportunity:Our team is seeking a skilled Cyber Security Engineer for a contract position supporting a major client in the Washington, DC area. This is an exciting opportunity to join a team dedicated to safeguarding complex enterprise environments using industry-leading security solutions.Key Responsibilities:<ul><li>Design, implement, and manage security infrastructure utilizing popular cyber security tools such as Splunk, Palo Alto Networks, CrowdStrike, Tenable Nessus, and Cisco Firepower.</li><li>Monitor network and system security, identify vulnerabilities, and respond to threats and incidents in real-time.</li><li>Collaborate cross-functionally to establish and enforce security best practices, policies, and standards.</li><li>Conduct regular vulnerability assessments, penetration tests, and risk analyses.</li><li>Maintain and optimize security event monitoring and incident response workflows.</li></ul>
2026-04-06T00:00:00Z

Principal Advanced Analytics Engineer

Herndon, VA
onsite
Permanent
160000 - 180000 USD / Yearly
We are looking for an experienced Principal Advanced Analytics Engineer to join our team in Reston, Virginia. In this role, you will collaborate with business leaders and technical experts to design and implement cutting-edge AI and machine learning solutions that drive impactful insights and decision-making. This position offers the opportunity to lead advanced analytics initiatives, establish engineering standards, and mentor team members while staying at the forefront of emerging technologies. Responsibilities: • Collaborate with stakeholders to design and implement AI/ML solutions tailored to business objectives. • Develop and enforce engineering standards, design patterns, and quality controls for analytics projects. • Build and manage CI/CD pipelines for machine learning models, incorporating automated testing, monitoring, and retraining processes. • Integrate Responsible AI practices to ensure fairness, bias detection, explainability, and compliance with regulations. • Create and maintain enterprise data models, including dimensional and star schemas, to support analytics and business intelligence. • Work closely with analytics teams to deliver scalable and efficient data solutions. • Implement robust data security measures, access controls, and lineage tracking in line with corporate policies and privacy laws. • Stay updated on advancements in AI, ML, and BI technologies, bringing innovative solutions to the team. • Provide mentorship to Data Analytics Engineers, fostering attention to detail and promoting best practices.
2026-04-07T00:00:00Z

Cyber Secruity Engineer

McLean, VA
onsite
Temporary
45.05 - 50.01 USD / Hourly
About the Opportunity:Our team is seeking a skilled Cyber Security Engineer for a contract position supporting a major client in the Washington, DC area. This is an exciting opportunity to join a team dedicated to safeguarding complex enterprise environments using industry-leading security solutions.Key Responsibilities:<ul><li>Design, implement, and manage security infrastructure utilizing popular cyber security tools such as Splunk, Palo Alto Networks, CrowdStrike, Tenable Nessus, and Cisco Firepower.</li><li>Monitor network and system security, identify vulnerabilities, and respond to threats and incidents in real-time.</li><li>Collaborate cross-functionally to establish and enforce security best practices, policies, and standards.</li><li>Conduct regular vulnerability assessments, penetration tests, and risk analyses.</li><li>Maintain and optimize security event monitoring and incident response workflows.</li></ul>
2026-04-06T00:00:00Z

IT Monitoring & Observability Engineer

Washington, DC
onsite
Temporary
50 - 55 USD / Hourly
We are seeking an experienced IT Monitoring & Observability Engineer to support enterprise monitoring, performance, and availability across a complex IT environment. This role is responsible for managing and optimizing a unified monitoring and event management platform, driving actionable insights, improving alert quality, and supporting 24x7 operations.The ideal candidate has strong hands‑on experience with OpenText Operations Bridge Manager (OBM) and related monitoring tools, deep knowledge of infrastructure monitoring, and a solid understanding of ITIL/ITSM practices. Key Responsibilities<ul><li>Support and manage a unified Configuration Management Database (CMDB), ensuring accuracy and standardization</li><li>Collect, aggregate, and analyze monitoring and performance data to support ITIL processes including:</li><li>Configuration</li><li>Event</li><li>Capacity</li><li>Availability</li><li>Demand</li><li>Incident and Problem Management</li><li>Assess, tune, and optimize monitoring capabilities to deliver accurate, actionable alerts for 24x7 operations teams</li><li>Design, create, and maintain intuitive dashboards showing real‑time and historical service health and performance</li><li>Configure, maintain, and optimize monitoring dashboards across diverse infrastructure components</li><li>Deploy, manage, and update Management Packs, connectors, and monitoring policies</li><li>Perform event correlation, suppression, and filtering to reduce alert noise and improve incident triage</li><li>Integrate data from third‑party monitoring tools into a centralized event console</li><li>Conduct proactive performance and availability monitoring, identify root causes, and implement preventive measures</li><li>Support continuous improvement of monitoring strategy, tooling, and operational effectiveness</li></ul>
2026-03-16T00:00:00Z

Data Engineer

Washington, DC
onsite
Temporary
55 - 65 USD / Hourly
I’m building a world-class team to power our next generation of data products. We’re looking for a Senior Data Engineer who knows AWS inside and out—someone who can design secure, scalable data pipelines, own ETL/ELT workflows, engineer cloud data infrastructure, and deliver dimensional and semantic models that our analysts, data scientists, and applications can trust.You’ll work closely with product, security, platform engineering, and analytics to move our architecture toward a real-time, governed, cost-aware, and highly automated data ecosystem.What You’ll Do<ul><li>Design & build end-to-end pipelines on AWS (batch and streaming) using services like Glue, EMR, Lambda, Step Functions, Kinesis, MSK, and Fargate.</li><li>Develop robust ETL/ELT (PySpark, Spark SQL, SQL, Python) for structured, semi-structured, and unstructured data at scale.</li><li>Own data storage & processing layers: S3 (Lake/Lakehouse), Redshift (or Snowflake on AWS), DynamoDB, and Athena with strong partitioning, compaction, and performance tuning.</li><li>Implement data models (3NF, dimensional/star, Data Vault, Lakehouse medallion) for analytics and operational workloads.</li><li>Engineer secure infrastructure-as-code with Terraform (or CDK) across multi-account setups; implement CI/CD via GitHub Actions or AWS CodeBuild/CodePipeline.</li><li>Harden security & governance: use IAM, Lake Formation, KMS, Secrets Manager, VPC/PrivateLink, GLUE Catalog, and fine-grained access controls. Partner with SecOps on compliance (e.g., SOC 2, FedRAMP, HIPAA depending on dataset).</li><li>Observability & reliability: build monitoring with CloudWatch, OpenTelemetry, and data quality checks (e.g., Great Expectations, Deequ), implement SLOs and alerts.</li><li>Champion best practices: code reviews, testing (unit/integration), documentation, runbooks, and blameless postmortems.</li><li>Mentor mid-level engineers and collaborate on architectural decisions, standards, and technical roadmaps.</li></ul>
2026-03-10T00:00:00Z