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3 results for Cloud Computing Analyst in Pittsburgh, PA
- Pittsburgh, PA
- onsite
- Temporary / Contract
- 90000 - 200000 USD / Yearly
- <p>We are looking for Cloud and DevOps professionals interested in exploring new opportunities with organizations modernizing their infrastructure, cloud environments, and software delivery capabilities.</p><p><br></p><p><strong>Location:</strong> Pittsburgh, PA (Hybrid Onsite Opportunities Available)</p><p><strong>Compensation:</strong> $100,000 - $200,000+ depending on experience and position</p><p><strong>Schedule:</strong> Full-Time</p><p><br></p><p><strong>Opportunities May Include:</strong></p><ul><li>Cloud Engineer</li><li>Cloud Architect</li><li>DevOps Engineer</li><li>Site Reliability Engineer (SRE)</li><li>Platform Engineer</li><li>Infrastructure Engineer</li><li>Systems Engineer</li><li>Cloud Operations Manager</li><li>Solutions Architect</li></ul><p><strong>Responsibilities:</strong></p><ul><li>Design, implement, and support cloud infrastructure</li><li>Automate deployments and infrastructure provisioning</li><li>Develop and maintain CI/CD pipelines</li><li>Improve reliability, scalability, and system performance</li><li>Monitor and respond to infrastructure issues</li><li>Implement security and compliance best practices</li><li>Collaborate with development and operations teams to streamline delivery processes</li></ul><p><br></p>
- 2026-10-14T00:00:00Z
- Pittsburgh, PA
- onsite
- Temporary / Contract
- 85000 - 200000 USD / Yearly
- <p>We are looking for Data Analytics, Data Science, and AI professionals interested in exploring new opportunities with organizations leveraging data to drive strategic decision-making and innovation. We are partnering with multiple companies seeking talent across analytics, machine learning, artificial intelligence, and advanced reporting functions.</p><p><br></p><p><strong>Location:</strong> Pittsburgh, PA (Hybrid and Onsite Opportunities Available)</p><p><strong>Compensation:</strong> $85,000 - $200,000+ depending on experience and position</p><p><strong>Schedule:</strong> Full-Time</p><p><br></p><p><strong>Opportunities May Include:</strong></p><ul><li>Data Analyst</li><li>Senior Data Analyst</li><li>Business Intelligence Analyst</li><li>BI Developer</li><li>Data Scientist</li><li>Senior Data Scientist</li><li>Machine Learning Engineer</li><li>AI Engineer</li><li>Applied AI Engineer</li><li>AI/ML Engineer</li><li>Manager, Data & Analytics</li></ul><p><strong>Responsibilities:</strong></p><ul><li>Analyze large datasets to uncover trends, patterns, and actionable insights</li><li>Build dashboards, reports, and visualizations for business stakeholders</li><li>Develop predictive models, machine learning solutions, and AI-driven applications</li><li>Partner with cross-functional teams to solve complex business challenges</li><li>Evaluate and improve data quality, reporting accuracy, and analytical processes</li><li>Develop and deploy machine learning models into production environments</li><li>Communicate findings and recommendations to technical and non-technical audiences</li></ul><p><br></p>
- 2026-10-14T00:00:00Z
- Pittsburgh, PA
- onsite
- Temporary / Contract
- 80000 - 160000 USD / Yearly
- <p>We are looking for Data Engineering and Analytics Engineering professionals interested in exploring new opportunities with growing organizations across the Pittsburgh market. We are partnering with multiple companies that are investing in modern data platforms, cloud infrastructure, and enterprise analytics initiatives.</p><p><br></p><p><strong>Location:</strong> Pittsburgh, PA (Hybrid, Remote, and Onsite Opportunities Available)</p><p><strong>Compensation:</strong> $80,000 - $160,000+ depending on experience and position</p><p><strong>Schedule:</strong> Full-Time</p><p><br></p><p><strong>Opportunities May Include:</strong></p><ul><li>Data Engineer</li><li>Senior Data Engineer</li><li>Analytics Engineer</li><li>Data Platform Engineer</li><li>Data Warehouse Engineer</li><li>Cloud Data Engineer</li><li>ETL/ELT Developer</li><li>Data Architect</li><li>Lead Data Engineer</li></ul><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and maintain scalable data pipelines and data platforms</li><li>Build and optimize ETL/ELT processes supporting analytics and business operations</li><li>Develop and manage cloud-based data solutions and data warehouses</li><li>Partner with analytics, business, and technology teams to deliver trusted data products</li><li>Ensure data quality, reliability, governance, and performance across enterprise environments</li><li>Automate data workflows and support modern data engineering best practices</li><li>Support reporting, analytics, AI, and machine learning initiatives through effective data architecture</li></ul>
- 2026-10-14T00:00:00Z