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10 results for Cloud Computing Analyst in King of Prussia, PA

Data Analyst
  • Lyon Station, PA
  • onsite
  • Temporary / Contract
  • 23.75 - 30 USD / Hourly
  • <p>We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Berks County, Pennsylvania. This role is ideal for someone who excels at interpreting data, identifying trends, and delivering actionable insights to support organizational goals. You will play a pivotal role in ensuring data accuracy and optimizing processes through advanced analysis techniques.</p><p><br></p><p>Responsibilities:</p><p>• Analyze complex datasets to identify trends, patterns, and insights that guide business decisions.</p><p>• Perform accurate data entry tasks, ensuring the integrity of numeric information.</p><p>• Develop and maintain Excel formulas to streamline data processing and reporting.</p><p>• Generate detailed reports and dashboards tailored to organizational needs.</p><p>• Collaborate with cross-functional teams to understand data requirements and provide solutions.</p><p>• Ensure data accuracy and troubleshoot discrepancies in large datasets.</p><p>• Provide actionable recommendations based on findings from data analysis.</p><p>• Manage and organize datasets for easy retrieval and future use.</p><p>• Monitor data workflows and suggest improvements to enhance efficiency.</p><p>• Maintain confidentiality and security of sensitive information.</p><p>If interested please send resume on a word dcoumnt to Jim.Kirk@Roberhalf com</p>
  • 2026-04-28T00:00:00Z
Data Analyst
  • Philadelphia, PA
  • onsite
  • Temporary to Hire
  • 20 - 23 USD / Hourly
  • <p>Robert Half is seeking a meticulous a Data Analyst to support equipment finance activities for a contract opportunity with permanent potential based in Philadelphia, Pennsylvania. This Data Analyst role centers on reviewing business and account information, confirming data accuracy across financial platforms, and helping maintain dependable records for reporting and operational use. The ideal Data Analyst candidate is highly detail-oriented, comfortable working with large datasets, and able to spot inconsistencies that could affect finance or fraud-related analysis. Click the apply button today and put your talents to the test. If you have any questions, please contact Robert Half at 215-568-4580 and mention job reference #03720-0013428417.</p><p><br></p><p><br></p><p>As a Data Analyst Your Responsibilities will include but are not limited to:</p><p>• Review account and company records across Salesforce and internal data sources to confirm completeness, accuracy, and proper classification.</p><p><br></p><p>• Investigate discrepancies, missing details, and conflicting information, then update records or escalate issues for resolution.</p><p><br></p><p>• Validate that organizations tied to accounts are legitimate equipment-selling businesses and flag records that appear questionable.</p><p><br></p><p>• Perform structured data quality checks that strengthen reporting reliability for operations and finance stakeholders.</p><p><br></p><p>• Partner with cross-functional teams to clarify record issues, support accurate financial information, and improve overall data confidence.</p><p><br></p><p>• Document findings, corrections, and recurring data issues to support audit readiness and process refinement.</p><p><br></p><p>• Use Excel and other data tools to analyze record sets, identify patterns, and support efficient validation work.</p><p><br></p><p>• Contribute to fraud-aware data review efforts by recognizing suspicious inconsistencies and escalating potential risk indicators when necessary.</p>
  • 2026-04-29T00:00:00Z
Data Analyst
  • Philadelphia, PA
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.
  • 2026-04-30T00:00:00Z
Sr. Cloud Solutions DevOps Engineer
  • Fort Washington, PA
  • remote
  • Permanent / Full Time
  • 135000 - 145000 USD / Yearly
  • <p>We are seeking a highly experienced and strategic Senior Cloud Solutions DevOps Engineer/Architect to provide technical leadership across our AWS and Azure cloud platforms. In this pivotal role, you will architect, automate, and secure enterprise-level cloud infrastructure—driving best-in-class DevOps and operational practices for mission-critical SaaS applications. You’ll serve as the primary technical bridge between Software Development and SaaS Operations, ensuring end-to-end scalability, security, performance, and reliability.</p><p><strong>Key Responsibilities:</strong></p><p><strong>Cloud Architecture &amp; Engineering</strong></p><ul><li>Architect and implement secure, scalable, and highly available cloud environments (AWS primary, Azure minimal)</li><li>Lead modernization initiatives leveraging cloud-native services</li><li>Design resilient, multi-region solutions aligned with SLA, RPO, RTO requirements</li><li>Establish and evolve cloud architecture standards and operational guardrails</li></ul><p><strong>DevOps, CI/CD &amp; Automation</strong></p><ul><li>Design, implement, and enhance CI/CD pipelines using Git and GitLab</li><li>Lead Infrastructure-as-Code (IaC) at scale using Terraform</li><li>Automate provisioning, release orchestration, and environment management</li><li>Integrate DevSecOps practices, including automated testing and security scanning</li></ul><p><strong>Advanced Networking &amp; Connectivity</strong></p><ul><li>Lead complex cloud networking, hybrid connectivity, and segmentation (VPC/VNET, VPN, Direct Connect, ExpressRoute)</li><li>Architect network security: firewalls, security groups, zero-trust models, secure ingress/egress, DDoS protection</li><li>Troubleshoot cross-cloud, cross-region, and hybrid environments</li></ul><p><strong>Cross-Functional Partnership &amp; Leadership</strong></p><ul><li>Act as the technical liaison among Development, QA, Security, and SaaS Ops teams</li><li>Translate business and application requirements into secure, scalable cloud solutions</li><li>Mentor and coach DevOps, Cloud Engineers, and Reliability Engineers</li><li>Contribute to roadmap planning, tech evaluation, and architectural governance</li></ul><p><strong>Security, Compliance &amp; Reliability</strong></p><ul><li>Champion security-by-design and zero-trust principles</li><li>Support compliance initiatives (SOC 2 Type II, HIPAA, HITRUST, ISO 27001, customer audits)</li><li>Oversee IAM, secrets management, encryption, and SIEM integration</li><li>Implement centralized logging, monitoring, and automated incident response</li></ul><p><strong>Operational Excellence &amp; Cost Governance</strong></p><ul><li>Drive FinOps strategies including cloud cost optimization and chargeback</li><li>Develop and maintain operational runbooks, disaster recovery, and documentation</li><li>Lead root cause analyses and continuous improvement of delivery metrics</li></ul><p><br></p>
  • 2026-04-17T00:00:00Z
Data Warehouse Analyst
  • Princeton, NJ
  • onsite
  • Permanent / Full Time
  • 70000 - 80000 USD / Yearly
  • <p>We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.</p><p>• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.</p><p>• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.</p><p>• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.</p><p>• Automate reporting processes to improve accuracy and timeliness of operational data.</p><p>• Continuously enhance data integrity and streamline workflows to optimize logistics operations.</p><p>• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.</p><p>• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.</p><p>• Investigate and implement tools and techniques to improve overall business intelligence capabilities.</p>
  • 2026-04-30T00:00:00Z
Cyber Security Engineer
  • Wayne, PA
  • onsite
  • Temporary to Hire
  • 0 - 0 USD / Yearly
  • We are looking for a skilled and dedicated Cyber Security Engineer to join our team in Chesterbrook, Pennsylvania. This contract-to-permanent position involves overseeing information security governance, managing vendor relationships, and mitigating risks to ensure a secure and compliant environment. The ideal candidate will bring hands-on expertise in security practices, coupled with strong analytical and communication skills, to drive the implementation of robust security programs.<br><br>Responsibilities:<br>• Act as the primary liaison with offshore teams to ensure compliance with organizational security policies and standards.<br>• Monitor vendor performance against service level agreements and identify areas for improvement.<br>• Develop and enforce governance practices to align operations with security and compliance requirements.<br>• Collaborate with business units to ensure security measures are integrated into vendor projects.<br>• Conduct assessments to evaluate supplier compliance with confidentiality, integrity, and availability standards.<br>• Provide expert advice on information security, analyzing vulnerabilities and recommending remediation strategies.<br>• Draft and maintain organizational security policies and procedures, ensuring adherence to compliance standards.<br>• Prepare detailed reports on security governance and vulnerabilities for stakeholders and leadership teams.<br>• Facilitate regular risk assessments and vulnerability scans, ensuring timely resolution of findings.<br>• Support special projects and contribute to the continuous improvement of security practices.
  • 2026-04-30T00:00:00Z
Snowflake Solutions Engineer
  • Easton, PA
  • remote
  • Permanent / Full Time
  • 100000 - 120000 USD / Yearly
  • <p>Are you passionate about next-generation data engineering, AI, and modern cloud technologies? Our company is seeking an innovative and driven Snowflake Solutions Engineer to join our IT team in a fully remote capacity. In this role, you will lead the design and implementation of advanced Snowflake-native applications and AI-powered data solutions, creating measurable business impact utilizing Snowflake’s latest platform features. This is an exceptional opportunity to work at the forefront of data, leveraging Streamlit, Cortex AI, and emerging Snowflake technologies.</p><p><strong>Key Responsibilities:</strong></p><p><strong>Snowflake Native Application Development (30%)</strong></p><ul><li>Design and build interactive data applications using Snowflake Streamlit to enable intuitive, self-service analytics and operational workflows for business users.</li><li>Develop reusable frameworks and component libraries for rapid application delivery.</li><li>Integrate Snowflake Native Apps and third-party marketplace applications to continuously extend platform capabilities.</li><li>Create custom UDFs and stored procedures to support advanced business logic.</li></ul><p><strong>Data Architecture and Modern Platform Design (30%)</strong></p><ul><li>Develop cutting-edge data architecture solutions spanning data warehousing, data lakes, and lakehouse approaches.</li><li>Implement medallion (bronze-silver-gold) patterns to maintain data quality and governance.</li><li>Recommend optimal architecture patterns for structured analytics, semi-structured data, and AI/ML workloads.</li><li>Establish best practices for data organization, storage optimization, and query performance.</li></ul><p><strong>AI &amp; Advanced Analytics Collaboration (15%)</strong></p><ul><li>Partner with AI/data science teams to support and enhance Snowflake-based AI workloads.</li><li>Enable implementation of Snowflake Cortex AI features for practical business cases.</li><li>Guide data access and feature engineering for ML model requirements.</li><li>Contribute platform expertise to AI proof-of-concept initiatives.</li></ul><p><strong>Security, Governance, &amp; Technical Leadership (15%)</strong></p><ul><li>Design and implement RBAC hierarchies, enforcing least privilege principles.</li><li>Define security best practices including network policies and encryption; implement row/column security and data masking.</li><li>Apply tag-based policies for advanced governance.</li><li>Monitor and optimize application performance, cost, and user experience.</li><li>Lead architectural discussions, create technical documentation, and share best practices.</li></ul><p><br></p>
  • 2026-04-21T00:00:00Z
Data Scientist (Big Data) III (Contractor)
  • Philadelphia, PA
  • remote
  • Temporary / Contract
  • 50 - 55 USD / Hourly
  • <p><strong>Data Scientist (Big Data) III – Contractor</strong></p><p><strong>Employment Type:</strong> 27 Week Contract, Potential for Extension or Conversion</p><p><strong>Location: </strong>MUST CURRENTLY RESIDE in Philadelphia Region</p><p><strong>Employment Type:</strong> Contract / Temporary</p><p><strong>Pay: </strong>Available on W2 </p><p><strong>Position Overview</strong></p><p>The Senior Data Scientist (Big Data) will support large‑scale data science initiatives by designing, developing, and deploying advanced analytical and machine learning solutions. This role collaborates closely with data engineers, analysts, software developers, and business stakeholders to deliver scalable, production‑ready data products that drive data‑informed decision making.</p><p>The successful candidate will apply statistical modeling, machine learning, and big data technologies to solve complex business problems, while also providing technical guidance and mentorship across project teams.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead complex, cross‑functional data science initiatives delivering solutions across multiple technologies and platforms.</li><li>Design, develop, and deploy data mining, statistical, machine learning, and graph‑based algorithms for large‑scale data sets.</li><li>Partner with data engineering teams to ensure proper implementation, performance, and operational use of analytical solutions.</li><li>Review and assess data science programs and models at an enterprise level to evaluate suitability, performance, and scalability.</li><li>Build and maintain scalable big‑data analytics solutions supporting accurate targeting, forecasting, and advanced insights.</li><li>Develop and support end‑to‑end machine learning pipelines, including data preparation, training, testing, validation, and deployment.</li><li>Establish performance metrics, monitoring, and evaluation procedures for models in production.</li><li>Translate complex analytical findings into clear, actionable insights for technical and non‑technical stakeholders.</li><li>Provide mentorship and technical guidance to junior team members.</li><li>Contribute to data strategy, methodology selection, and continuous improvement of analytics capabilities.</li><li>Support testing, validation, and user acceptance activities to ensure alignment with business requirements.</li><li>Perform additional related duties as needed to support analytics and data initiatives.</li></ul>
  • 2026-04-20T00:00:00Z
Data Engineer
  • West Chester, PA
  • onsite
  • Permanent / Full Time
  • 125000 - 135000 USD / Yearly
  • We are looking for a Data Engineer to strengthen our data and analytics capabilities in West Chester, Pennsylvania. This role will shape reliable data architecture, support enterprise reporting, and help turn complex information into practical business insight. The position is ideal for someone who enjoys building scalable data solutions, improving performance, and working across Microsoft-based data technologies.<br><br>Responsibilities:<br>• Design and support enterprise data solutions that enable dependable analytics, reporting, and operational decision-making.<br>• Build, optimize, and maintain database structures and data processing workflows using SQL Server, Azure SQL Database, and T-SQL.<br>• Develop and enhance SSIS packages and related data pipelines to ensure accurate, timely, and efficient movement of information across systems.<br>• Create scalable datasets and reporting foundations that support Power BI dashboards and broader business intelligence needs.<br>• Monitor data platform performance, troubleshoot issues, and implement improvements that increase stability, security, and efficiency.<br>• Partner with business and technical stakeholders to translate reporting and analytics goals into practical data engineering solutions.<br>• Lead efforts to move legacy SQL Server workloads into Azure-based services while maintaining data integrity and minimizing disruption.<br>• Establish standards and best practices for data quality, documentation, and ongoing platform maintenance.
  • 2026-04-22T00:00:00Z
Data Engineer
  • Camden, NJ
  • onsite
  • Permanent / Full Time
  • 90000 - 130000 USD / Yearly
  • <p>We are looking for a Data Engineer to join a team focused on building reliable, scalable data solutions. In this role, you will create and enhance cloud-based data pipelines, organize data for analytics, and help ensure that business teams have access to trusted information. This position also partners closely with technical and non-technical stakeholders to turn reporting and data needs into practical engineering outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Create and support scalable data ingestion and transformation workflows using Azure Data Factory, Databricks, and PySpark.</p><p>• Connect and consolidate data from enterprise platforms, operational databases, telematics feeds, APIs, and other internal or external sources.</p><p>• Structure and manage data within Azure Data Lake and lakehouse environments to support performance, accessibility, and long-term maintainability.</p><p>• Design curated datasets, data models, and schemas that improve usability for analytics, business intelligence, and downstream reporting.</p><p>• Apply governance and lineage practices through Unity Catalog while promoting strong data quality, consistency, and security standards.</p><p>• Work with business stakeholders and cross-functional teams to gather requirements, define technical specifications, and deliver data solutions aligned with operational needs.</p><p>• Improve pipeline stability and efficiency by troubleshooting failures, resolving performance issues, and refining storage and query strategies.</p><p>• Support Power BI reporting by preparing datasets, assisting with model improvements, and helping maintain reporting standards and governance practices.</p><p>• Use GitHub-based development practices for version control, peer review, CI/CD, and disciplined deployment processes.</p><p>• Mentor less-experienced engineers and contribute to a collaborative environment focused on continuous improvement and dependable delivery.</p>
  • 2026-04-30T00:00:00Z