13 Results for Cloud Computing Analyst Jobs in Princeton, NJ

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Cloud Engineering Specialist

Union, NJ
onsite
Temporary / Contract
42.75 - 49.5 USD / Hourly
We are looking for a skilled Cloud Engineering Specialist to support secure and reliable cloud services for a university environment in Union, New Jersey. This Long-term Contract position focuses on strengthening Microsoft 365 and related identity platforms while helping maintain resilient, scalable, and high-performing systems. The role is well suited for a hands-on cloud specialist who can balance technical problem-solving, automation, and cross-functional collaboration in a dynamic academic setting. Responsibilities: • Oversee daily administration and support of the Microsoft 365 environment to ensure dependable service delivery and strong platform performance. • Manage and enhance cloud and identity solutions across Azure, Active Directory, Exchange Online, SharePoint, and Okta-connected services. • Develop and maintain automation scripts, including PowerShell-based tasks, to improve efficiency, consistency, and operational control. • Troubleshoot authentication, access, and integration issues involving cloud platforms and federated identity services. • Partner with security, infrastructure, and application teams to strengthen the protection, availability, and scalability of institutional systems. • Produce reports and validate account or access data by reconciling information from connected enterprise platforms such as student-related systems. • Support cloud engineering initiatives by applying sound technical judgment and documenting solutions, configurations, and support processes.
2026-09-25T00:00:00Z

Cloud Infrastructure Support Technician

King of Prussia, PA
onsite
Temporary to Hire
28 - 32 USD / Hourly
We are looking for a Cloud Infrastructure Support Technician to join our team in Pennsylvania in a contract-to-permanent capacity. This role supports day-to-day cloud operations and end-user technology needs, with a strong emphasis on Microsoft 365 and Azure administration. The ideal candidate brings hands-on technical support experience, strong troubleshooting ability, and a proactive approach to improving reliability, security, and user experience across the environment. Responsibilities: • Oversee administration of the Microsoft Azure and Microsoft 365 environment, including account provisioning, group management, license assignment, and ongoing tenant health and security review. • Deliver responsive support to employees by diagnosing and resolving issues involving devices, operating systems, connectivity, and core Microsoft 365 applications such as Exchange Online, SharePoint, Teams, OneDrive, and Office tools. • Set up, maintain, and optimize cloud-based platforms and applications within the Microsoft ecosystem to ensure stable and effective service delivery. • Create and update clear technical documentation, support procedures, and resolution records to improve knowledge sharing and operational consistency. • Partner with the broader digital and IT teams to introduce new technologies, strengthen current solutions, and support infrastructure-related initiatives. • Track hardware assets and software entitlements to help maintain accurate inventory records and licensing compliance. • Monitor system performance, endpoint posture, and security controls, applying updates and patches when needed to sustain reliability and protection. • Assist with technology rollout efforts involving Microsoft infrastructure and end-user equipment deployment.
2026-09-18T00:00:00Z

Cloud Engineer II

Philadelphia, PA
onsite
Temporary / Contract
54 - 57 USD / Hourly
Cloud Engineer IIThis Statement of Work covers a six-week Phase 0 proof-of-concept engagement. Phase 0 is intended to validate feasibility, not to deliver an enterprise-scale production service.This position will deploy an open-weight model endpoint in the client's infrastructure in AWS, connect it to OpenCode, and provide enough evidence for the client to decide whether to proceed to Phase 1.The Phase 0 business case is based on validating whether open-weight inference can work for non-Opus coding workloads, with success criteria including model quality, latency, throughput, end-to-end developer flow, developer satisfaction, and a go/no-go decision for the next phase. Responsibilities• Deploy and configure an AWS-hosted, open-weight coding model endpoint using client-provided infrastructure.• Configure model-serving runtime, GPU allocation, endpoint exposure, health checks, service routing, basic error logging, credential handling, and repeatable deployment artifacts.• Expose the model endpoint through an OpenAI-compatible API path capable of supporting representative coding prompts.• Configure and validate OpenCode integration with the model endpoint, including any required adapter, proxy, gateway, or compatibility layer.• Demonstrate end-to-end OpenCode-to-model request flow for representative coding-agent workflows.• Demonstrate representative coding-assistance use cases, including code completion, code explanation, unit test generation, refactoring assistance, error diagnosis, small feature implementation, tool usage, repository/file-context prompts where supported prompts and agent skills, and OpenCode/Open Spec workflows.• Collect and save basic performance data in Grafana, including time to first token, end-to-end latency, tokens per second, concurrency behavior, error rate, GPU utilization, and memory utilization.• Implement baseline observability for the POC, including logs, health checks, basic metrics, and simple dashboard or metric views where feasible.• Provide reusable deployment and configuration artifacts, such as Helm values, Kubernetes manifests, scripts, runtime configuration, gateway/proxy configuration, runbook, troubleshooting notes, and environment assumptions.• Support limited developer validation with a small client-designated pilot group if access, timing, and dependencies allow.• Support a lightweight quality comparison between the open-weight model and client's current coding-assistant experience if time and access allow.• Provide preliminary Phase 1 sizing inputs, including throughput observations, bottlenecks, latency drivers, scaling considerations, recommended AWS instance families, and remaining unknowns.• Deliver a written final report covering architecture, deployment, OpenCode integration results, functional test results, performance measurements, technical gaps, security and operational considerations, cost and scale observations, reusable artifacts, and Phase 1 readiness.• Deliver a clear Phase 1 go/no-go recommendation, including required changes, unresolved risks, and recommended next steps for AWS-based enterprise-scale implementation.• Conduct a knowledge-transfer session with stakeholders at the end of the engagement.
2026-10-05T00:00:00Z

Sr. Cloud Engineer

Camden, NJ
onsite
Permanent / Full Time
140000 - 150000 USD / Yearly
We are looking for an experienced Sr. Cloud Engineer to lead the design and operation of secure, scalable cloud environments. This role focuses on building resilient multi-cloud infrastructure across AWS and Microsoft Azure while advancing automation, governance, and operational reliability. The ideal candidate brings strong expertise in Terraform, cloud architecture, and enterprise-wide security practices, along with a practical approach to performance monitoring and cost control. Responsibilities:• Build and manage multi-cloud infrastructure across AWS and Azure with a focus on security, scalability, and reliability.• Create and enhance infrastructure automation using Terraform to standardize provisioning, configuration, and ongoing platform management.• Establish enterprise cloud governance by designing landing zones, multi-account structures, and policy controls across AWS and Azure environments.• Monitor platform health, security posture, compliance status, and service availability using native and third-party observability tools.• Partner with application and infrastructure teams to develop backup, disaster recovery, high-availability, and failover solutions that support business continuity.• Review cloud environments regularly to improve resource utilization, strengthen security controls, and reduce unnecessary spend.• Advise stakeholders on cloud architecture, operational best practices, troubleshooting, and approaches for moving on-premises systems into cloud platforms.• Design and maintain identity and access management models, including role-based access and federated identity solutions across cloud accounts and subscriptions.• Produce and maintain clear technical documentation covering architecture standards, configurations, procedures, and support processes.• Contribute to capacity planning, performance tuning, and long-term platform optimization initiatives across enterprise cloud services.
2026-09-23T00:00:00Z

Snowflake Data Engineer

Radnor, PA
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives. Responsibilities: • Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases. • Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable. • Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption. • Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite. • Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate. • Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes. • Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability. • Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers. • Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions. • Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
2026-09-23T00:00:00Z

Data Scientist

Bala Cynwyd, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools. Responsibilities: • Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting. • Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders. • Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format. • Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows. • Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources. • Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences. • Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices. • Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed. • Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
2026-10-01T00:00:00Z

Data Analyst

Tinton Falls, NJ
onsite
Temporary / Contract
18 - 20 USD / Hourly
Robert Half is partnering with one of its clients for a true entry level data analysis project. Role is expected to be 2 to 3 months in length. Expectations are to help with an excel reconciliation project. Great opportunity to build out a resume! Responsibilities:• Examine records to identify duplicate entries, inconsistencies, and data quality issues.• Use Excel formulas and analytical techniques to organize, validate, and reconcile large sets of information.• Investigate irregular payment patterns and summarize findings for internal stakeholders.• Clean and update datasets to improve accuracy, consistency, and reporting reliability.• Maintain clear documentation of data issues, corrective actions, and recurring trends.
2026-10-06T00:00:00Z

Data Analyst

Somerset, NJ
onsite
Temporary to Hire
45.6 - 52.8 USD / Hourly
We are looking for a Data Analyst to join a team in Somerset, New Jersey and turn complex information into actionable insight that strengthens fraud detection efforts. This contract opportunity with potential for a permanent role is ideal for someone who combines strong analytical thinking with practical experience identifying suspicious patterns, supporting investigations, and improving anti-fraud decision-making. The role offers the chance to work closely with business partners to interpret data, surface risk trends, and contribute to a more proactive fraud strategy. Responsibilities: • Examine large data sets to identify unusual activity, emerging fraud patterns, and indicators of potential risk. • Create reports, dashboards, and analytical summaries that help stakeholders monitor fraud performance and make informed decisions. • Partner with investigation and business teams to translate data findings into practical actions that support fraud prevention efforts. • Evaluate transactional and behavioral information to uncover trends, root causes, and opportunities to reduce exposure. • Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources. • Refine analytical methods and detection approaches to improve accuracy, efficiency, and responsiveness in anti-fraud initiatives.
2026-09-25T00:00:00Z

Data Analyst

New York, NY
onsite
Temporary / Contract
25 - 30 USD / Hourly
We are looking for a detail-oriented Data Analyst to support long-term research and data validation initiatives in New York, New York. This is a Long-term Contract position focused on building reliable company intelligence through careful analysis of corporate structures, ownership relationships, and transaction activity. The ideal candidate will combine strong investigative research skills with a disciplined approach to data accuracy, organization, and consistency across complex datasets. Responsibilities: • Investigate public and internal information sources to compile organized records of companies, related entities, and corporate affiliates. • Clean and align company names, identifiers, and reporting structures so information remains consistent across datasets. • Map ownership connections by documenting parent organizations, subsidiaries, and other entity relationships. • Examine corporate events such as mergers, acquisitions, divestitures, and reorganizations to capture relevant transaction details. • Review and interpret data from multiple sources, then sort, filter, and refine findings according to defined research criteria. • Perform validation checks to confirm records are accurate, complete, and formatted to established standards. • Identify unclear, missing, or conflicting information and escalate items that require additional research or clarification.
2026-10-02T00:00:00Z

Desktop Support Analyst

New York, NY
onsite
Temporary / Contract
29.45 - 34.1 USD / Hourly
We are looking for a Desktop Support Analyst to provide hands-on technical support for end users in New York, New York. This Long-term Contract position is ideal for someone who enjoys resolving device, access, and hardware issues while delivering dependable day-to-day support across a fast-paced environment. The role focuses on maintaining desktop performance, supporting Apple-based technology, and helping employees stay productive through responsive service and sound troubleshooting. Responsibilities: • Deliver front-line technical assistance for desktop, laptop, mobile, and peripheral issues, ensuring timely resolution for end users. • Support Apple devices and Apple iOS platforms by diagnosing problems, configuring settings, and maintaining reliable performance. • Administer device management tasks through Jamf Pro, including provisioning, policy updates, and routine support activities. • Troubleshoot hardware failures and coordinate repair or replacement of workstations and related equipment as needed. • Assist users with identity and access issues by supporting authentication tools such as Okta. • Provide support for desktop environments that interact with technologies such as Cisco, Citrix, Android, and computer hardware platforms. • Set up, image, deploy, and maintain end-user devices to meet operational and security standards. • Document incidents, solutions, and recurring technical issues to improve service efficiency and knowledge sharing.
2026-10-02T00:00:00Z

Data Engineer

Princeton, NJ
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments. Responsibilities: • Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms. • Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability. • Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance. • Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions. • Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability. • Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies. • Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
2026-09-23T00:00:00Z

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000 - 150000 USD / Yearly
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-10-08T00:00:00Z

Network Engineer (Linux & Kubernetes)

Philadelphia, PA
onsite
Temporary / Contract
44 - 49 USD / Hourly
We are looking for a Network Engineer with strong Linux & Kubernetes experience to support the reliability, deployment, and ongoing improvement of software systems in Philadelphia, Pennsylvania. The Linux/Network Support Engineer will support the design, development, implementation, and operation of technical products and systems. The role will focus heavily on deployment automation, continuous integration, cloud infrastructure, production support, monitoring, and containerized environments. Biggest Needs<ul><li>Strong networking fundamentals and hands-on network troubleshooting skills.</li><li>Strong command of Linux environments.</li><li>Hands-on Kubernetes experience.</li><li>Willingness to participate in an on-call rotation, including nights, weekends, and holidays.</li></ul>Key Responsibilities<ul><li>Support vCMTS and RPHY turn-ups across the country.</li><li>Perform vCMTS platform stand-up, software installation, and ongoing system and network maintenance.</li><li>Implement changes, including system upgrades, RMAs, risk management, and automation.</li><li>Develop automation scripts using Python, Bash, and similar technologies.</li><li>Identify service-impacting trends and partner with development teams to implement long-term solutions.</li><li>Troubleshoot server hardware, software, systems, and network issues.</li><li>Handle incident mitigation for virtual Cable Modem Termination Systems.</li><li>Partner with regional engineering teams to identify product reliability improvements and build automation tools.</li><li>Work with Product and Project Management to integrate and operationalize new products.</li><li>Build and replace system hardware as needed.</li><li>Participate in an on-call rotation with the rest of the team.</li></ul>
2026-09-16T00:00:00Z

13 results for Cloud Computing Analyst in Princeton, NJ