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15 results for Cloud Computing Analyst in South Brunswick, NJ

Cloud Engineer
  • Morristown, NJ
  • remote
  • Permanent / Full Time
  • 140000 - 161000 USD / Yearly
  • We are looking for a Cloud Engineer to help build and support resilient cloud infrastructure in Morristown, New Jersey. In this role, you will create automation-first solutions using Terraform and Infrastructure as Code practices to improve scalability, consistency, and security. You will partner with development, DevOps, security, and infrastructure teams to deliver reliable cloud platforms and streamline deployment processes.<br><br>Responsibilities:<br>• Architect, implement, and maintain cloud environments across major platforms such as AWS, Azure, or Google Cloud.<br>• Create and refine reusable Terraform modules and infrastructure code standards to enable consistent provisioning at scale.<br>• Automate infrastructure deployment, system configuration, and operational workflows to reduce manual effort and improve reliability.<br>• Develop and support cloud networking, identity, security, and observability capabilities for enterprise applications.<br>• Work with cross-functional engineering teams to advance CI/CD pipelines and strengthen cloud automation practices.<br>• Investigate and resolve issues affecting infrastructure, cloud services, and application performance.<br>• Apply security controls, governance policies, and compliance measures throughout the cloud environment.<br>• Track platform health, availability, and resource usage to support performance optimization and capacity planning.<br>• Support container-based platforms using technologies such as Kubernetes and Docker.<br>• Produce clear technical documentation, architecture visuals, and operational procedures while contributing to cloud modernization initiatives.
  • 2026-10-26T00:00:00Z
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.<br><br>Responsibilities:<br>• Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases.<br>• Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable.<br>• Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption.<br>• 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.<br>• Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate.<br>• Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes.<br>• Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability.<br>• Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers.<br>• Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions.<br>• Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
  • 2026-11-03T00:00:00Z
Data Analyst
  • New York, NY
  • onsite
  • Temporary / Contract
  • 35.15 - 40.7 USD / Hourly
  • We are looking for a Data Analyst to join a FinTech organization in New York, New York. This Long-term Contract position is ideal for someone who enjoys translating complex commercial and sales data into practical recommendations that support pricing, forecasting, and business decisions. In this role, you will work across teams to strengthen reporting accuracy, develop analytical models, and present insights that help guide deal strategy and revenue outcomes.<br><br>Responsibilities:<br>• Build and refine analytical models and reusable templates to evaluate new business opportunities as well as converted accounts.<br>• Perform margin-focused assessments on proposed deals to support pricing decisions and overall commercial strategy.<br>• Create clear presentation materials that summarize commercial proposals, financial considerations, and key business insights.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, risks, and recommendations for stakeholders.<br>• Audit and validate Salesforce data to improve consistency, completeness, and reporting reliability.<br>• Maintain accurate weekly tracking reports and ensure leadership has timely visibility into performance metrics and pipeline activity.<br>• Analyze sales and pricing data to uncover trends, compare scenario outcomes, and support revenue forecasting.<br>• Partner with cross-functional teams including Sales and Finance to align analysis with business objectives and customer needs.
  • 2026-11-03T00:00:00Z
Data Analyst
  • New York, NY
  • onsite
  • Temporary / Contract
  • 33 - 37 USD / Hourly
  • We are looking for a Data Analyst to join a FinTech organization on a long-term contract assignment. This role focuses on transforming commercial and sales data into meaningful analysis that supports pricing decisions, revenue planning, and opportunity evaluation. The successful candidate will work closely with cross-functional partners to develop clear reporting, validate critical business data, and deliver insights that strengthen decision-making across the business.<br><br>Responsibilities:<br>• Create analytical models and decision-support templates to assess new business and converted opportunities.<br>• Evaluate deal economics by examining margins, pricing structures, and overall commercial viability.<br>• Develop effective presentation materials that summarize commercial proposals and support stakeholder discussions.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, and recommendation points.<br>• Audit and maintain Salesforce data to improve accuracy, consistency, and reporting reliability.<br>• Keep weekly tracking reports current by monitoring key metrics, updating performance data, and highlighting notable changes.<br>• Analyze sales and pricing information to uncover trends, identify opportunities, and support more competitive market decisions.
  • 2026-11-03T00:00:00Z
Cyber Security Engineer
  • Saddle Brook, NJ
  • onsite
  • Temporary to Hire
  • 80 - 80 USD / Hourly
  • <p>We are looking for a Cyber Security Engineer to join a manufacturing organization in New Jersey in a contract capacity with the potential to become permanent. This position is ideal for a hands-on security specialist who can strengthen core cyber defenses, support compliance efforts, and collaborate across technical and business teams to protect critical systems and sensitive information. The role offers broad exposure to security operations, access governance, infrastructure protection, and risk management while helping advance the company’s internal security program.</p><p><br></p><p>Responsibilities:</p><p>• Monitor security events and investigate alerts, coordinating containment, escalation, and response activities to reduce risk and maintain operational resilience.</p><p>• Manage identity and access controls across enterprise platforms, including account lifecycle administration, privileged access oversight, and recurring entitlement reviews.</p><p>• Enhance endpoint security by supporting patching practices, encryption standards, configuration controls, and remediation of exceptions across the environment.</p><p>• Review and strengthen network defenses through firewall oversight, access rule validation, segmentation support, wireless security checks, and detection of unauthorized activity.</p><p>• Run vulnerability management activities by coordinating scans, ranking findings based on business impact, assigning corrective actions, and confirming remediation closure.</p><p>• Contribute to incident response readiness, disaster recovery planning, and business continuity testing to help restore essential operations within defined recovery targets.</p><p>• Support internal and external compliance obligations by maintaining evidence, security documentation, risk records, and materials required for audits and customer assessments.</p><p>• Evaluate third-party security posture by reviewing supplier controls, identifying risks, tracking mitigation plans, and documenting accepted risks when necessary.</p><p>• Deliver security awareness initiatives such as onboarding guidance, phishing simulations, and role-based training to improve employee readiness and reporting practices.</p><p>• Partner with internal teams and external providers to implement and document security tools, standards, runbooks, and scalable operational processes, including participation in on-call support when needed.</p><p><br></p><p>02710-0013514424</p><p><br></p>
  • 2026-10-30T00:00:00Z
Cyber Security Engineer
  • Saddle Brook, NJ
  • onsite
  • Temporary to Hire
  • 80 - 80 USD / Hourly
  • <p>We are looking for a Cyber Security Engineer to strengthen and modernize secure infrastructure across enterprise and industrial environments within chemicals manufacturing operations. This contract position with a path to a permanent role is based in New Jersey, and will focus on shaping resilient architecture for both IT and OT systems while ensuring strong alignment with cybersecurity and compliance expectations. The ideal candidate brings deep experience designing secure, scalable platforms and can partner effectively with technical and business teams to support safe, reliable operations.</p><p><br></p><p>Responsibilities:</p><p>• Create and evolve future-state architecture for infrastructure spanning networks, servers, virtualization platforms, cloud services, identity systems, and related core technologies.</p><p>• Develop secure and dependable solutions for corporate and plant environments that balance performance, uptime, and operational safety needs.</p><p>• Establish technical standards, reusable design patterns, and reference architectures to guide consistent implementation across IT and OT domains.</p><p>• Work closely with enterprise architects, application teams, operations technology teams, and cybersecurity partners to align infrastructure decisions across the organization.</p><p>• Design and strengthen infrastructure that supports industrial control environments, including plant networks, programmable control systems, and connected operational technologies.</p><p>• Integrate security-first principles into infrastructure planning by defining controls for segmentation, access management, monitoring, logging, vulnerability reduction, and incident readiness.</p><p>• Contribute to risk reviews, security assessments, and audit activities by identifying architectural gaps and recommending practical remediation strategies.</p><p>• Maintain clear technical diagrams, architecture records, and supporting documentation while advising stakeholders during project reviews and technology evaluations.</p><p>• Guide and mentor infrastructure engineers, promote knowledge sharing, and assess emerging technologies that can improve resilience, protection, and cost efficiency.</p><p><br></p><p>02710-0013476066</p><p><br></p>
  • 2026-10-22T00:00:00Z
Desktop Support Analyst
  • Philadelphia, PA
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a Desktop Support Analyst to provide hands-on technical support for end users and departmental technology needs in Philadelphia, Pennsylvania. This Contract position focuses on maintaining reliable desktop systems, resolving hardware and software issues, and supporting a broad range of computing equipment used in day-to-day operations. The ideal candidate brings a service-focused approach, strong troubleshooting ability, and the confidence to work independently while collaborating with technical and non-technical stakeholders.<br><br>Responsibilities:<br>• Deliver desktop support by installing, configuring, repairing, and maintaining computers, operating systems, peripheral devices, and specialized research-related equipment.<br>• Investigate and resolve technical incidents, respond to user inquiries, and restore service quickly while escalating uncommon or higher-risk issues when needed.<br>• Guide employees on proper system and equipment use, helping them work effectively and follow established technology practices.<br>• Recommend appropriate hardware and software purchases by providing technical input, product guidance, and specification details for departmental needs.<br>• Review the local computing environment to identify opportunities for improved performance, reliability, and process efficiency.<br>• Participate in the assessment and rollout of technology solutions, including product testing, implementation support, and validation with end users.<br>• Maintain accurate records by updating service tickets, documenting assigned work, and keeping inventory information current.<br>• Support configuration and user administration tasks within Windows environments and Active Directory as part of daily desktop operations.
  • 2026-10-15T00:00:00Z
Network Security Consultant
  • Iselin, NJ
  • remote
  • Temporary / Contract
  • 40.85 - 47.3 USD / Hourly
  • We are looking for a Network Security Consultant to support secure, resilient network environments for public-facing and internal platforms in Iselin, New Jersey. This Long-term Contract opportunity is ideal for a detail-oriented candidate who can strengthen enterprise security architecture, improve protected connectivity, and advise teams on practical risk reduction. The role will work closely with infrastructure, security, and application stakeholders to deliver scalable safeguards that align with operational and business needs.<br><br>Responsibilities:<br>• Create and deploy secure network architecture for internet-facing applications and connected internal systems.<br>• Develop segmentation approaches that separate critical environments and enforce protected communication across the enterprise.<br>• Administer and refine firewall configurations, access policies, and related security controls to support performance and protection goals.<br>• Design and maintain secure routing and access frameworks that govern connectivity between users, applications, and network resources.<br>• Advise technical teams on hardening externally accessible applications and strengthening service-level security measures.<br>• Implement and support multi-factor authentication, identity management capabilities, digital certificates, and encrypted communication standards.<br>• Deploy and maintain reverse proxy or web application firewall solutions to help defend public-facing services from threats.<br>• Establish effective logging, monitoring, alerting, and system-hardening practices to improve visibility and incident response readiness.<br>• Partner with infrastructure, security, and application teams to review proposed designs, support implementation planning, and recommend governance and risk mitigation improvements.
  • 2026-10-29T00:00:00Z
Data Scientist (Big Data) III (Contractor)
  • Philadelphia, PA
  • onsite
  • Temporary / Contract
  • 56 - 61 USD / Hourly
  • <p><strong>Data Scientist III </strong>(Supply Chain Optimization &amp; Forecasting)</p><p>Long Term Contract</p><p>Hybrid Philadelphia, PA</p><p>Pay: Available on W2</p><p><strong>Overview</strong></p><p>We are seeking an experienced <strong>Data Scientist III</strong> to support a Supply Chain Planning Center of Excellence focused on forecasting, inventory optimization, and advanced analytics. This individual will design and deploy data science and operations research solutions that improve demand planning, inventory performance, and supply chain decision-making across complex business networks.</p><p>This role requires a combination of Data Science and Operations Research expertise. Candidates should be comfortable building machine learning models as well as optimization and linear programming solutions that support supply chain planning and inventory decisions.</p><p><strong>Key Responsibilities</strong></p><p>Forecasting &amp; Data Science</p><ul><li>Develop and deploy time-series forecasting and machine learning models to improve demand planning performance.</li><li>Build and enhance demand forecasting models and machine learning solutions.</li><li>Develop inventory optimization, linear programming, and Operations Research models that improve planning decisions.</li><li>Analyze inventory performance, demand variability, and forecasting accuracy to improve business outcomes.</li><li>Translate business requirements into scalable analytical solutions.</li><li>Perform feature engineering, model development, validation, and statistical analysis using large-scale supply chain datasets.</li></ul><p>Inventory Optimization &amp; MEIO</p><ul><li>Lead the development, enhancement, and ownership of Multi-Echelon Inventory Optimization (MEIO) models.</li><li>Translate business requirements, operational constraints, and planning policies into mathematical optimization models and decision-support tools.</li><li>Develop optimization logic that balances inventory investment, service levels, safety stock, lead-time variability, network constraints, and cost objectives.</li></ul><p>Optimization Engineering</p><ul><li>Build and maintain mathematical optimization models using commercial optimization solvers such as Gurobi or similar platforms.</li><li>Apply optimization techniques including linear programming, mixed-integer programming, scenario modeling, simulation, and uncertainty-aware optimization.</li></ul><p>Data Engineering &amp; Operationalization</p><ul><li>Develop and maintain SQL-based ETL processes and data pipelines that support optimization and forecasting solutions.</li><li>Partner with data engineering teams to ensure data quality, availability, and reliability.</li><li>Create monitoring, governance, and documentation processes to support production-ready solutions.</li></ul>
  • 2026-10-21T00:00:00Z
Data Engineer
  • Saddle Brook, NJ
  • onsite
  • Temporary to Hire
  • 75 - 75 USD / Hourly
  • <p>We are looking for a Data Engineer to join a Chemicals Manufacturing organization in New Jersey in a contract-to-permanent capacity. This role focuses on creating reliable, secure, and scalable data solutions that connect operational and business systems to enterprise reporting, analytics, and advanced data use cases. The position will work across IT and operational environments to support trusted data delivery for functions such as finance, supply chain, operations, commercial teams, and corporate analytics.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain large-scale data pipelines that move information from enterprise and operational source systems into structured data layers for analytics and reporting.</p><p>• Develop curated and semantic data models that support business intelligence platforms, downstream applications, and data-driven decision-making across the organization.</p><p>• Connect manufacturing and operational technology data sources using approved integration methods while coordinating with plant and controls teams to protect system reliability and safety.</p><p>• Establish data quality standards through validation rules, automated testing, and monitoring processes that improve accuracy, completeness, and timeliness of delivered datasets.</p><p>• Implement observability practices such as lineage tracking, alerting, and operational runbooks to strengthen support processes and reduce production issues.</p><p>• Apply security and governance controls including access management, secrets handling, data classification, and retention practices aligned with enterprise policies.</p><p>• Automate deployment workflows with Git-based CI/CD processes to promote consistent releases across environments and improve delivery reliability.</p><p>• Tune platform performance and resource usage by optimizing processing strategies, scaling approaches, and storage patterns to balance speed and cost.</p><p>• Partner with BI, data, and IT stakeholders to define data contracts, document solutions, and provide operational knowledge transfer to internal teams and external partners.</p><p><br></p><p><br></p><p>02710-0013476075</p><p><br></p>
  • 2026-10-22T00:00:00Z
Data Engineer
  • Bridgewater, NJ
  • onsite
  • Temporary / Contract
  • 39.5865 - 45.837 USD / Hourly
  • We are looking for a Data Engineer to support healthcare-focused data initiatives in Bridgewater, New Jersey. This Long-term Contract position is ideal for someone who enjoys building reliable data pipelines, working with large-scale datasets, and improving the flow of information across technical environments. The role will contribute to scalable data solutions that help teams access, process, and analyze critical business data efficiently.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines to collect, transform, and deliver data from multiple sources.<br>• Develop ETL workflows that improve data quality, consistency, and availability for reporting and analytics needs.<br>• Use Python and Apache Spark to process high-volume datasets and optimize performance across data engineering tasks.<br>• Work with Hadoop-based environments to manage distributed data processing and storage effectively.<br>• Integrate streaming and batch data using Apache Kafka to support timely and dependable data movement.<br>• Partner with analysts, developers, and business stakeholders to translate data needs into practical engineering solutions.<br>• Monitor pipeline health, troubleshoot processing issues, and implement improvements that increase reliability and efficiency.
  • 2026-10-29T00:00:00Z
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.<br><br>Responsibilities:<br>• Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms.<br>• Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability.<br>• Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance.<br>• Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions.<br>• Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability.<br>• Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies.<br>• Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
  • 2026-11-03T00:00:00Z
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.<br><br>Responsibilities:<br>• Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows.<br>• Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions.<br>• Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use.<br>• Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints.<br>• Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions.<br>• Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets.<br>• Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels.<br>• Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing.<br>• 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
Data Engineer
  • Philadelphia, PA
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions.<br><br>Responsibilities:<br>• Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting.<br>• Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products.<br>• Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement.<br>• Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets.<br>• Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs.<br>• Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques.<br>• Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed.<br>• Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
  • 2026-10-16T00:00:00Z
Data Engineer
  • Philadelphia, PA
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a Data Engineer to join a Contract engagement supporting people analytics and HR-focused data initiatives in Philadelphia, Pennsylvania. This role is centered on designing, building, and refining scalable data pipelines and curated data assets using Azure Databricks and Azure Data Factory. The ideal candidate will be comfortable working hands-on with complex source data, translating business needs into reliable transformations, and delivering production-ready solutions with minimal oversight.<br><br>Responsibilities:<br>• Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products.<br>• Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use.<br>• Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery.<br>• Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic.<br>• Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions.<br>• Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation.<br>• Support integrations across HRIS and related platforms, including contributing to interface development where needed.<br>• Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
  • 2026-10-15T00:00:00Z