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7 results for Cloud Computing Analyst in Somerville, NJ

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.<br><br>Responsibilities:<br>• Oversee daily administration and support of the Microsoft 365 environment to ensure dependable service delivery and strong platform performance.<br>• Manage and enhance cloud and identity solutions across Azure, Active Directory, Exchange Online, SharePoint, and Okta-connected services.<br>• Develop and maintain automation scripts, including PowerShell-based tasks, to improve efficiency, consistency, and operational control.<br>• Troubleshoot authentication, access, and integration issues involving cloud platforms and federated identity services.<br>• Partner with security, infrastructure, and application teams to strengthen the protection, availability, and scalability of institutional systems.<br>• Produce reports and validate account or access data by reconciling information from connected enterprise platforms such as student-related systems.<br>• Support cloud engineering initiatives by applying sound technical judgment and documenting solutions, configurations, and support processes.
  • 2026-09-25T00:00:00Z
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.<br><br>Responsibilities:<br>• Examine large data sets to identify unusual activity, emerging fraud patterns, and indicators of potential risk.<br>• Create reports, dashboards, and analytical summaries that help stakeholders monitor fraud performance and make informed decisions.<br>• Partner with investigation and business teams to translate data findings into practical actions that support fraud prevention efforts.<br>• Evaluate transactional and behavioral information to uncover trends, root causes, and opportunities to reduce exposure.<br>• Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources.<br>• 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.<br><br>Responsibilities:<br>• Investigate public and internal information sources to compile organized records of companies, related entities, and corporate affiliates.<br>• Clean and align company names, identifiers, and reporting structures so information remains consistent across datasets.<br>• Map ownership connections by documenting parent organizations, subsidiaries, and other entity relationships.<br>• Examine corporate events such as mergers, acquisitions, divestitures, and reorganizations to capture relevant transaction details.<br>• Review and interpret data from multiple sources, then sort, filter, and refine findings according to defined research criteria.<br>• Perform validation checks to confirm records are accurate, complete, and formatted to established standards.<br>• 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.<br><br>Responsibilities:<br>• Deliver front-line technical assistance for desktop, laptop, mobile, and peripheral issues, ensuring timely resolution for end users.<br>• Support Apple devices and Apple iOS platforms by diagnosing problems, configuring settings, and maintaining reliable performance.<br>• Administer device management tasks through Jamf Pro, including provisioning, policy updates, and routine support activities.<br>• Troubleshoot hardware failures and coordinate repair or replacement of workstations and related equipment as needed.<br>• Assist users with identity and access issues by supporting authentication tools such as Okta.<br>• Provide support for desktop environments that interact with technologies such as Cisco, Citrix, Android, and computer hardware platforms.<br>• Set up, image, deploy, and maintain end-user devices to meet operational and security standards.<br>• Document incidents, solutions, and recurring technical issues to improve service efficiency and knowledge sharing.
  • 2026-10-02T00:00:00Z
Senior Data Engineer (Databricks)
  • Morristown, NJ
  • remote
  • Permanent / Full Time
  • 120000 - 145000 USD / Yearly
  • A leading infrastructure and transportation group is seeking a hands-on Senior Data Engineer to architect and build our next-generation Enterprise Reporting &amp; Data Warehouse (ERDW.Next) on Databricks. Acting as the hands-on technical owner, you will drive target-state design, medallion architecture (Delta Lake), and legacy migrations off SQL Server/Synapse while remaining actively in the codebase. You will partner with our Enterprise Architect, Power BI team, business users, and offshore delivery partners across finance, construction, and safety domains. <br> experience in CANDIDATES SHOULD HAVE EXPERIENCE WITH: Serving as a Databricks SME ERP integrations (strong plus) Python / PySpark Performance tuning and optimization Databricks maintenance, including VACUUM Data governance and best practices Semantic modeling <br> RESPONSIBILITIES Architecture &amp; Strategy: Design the ERDW.Next lakehouse (medallion/gold layer star schema) and govern data modeling, batch/streaming, and Delta Live Tables standards. Build &amp; Migration: Write production-grade PySpark, Spark SQL, and Delta Live Tables pipelines orchestrated via Databricks Workflows. Re-engineer legacy SSIS/T-SQL/Synapse logic and ingest ERP data (JD Edwards, Anaplan) using CDC and Auto Loader. Platform Operations: Optimize cost/performance using Photon, Liquid Clustering, and OPTIMIZE. Manage CI/CD pipelines via Git and Databricks Asset Bundles while maintaining strict SLAs. Governance &amp; AI: Implement Unity Catalog governance (entitlements, lineage, audit) and curate Databricks Genie Agents for natural-language analytics. Partner &amp; Legacy Management: Support legacy platforms during transition and maintain code quality standards across offshore partner teams. Leverage agentic AI coding tools safely to accelerate delivery.
  • 2026-10-13T00:00:00Z
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.
  • 2026-09-23T00:00:00Z
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.<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