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5 results for Cloud Computing Analyst in Somerville, NJ

Cloud Engineering Specialist

Union, New Jersey
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

Data Analyst

Somerset, New Jersey
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

Senior Data Engineer (Databricks)

Morristown, New Jersey
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 & 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. QUALIFIED CANDIDATES SHOULD HAVE EXPERIENCE WITH:<ul><li>Serving as a Databricks SME</li><li>ERP integrations (strong plus)</li><li>Python / PySpark</li><li>Performance tuning and optimization</li><li>Databricks maintenance, including VACUUM</li><li>Data governance and best practices</li><li>Semantic modeling</li></ul> RESPONSIBILITIES<ul><li>Architecture & Strategy: Design the ERDW.Next lakehouse (medallion/gold layer star schema) and govern data modeling, batch/streaming, and Delta Live Tables standards.</li><li>Build & 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.</li><li>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.</li><li>Governance & AI: Implement Unity Catalog governance (entitlements, lineage, audit) and curate Databricks Genie Agents for natural-language analytics.</li><li>Partner & 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.</li></ul>
2026-09-08T00:00:00Z

NICE CXone Engineer (Hybrid)

River Edge, New Jersey
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
We are looking for a NICE CXone Engineer to support and enhance contact center technology operations for a legal organization in River Edge, New Jersey. This role focuses on building efficient call flows, improving platform performance, and strengthening communication systems that support intake and pre-litigation teams. The ideal candidate brings hands-on experience with CXone, RingCentral, automation, and analytics, along with the ability to translate technical solutions into measurable business results. Responsibilities: • Create and refine contact center routing frameworks, including queue structures, skill-based distribution, and call path logic to improve service efficiency.• Build, test, and support CXone Studio scripts and automated workflows that streamline daily operations and reduce manual effort.• Manage RingCentral configuration and maintain reliable integrations between telephony tools and connected business systems.• Analyze platform data and reporting trends to identify opportunities for stronger performance across intake, pre-litigation, and related functions.• Develop and optimize outbound dialing strategies and campaign settings to improve reach, responsiveness, and conversion outcomes.• Introduce AI-driven features and process automation that increase team productivity and accelerate response times.• Partner with operational leaders and frontline users to deliver training, promote adoption, and ensure effective use of contact center tools.• Continuously assess system performance and implement enhancements that improve scalability, reliability, and user experience.
2026-09-23T00:00:00Z

Data Engineer

Princeton, New Jersey
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