We are looking for a Cloud Engineering Specialist to support a university technology environment in New Jersey. This long-term contract position will focus on strengthening secure, reliable, and scalable cloud services while supporting core identity and collaboration platforms used across the institution. The role is well suited for a hands-on cloud specialist who can balance administration, automation, and troubleshooting in a complex enterprise setting.<br><br>Responsibilities:<br>• Manage and support the Microsoft 365 environment to maintain dependable collaboration, messaging, and productivity services.<br>• Administer cloud and identity platforms such as Microsoft Azure, Active Directory, Exchange Online, SharePoint, and Okta to ensure stable access and secure operations.<br>• Develop and maintain automation scripts and configuration workflows using PowerShell and tools such as Ansible to improve efficiency and consistency.<br>• Monitor platform performance, availability, and security, then address incidents and service issues in a timely manner.<br>• Partner with technical teams and business stakeholders to implement cloud solutions that align with institutional needs and security expectations.<br>• Investigate authentication, access, and integration issues across enterprise applications and resolve them with sound technical judgment.<br>• Produce reports, system documentation, and operational records to support audits, service management, and ongoing platform improvement.<br>• Contribute to cloud transformation and modernization efforts by recommending practical enhancements for resilience, scalability, and governance.
We are looking for a Data Analyst to join a healthcare organization in Morristown, New Jersey. This Long-term Contract position will focus on shaping scalable data structures that support analytics, reporting, and enterprise data initiatives. The role works closely with technical and business teams to turn complex information needs into well-organized, high-performing data solutions. This opportunity is ideal for someone who is detail oriented, brings strong data modeling expertise, and can contribute in a regulated environment.<br><br>Responsibilities:<br>• Create and refine conceptual, logical, and physical data models across relational, dimensional, and non-relational platforms.<br>• Produce and maintain entity relationship diagrams, data flow artifacts, and supporting documentation that align with organizational standards.<br>• Work alongside engineers, architects, and analysts to ensure data designs enable reliable ingestion, transformation, and reporting processes.<br>• Convert business needs into efficient database structures that support performance, scalability, and long-term usability.<br>• Review model designs for consistency and quality while promoting sound modeling practices across the team.<br>• Maintain metadata, business definitions, lineage details, and data dictionaries to improve transparency and governance.<br>• Support warehouse and mart design by developing schemas suited for analytics and downstream reporting needs.<br>• Investigate and address issues related to data integrity, duplication, and quality through thoughtful structural design.<br>• Contribute to governance and cataloging efforts that improve standardization and enterprise data management.<br>• Deliver modeling outputs within an Agile framework, partnering with teams through iterative sprint cycles.
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.
<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>
We are looking for a Desktop Support Analyst to provide reliable technical support for end users in New York, New York. This Long-term Contract position is ideal for someone who enjoys resolving workstation issues, maintaining stable desktop environments, and delivering responsive service in a fast-paced setting. The role focuses on hands-on support across Windows-based devices, user account administration, and hardware troubleshooting while helping keep daily operations running smoothly.<br><br>Responsibilities:<br>• Deliver day-to-day desktop support for workstations, laptops, and related peripherals, ensuring users receive timely resolution to technical issues.<br>• Diagnose and fix problems involving Windows 10 systems, desktop hardware, software applications, and connectivity affecting end-user productivity.<br>• Set up, configure, and deploy desktop and laptop equipment, including imaging devices and preparing systems for new or existing employees.<br>• Manage user access and account-related tasks within Active Directory, including password resets, permissions support, and basic account maintenance.<br>• Perform hardware replacement, upgrades, and troubleshooting for PCs and workstation components to maintain dependable performance.<br>• Document incidents, service requests, troubleshooting steps, and completed solutions to support consistent service delivery and knowledge sharing.<br>• Coordinate with internal IT teams or external vendors when issues require escalation, follow-up, or specialized technical support.
<p>We are seeking a highly skilled Data Engineer to design, build, and manage our data infrastructure. The ideal candidate is an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. This role ensures data accuracy, accessibility, and performance optimization to support business intelligence, analytics, and reporting initiatives.</p><p><br></p><p><strong><em><u>Key Responsibilities</u></em></strong></p><p><br></p><p><strong>Database Design & Management</strong></p><ul><li>Design, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.</li></ul><p><strong>Strategic SQL & Data Engineering</strong></p><ul><li>Develop advanced, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets and deliver actionable business insights.</li></ul><p><strong>Data Pipeline Automation & Orchestration</strong></p><ul><li>Build, automate, and orchestrate ETL/ELT workflows using SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.</li></ul><p><strong>Performance Optimization</strong></p><ul><li>Tune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.</li></ul><p><strong>Data Integrity & Security</strong></p><ul><li>Ensure data quality, consistency, and integrity across systems.</li><li>Implement data masking, encryption, and role-based access control (RBAC).</li></ul><p><strong>Documentation</strong></p><ul><li>Maintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.</li></ul>