<p>We are looking for a Systems Administrator to support and enhance a modern end-user computing environment. This position focuses on maintaining core administration tools, securing Microsoft 365 services, and delivering reliable support for Windows and mobile devices. The role is ideal for someone who combines strong systems administration experience with a practical approach to automation, endpoint management, and emerging AI-driven technologies.</p><p><br></p><p>Responsibilities:</p><p>• Administer service desk and ticket management platforms to ensure timely issue tracking, resolution, and user communication.</p><p>• Manage remote monitoring, endpoint administration, and security tools, with preference for experience supporting NinjaOne and comparable platforms.</p><p>• Oversee Microsoft 365 technologies, including Entra ID, Conditional Access, Intune, Autopilot, and configuration policy deployment.</p><p>• Support and maintain Windows endpoints as well as iOS and Android mobile devices across the organization.</p><p>• Configure and troubleshoot identity, access, and device compliance settings to strengthen security and user productivity.</p><p>• Develop and improve automation workflows using Python and Microsoft Power Platform tools such as Power Automate.</p><p>• Evaluate and apply modern AI and agent-based solutions, including large language model tools, to streamline support and administrative tasks.</p><p>• Collaborate with internal teams to implement operational improvements and support changes involving administrative platforms or technical proces</p>
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.
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.
<p>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!</p><p><br></p><p>Responsibilities:</p><p>• Examine records to identify duplicate entries, inconsistencies, and data quality issues.</p><p>• Use Excel formulas and analytical techniques to organize, validate, and reconcile large sets of information.</p><p>• Investigate irregular payment patterns and summarize findings for internal stakeholders.</p><p>• Clean and update datasets to improve accuracy, consistency, and reporting reliability.</p><p>• Maintain clear documentation of data issues, corrective actions, and recurring trends.</p><p><br></p>
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.
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.
<p>Robert Half is seeking a Billing Administrator to oversee legal and insurance-related billing operations for our client's team. This Billing Administrator position is ideal for someone who can manage invoice activity with precision, navigate electronic billing platforms confidently, and partner effectively with internal stakeholders to keep accounts moving smoothly. The role requires strong follow-through, sound judgment, and a detailed approach to resolving billing issues while supporting accurate and timely revenue processes.</p><p><br></p><p>Responsibilities:</p><ul><li>Oversee the complete billing cycle, from invoice preparation through final submission, with a focus on accuracy and timeliness.</li><li>Submit and track invoices through client e-billing portals, ensuring documentation is entered correctly and processed without unnecessary delays.</li><li>Manage insurance appeal activity by responding to denials, addressing disputed charges, and following through until resolution.</li><li>Audit billing entries and supporting data to identify inconsistencies, then work with attorneys and internal partners to correct issues.</li><li>Monitor invoice progress, payment updates, and aged balances to help maintain healthy receivables.</li><li>Apply client-specific billing rules and legal invoicing standards to reduce rejections and maintain compliance.</li><li>Keep organized billing records and generate reports that support visibility into billing performance and account status.</li><li>Partner with cross-functional teams to streamline billing workflows and improve collection outcomes.</li></ul>
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.<br><br>Responsibilities:<br>• Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting.<br>• Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders.<br>• Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format.<br>• Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows.<br>• Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources.<br>• Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences.<br>• Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices.<br>• Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed.<br>• Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
<p>We are looking for an Accounting Administrator to support expense-related accounting activities and day-to-day administrative operations for a team based in, New Jersey. This Long-term Contract position is ideal for a highly organized, detail-oriented individual who can manage financial tasks with accuracy, communicate effectively with internal teams, and stay productive in a largely remote work environment. The role partners with accounting, project, field, and design personnel to help maintain smooth processes, timely expense handling, and dependable operational support.</p><p><br></p><p>Responsibilities:</p><p>• Oversee the company credit card program, including routine administration, transaction review, and policy adherence.</p><p>• Verify supporting documentation and approvals before entering payments and expense activity into the accounting system.</p><p>• Reconcile corporate card accounts each month and ensure balances, receipts, and records are accurate and complete.</p><p>• Research transaction issues, missing documentation, and reporting inconsistencies, then resolve them in a timely manner.</p><p>• Review and process employee reimbursement requests according to internal guidelines and established deadlines.</p><p>• Monitor and respond to expense-related inquiries submitted through the internal ticketing platform.</p><p>• Handle recurring administrative duties such as managing mail distribution, organizing records, scanning documents, and maintaining files.</p><p>• Assist accounting and cross-functional teams with special assignments and operational tasks as business needs arise.</p>
<p>benefits:</p><ul><li>M/D/V</li><li>PTO</li><li>401k Match </li></ul><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Process weekly, bi-weekly, and semi-monthly payroll accurately and on time.</li><li>Maintain employee payroll records and update payroll information as needed.</li><li>Review timesheets, earnings, deductions, garnishments, and benefits for accuracy.</li><li>Ensure compliance with federal, state, and local payroll regulations.</li><li>Process new hires, terminations, and employee status changes.</li><li>Reconcile payroll reports and resolve discrepancies.</li></ul><p><br></p>
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.