<p>Robert Half is seeking a detail-oriented and dependable <strong>Data Entry Clerk</strong> to join a local and growing team. In this role, you will be responsible for accurately entering, updating, and maintaining information in company databases and systems. The ideal candidate is organized, efficient, and committed to maintaining a high level of accuracy in a fast-paced environment.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Enter, update, and verify data in internal systems and databases.</li><li>Review source documents for accuracy and completeness.</li><li>Identify and correct data entry errors promptly.</li><li>Maintain confidentiality of sensitive information.</li><li>Organize and file digital and paper records as needed.</li><li>Generate routine reports and assist with administrative tasks.</li><li>Communicate with team members to resolve discrepancies in data.</li></ul><p><br></p>
<p>We are looking for a detail-oriented <strong>Data Entry Clerk/Order Fulfilment Clerk </strong>to join a growing team in Pennsylvania. This fully onsite role focuses on supporting order fulfillment activities through accurate data entry and consistent administrative support. It is a contract opportunity with the potential for a permanent position, offering a steady Monday through Friday schedule and the chance to contribute to a fast-paced operational environment.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Enter and update order information in company systems with a high level of speed and accuracy.</p><p>• Review incoming documentation for completeness and correct errors before processing records.</p><p>• Support order fulfillment activities by maintaining organized and up-to-date data files.</p><p>• Verify numeric and text-based information to ensure records are accurate and consistent.</p><p>• Coordinate with internal team members to resolve data discrepancies and missing details.</p><p>• Monitor daily entry volumes and prioritize tasks to meet deadlines in a busy onsite setting.</p><p>• Maintain orderly electronic records and follow established procedures for document handling.</p>
We are looking for a detail-oriented individual to support master data quality efforts within a manufacturing environment. This long-term contract position focuses on improving the reliability, consistency, and completeness of enterprise master data by investigating exceptions, correcting records, and applying established governance standards. The ideal candidate will work closely with data stewards, business stakeholders, and operations teams to resolve issues efficiently while maintaining strong documentation and audit readiness.<br><br>Responsibilities:<br>• Investigate records flagged after matching and merging activities, determine the source of discrepancies, and complete corrective actions based on approved business guidelines.<br>• Carry out data quality improvement work across assigned domains by standardizing values, removing duplicates, correcting formats, and confirming attribute accuracy.<br>• Review resolved record outcomes to confirm that survivorship decisions and entity results align with stewardship expectations and data policies.<br>• Analyze recurring data issues to identify patterns, document root causes, and support preventive improvements to data quality processes.<br>• Execute authorized mass updates and record corrections while following established controls, validation steps, and change procedures.<br>• Track exception queues, dashboards, and quality reports to help prioritize remediation efforts and maintain visibility into ongoing issues.<br>• Partner with data governance teams, stewards, business contacts, and operations staff to resolve issues that require functional input or clarification.<br>• Maintain complete documentation of remediation actions, decisions, and supporting evidence to satisfy governance, compliance, and audit requirements.
We are looking for a Medical Billing Specialist to support revenue cycle operations for a healthcare setting in Philadelphia, Pennsylvania. This Contract position focuses on accurate claim handling, payer follow-up, and timely reimbursement across multiple insurance types, including Keystone, auto, workers’ compensation, and commercial plans. The ideal candidate brings strong billing knowledge, sharp attention to detail, and the ability to manage claim activity efficiently in a fast-paced environment.<br><br>Responsibilities:<br>• Process and submit medical claims for multiple payer categories, ensuring each submission is complete, accurate, and aligned with insurance guidelines.<br>• Investigate unpaid, delayed, or denied claims and work with payer representatives to drive resolution and secure payment.<br>• Review billing records for errors or inconsistencies, make necessary corrections, and promptly refile claims when needed.<br>• Monitor payer-specific rules, reimbursement terms, coding standards, and applicable billing regulations to maintain compliance.<br>• Coordinate with internal teams such as coding, registration, and clinical staff to gather information needed for clean claim processing.<br>• Respond to insurance requests and provide supporting documentation to address claim questions or outstanding issues.<br>• Record account activity, update claim status notes, post remittance details, and reconcile payer and patient balances.<br>• Contribute to denial review efforts and support audit-related activities by maintaining thorough and accurate billing documentation.
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.