Results for Medical Data Entry Jobs in Philadelphia, PA

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Data Entry Clerk

Allentown, PA
onsite
Temporary / Contract
20 - 22 USD / Hourly
Robert Half is seeking a detail-oriented and dependable Data Entry Clerk 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. Key Responsibilities:<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>
2026-10-02T00:00:00Z

Job Information MDM Data Quality & Cleansing Specialist I...

Wayne, PA
onsite
Temporary / Contract
0 - 0 USD / Yearly
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. Responsibilities: • Investigate records flagged after matching and merging activities, determine the source of discrepancies, and complete corrective actions based on approved business guidelines. • Carry out data quality improvement work across assigned domains by standardizing values, removing duplicates, correcting formats, and confirming attribute accuracy. • Review resolved record outcomes to confirm that survivorship decisions and entity results align with stewardship expectations and data policies. • Analyze recurring data issues to identify patterns, document root causes, and support preventive improvements to data quality processes. • Execute authorized mass updates and record corrections while following established controls, validation steps, and change procedures. • Track exception queues, dashboards, and quality reports to help prioritize remediation efforts and maintain visibility into ongoing issues. • Partner with data governance teams, stewards, business contacts, and operations staff to resolve issues that require functional input or clarification. • Maintain complete documentation of remediation actions, decisions, and supporting evidence to satisfy governance, compliance, and audit requirements.
2026-10-12T00:00:00Z

Medical Billing Specialist

Philadelphia, PA
onsite
Temporary / Contract
0 - 0 USD / Yearly
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. Responsibilities: • Process and submit medical claims for multiple payer categories, ensuring each submission is complete, accurate, and aligned with insurance guidelines. • Investigate unpaid, delayed, or denied claims and work with payer representatives to drive resolution and secure payment. • Review billing records for errors or inconsistencies, make necessary corrections, and promptly refile claims when needed. • Monitor payer-specific rules, reimbursement terms, coding standards, and applicable billing regulations to maintain compliance. • Coordinate with internal teams such as coding, registration, and clinical staff to gather information needed for clean claim processing. • Respond to insurance requests and provide supporting documentation to address claim questions or outstanding issues. • Record account activity, update claim status notes, post remittance details, and reconcile payer and patient balances. • Contribute to denial review efforts and support audit-related activities by maintaining thorough and accurate billing documentation.
2026-09-25T00:00:00Z

Medical Scheduler

New Brunswick, NJ
onsite
Temporary / Contract
22.8 - 26.4 USD / Hourly
We are looking for a detail-oriented Medical Scheduler to support outpatient behavioral health operations. This Long-term Contract position is fully onsite and plays a key role in coordinating appointments, assisting patients, and ensuring administrative processes run smoothly. The person in this role will serve as an important connection point between patients, clinical staff, and office operations while maintaining accuracy, discretion, and a detail-oriented approach. Responsibilities:• Coordinate patient appointments with accuracy and professionalism while helping maintain efficient daily clinic flow.• Review scheduling documents, service records, and related materials to confirm completeness and resolve discrepancies promptly.• Enter, update, and correct appointment and patient-related information within electronic scheduling systems and department records.• Monitor upcoming calendars for conflicts, inconsistencies, or missing details and communicate issues to the appropriate staff members.• Prepare, print, and share daily schedules and supporting materials with clinicians and team members as needed.• Assist with patient communication by answering calls, routing inquiries appropriately, and providing scheduling support in a courteous manner.• Maintain organized files, logs, reports, and databases to support department operations and accurate recordkeeping.• Provide general administrative support such as preparing correspondence, filing documents, photocopying, and distributing office materials.• Support intake, transfer, or access-related coordination duties as assigned and help distribute initial patient paperwork to the care team.• Uphold confidentiality standards and complete required training, health, and compliance activities for the department
2026-10-16T00:00:00Z

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. 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

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. 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

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. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • 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

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to join a Contract engagement supporting people analytics and HR-focused data initiatives in Philadelphia, Pennsylvania. This role is centered on designing, building, and refining scalable data pipelines and curated data assets using Azure Databricks and Azure Data Factory. The ideal candidate will be comfortable working hands-on with complex source data, translating business needs into reliable transformations, and delivering production-ready solutions with minimal oversight. Responsibilities: • Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products. • Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use. • Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery. • Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic. • Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions. • Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation. • Support integrations across HRIS and related platforms, including contributing to interface development where needed. • Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
2026-10-15T00:00:00Z

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions. Responsibilities: • Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting. • Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products. • Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement. • Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets. • Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs. • Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques. • Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed. • Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
2026-10-16T00:00:00Z

9 results for Medical Data Entry in Philadelphia, PA