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13 results for Medical Data Entry in Princeton, NJ
- Somerset, NJ
- onsite
- Temporary / Contract
- 15.17 - 16 USD / Hourly
- <p>We are seeking a detail-oriented Data Entry Clerk to support daily package intake operations in Somerset, New Jersey. </p><p>This long-term contract position is fully on-site and focuses on accurately recording shipment information for incoming items to ensure they can be tracked and processed efficiently. The ideal candidate is comfortable working in a fast-paced environment, has strong typing skills, and can maintain a high level of accuracy while handling repetitive tasks.</p><p><br></p><p>Responsibilities:</p><p>• Enter serial numbers, shipment details, and recipient information from incoming package labels into internal systems with a high level of accuracy.</p><p>• Review packaging information carefully to confirm all required data is captured and recorded correctly upon receipt.</p><p>• Log incoming hearing aid shipments promptly so processing teams can verify delivery and continue workflow without delays.</p><p>• Compare label details against system entries to identify and correct errors before records are finalized.</p><p>• Organize and manage a steady volume of packages while maintaining consistent productivity throughout the shift.</p><p>• Communicate clearly with team members regarding incomplete, unclear, or mismatched shipment information that requires follow-up.</p><p>• Follow established on-site procedures and data handling standards to support reliable package tracking and documentation.</p>
- 2026-10-20T00:00:00Z
- Union, NJ
- onsite
- Temporary to Hire
- 22.8 - 26.4 USD / Hourly
- <p>We are looking for a Medical Receptionist to support a busy healthcare office in Union, New Jersey. This contract opportunity with potential for a permanent role is ideal for someone who enjoys creating a welcoming patient experience while keeping front desk operations organized and efficient. The person in this role will serve as a key point of contact for patients, manage appointment flow, and help maintain accurate administrative and clinical records.</p><p><br></p><p>Responsibilities:</p><p>• Greet patients and visitors warmly, provide guidance upon arrival, and ensure they are directed to the appropriate area or staff member.</p><p>• Coordinate appointment calendars by booking new visits, adjusting existing schedules, and confirming upcoming patient appointments.</p><p>• Help patients complete intake paperwork, verify required information, and support an efficient registration process.</p><p>• Receive copayments and assist with answering routine questions related to office payment procedures.</p><p>• Enter and update patient information accurately in the electronic medical record system to support smooth daily operations.</p><p>• Respond to phone calls and front desk inquiries, escalating messages or service requests to the correct team when necessary.</p><p>• Carry out administrative support tasks such as scanning documents, filing records, and completing data entry with attention to detail.</p><p>• Contribute to the overall workflow of the office by assisting with day-to-day front desk coverage and other assigned operational duties.</p><p><br></p><p><br></p>
- 2026-11-11T00:00:00Z
- Princeton, NJ
- onsite
- Temporary / Contract
- 18 - 21 USD / Hourly
- We are looking for a Medical Receptionist to support daily front desk operations for a healthcare office in New Jersey. This long-term contract position is ideal for someone who creates a welcoming patient experience while managing appointments, records, and insurance-related administrative tasks. The role requires strong communication, attention to detail, and the ability to keep the office running smoothly in a fast-paced medical setting.<br><br>Responsibilities:<br>• Welcome patients and visitors with a courteous, detail-oriented approach and provide front desk assistance throughout the day.<br>• Answer incoming calls, route messages or transfers to the appropriate staff members, and respond to routine inquiries clearly and efficiently.<br>• Coordinate patient appointments based on office instructions and communicate any forms or documents needed before visits.<br>• Confirm demographic and insurance details, update patient records, and ensure files remain accurate and organized.<br>• Prepare charts, documentation, and other materials ahead of scheduled appointments to support efficient patient flow.<br>• Gather insurance information and required paperwork for billing purposes and follow up when additional details are needed.<br>• Receive patient payments, post transactions accurately, and help arrange payment plans when appropriate.<br>• Maintain financial logs and other front office records with a high level of accuracy and confidentiality.<br>• Monitor inventory levels for office supplies and place orders to keep the reception area and administrative functions fully supported.<br>• Assist with additional administrative or front office duties as needed to support daily clinic operations.
- 2026-11-10T00:00:00Z
- New York, NY
- onsite
- Temporary / Contract
- 35.15 - 40.7 USD / Hourly
- We are looking for a Data Analyst to join a FinTech organization in New York, New York. This Long-term Contract position is ideal for someone who enjoys translating complex commercial and sales data into practical recommendations that support pricing, forecasting, and business decisions. In this role, you will work across teams to strengthen reporting accuracy, develop analytical models, and present insights that help guide deal strategy and revenue outcomes.<br><br>Responsibilities:<br>• Build and refine analytical models and reusable templates to evaluate new business opportunities as well as converted accounts.<br>• Perform margin-focused assessments on proposed deals to support pricing decisions and overall commercial strategy.<br>• Create clear presentation materials that summarize commercial proposals, financial considerations, and key business insights.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, risks, and recommendations for stakeholders.<br>• Audit and validate Salesforce data to improve consistency, completeness, and reporting reliability.<br>• Maintain accurate weekly tracking reports and ensure leadership has timely visibility into performance metrics and pipeline activity.<br>• Analyze sales and pricing data to uncover trends, compare scenario outcomes, and support revenue forecasting.<br>• Partner with cross-functional teams including Sales and Finance to align analysis with business objectives and customer needs.
- 2026-11-11T00:00:00Z
- 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.<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.
- 2026-11-10T00:00:00Z
- New York, NY
- onsite
- Temporary / Contract
- 33 - 37 USD / Hourly
- We are looking for a Data Analyst to join a FinTech organization on a long-term contract assignment. This role focuses on transforming commercial and sales data into meaningful analysis that supports pricing decisions, revenue planning, and opportunity evaluation. The successful candidate will work closely with cross-functional partners to develop clear reporting, validate critical business data, and deliver insights that strengthen decision-making across the business.<br><br>Responsibilities:<br>• Create analytical models and decision-support templates to assess new business and converted opportunities.<br>• Evaluate deal economics by examining margins, pricing structures, and overall commercial viability.<br>• Develop effective presentation materials that summarize commercial proposals and support stakeholder discussions.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, and recommendation points.<br>• Audit and maintain Salesforce data to improve accuracy, consistency, and reporting reliability.<br>• Keep weekly tracking reports current by monitoring key metrics, updating performance data, and highlighting notable changes.<br>• Analyze sales and pricing information to uncover trends, identify opportunities, and support more competitive market decisions.
- 2026-11-11T00:00:00Z
- Saddle Brook, NJ
- onsite
- Temporary to Hire
- 75 - 75 USD / Hourly
- <p>We are looking for a Data Engineer to join a Chemicals Manufacturing organization in New Jersey in a contract-to-permanent capacity. This role focuses on creating reliable, secure, and scalable data solutions that connect operational and business systems to enterprise reporting, analytics, and advanced data use cases. The position will work across IT and operational environments to support trusted data delivery for functions such as finance, supply chain, operations, commercial teams, and corporate analytics.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain large-scale data pipelines that move information from enterprise and operational source systems into structured data layers for analytics and reporting.</p><p>• Develop curated and semantic data models that support business intelligence platforms, downstream applications, and data-driven decision-making across the organization.</p><p>• Connect manufacturing and operational technology data sources using approved integration methods while coordinating with plant and controls teams to protect system reliability and safety.</p><p>• Establish data quality standards through validation rules, automated testing, and monitoring processes that improve accuracy, completeness, and timeliness of delivered datasets.</p><p>• Implement observability practices such as lineage tracking, alerting, and operational runbooks to strengthen support processes and reduce production issues.</p><p>• Apply security and governance controls including access management, secrets handling, data classification, and retention practices aligned with enterprise policies.</p><p>• Automate deployment workflows with Git-based CI/CD processes to promote consistent releases across environments and improve delivery reliability.</p><p>• Tune platform performance and resource usage by optimizing processing strategies, scaling approaches, and storage patterns to balance speed and cost.</p><p>• Partner with BI, data, and IT stakeholders to define data contracts, document solutions, and provide operational knowledge transfer to internal teams and external partners.</p><p><br></p><p><br></p><p>02710-0013476075</p><p><br></p>
- 2026-10-22T00:00:00Z
- Philadelphia, PA
- remote
- Temporary / Contract
- 0 - 0 USD / Yearly
- We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Philadelphia, Pennsylvania. This Long-term Contract position focuses on building reliable pipelines and delivering high-quality data for healthcare and regulatory reporting needs. The ideal candidate brings strong experience with Azure-based data engineering, Python, SQL, and large-scale data processing, with the ability to work across complex clinical and patient-quality datasets.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines that ingest, transform, and deliver data from clinical and operational sources for analytics and reporting.<br>• Develop data engineering solutions using Azure services, Databricks, Spark, and Python to improve performance, reliability, and maintainability.<br>• Work with healthcare-related datasets, including patient quality measures, readmissions, vital sign information, and other clinical reporting domains.<br>• Explore and interpret Epic Clarity tables to identify relevant source data and support accurate downstream consumption.<br>• Build and optimize ETL workflows that move data across platforms while preserving data integrity and compliance expectations.<br>• Partner with analysts, reporting teams, and external stakeholders to provide data needed for quality metrics and regulatory submissions.<br>• Implement data validation and monitoring processes to ensure completeness, consistency, and accuracy across critical datasets.<br>• Support file-based data exchange and integration processes, including secure FTP-based transfers where required.
- 2026-11-10T00:00:00Z
- Bridgewater, NJ
- onsite
- Temporary / Contract
- 39.5865 - 45.837 USD / Hourly
- We are looking for a Data Engineer to support healthcare-focused data initiatives in Bridgewater, New Jersey. This Long-term Contract position is ideal for someone who enjoys building reliable data pipelines, working with large-scale datasets, and improving the flow of information across technical environments. The role will contribute to scalable data solutions that help teams access, process, and analyze critical business data efficiently.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines to collect, transform, and deliver data from multiple sources.<br>• Develop ETL workflows that improve data quality, consistency, and availability for reporting and analytics needs.<br>• Use Python and Apache Spark to process high-volume datasets and optimize performance across data engineering tasks.<br>• Work with Hadoop-based environments to manage distributed data processing and storage effectively.<br>• Integrate streaming and batch data using Apache Kafka to support timely and dependable data movement.<br>• Partner with analysts, developers, and business stakeholders to translate data needs into practical engineering solutions.<br>• Monitor pipeline health, troubleshoot processing issues, and implement improvements that increase reliability and efficiency.
- 2026-10-29T00:00:00Z
- 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.<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.
- 2026-11-03T00:00:00Z
- 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.<br><br>Responsibilities:<br>• Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting.<br>• Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products.<br>• Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement.<br>• Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets.<br>• Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs.<br>• Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques.<br>• Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed.<br>• Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
- 2026-11-12T00:00:00Z
- Philadelphia, PA
- remote
- Temporary / Contract
- 0 - 0 USD / Yearly
- We are looking for a Data Engineer to support healthcare data initiatives for ambulatory operations in Philadelphia, Pennsylvania. This Long-term Contract position will focus on designing and maintaining scalable data pipelines, improving data accessibility, and enabling reliable reporting across clinical and operational environments. The role suits someone who communicates effectively, works well with cross-functional teams, and brings strong experience with modern cloud data platforms and healthcare data systems.<br><br>Responsibilities:<br>• Build and optimize end-to-end data pipelines using Databricks, Snowflake, Azure, and related cloud technologies to support ambulatory operational data needs.<br>• Develop ETL and ELT workflows that ingest, transform, and validate data from healthcare platforms, including Epic Ambulatory and other enterprise sources.<br>• Collaborate with analysts, operational stakeholders, and technical teams to translate business needs into dependable data solutions and well-structured datasets.<br>• Create and maintain data integrations using tools such as Azure Data Factory, Azure Data Lake, Apache Spark, Kafka, Hadoop, and AWS Glue where appropriate.<br>• Ensure data quality, consistency, and performance by monitoring pipeline execution, troubleshooting issues, and implementing scalable engineering practices.<br>• Support the development of a core data engineering function for the team by establishing reusable frameworks, standards, and documentation.<br>• Partner with healthcare and hospital-based stakeholders to deliver data assets that improve operational visibility and decision-making.<br>• Contribute to architecture discussions, code reviews, and process improvements while communicating clearly with both technical and non-technical audiences.
- 2026-11-12T00:00:00Z
- 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.<br><br>Responsibilities:<br>• Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products.<br>• Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use.<br>• Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery.<br>• Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic.<br>• Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions.<br>• Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation.<br>• Support integrations across HRIS and related platforms, including contributing to interface development where needed.<br>• Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
- 2026-11-12T00:00:00Z