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6 results for Medical Data Entry in Allentown, PA
- Berwyn, PA
- onsite
- Temporary / Contract
- 21 - 23 USD / Hourly
- <p>We are looking for a detail-oriented Data Entry Clerk to support an organization on a short-term contract assignment in Berwyn, Pennsylvania. This fully onsite opportunity is ideal for someone who works accurately, stays organized, and is comfortable handling high-volume administrative data tasks during standard business hours. The role will focus on entering financial and claims-related information into company records while helping maintain accurate worksheet-based documentation.</p><p><br></p><p>Responsibilities:</p><p>• Enter check, refund, and insurance claim information into company records with a high level of accuracy</p><p>• Review worksheet-based refund details and transfer information into the appropriate data fields</p><p>• Verify numeric entries carefully to reduce errors and maintain reliable documentation</p><p>• Organize incoming information and update records in a timely manner to support daily operations</p><p>• Use Microsoft Excel to manage, review, and enter structured data efficiently</p><p>• Follow established data handling procedures while working with sensitive insurance-related information</p>
- 2026-10-28T00:00:00Z
- Quakertown, PA
- onsite
- Temporary to Hire
- 19 - 22 USD / Hourly
- <p>Robert Half is looking for a detail-oriented Data Entry Clerk to join our team. This is opportunity is for someone who takes pride in accuracy, organization, and consistent follow-through. The person in this role will support daily data processing activities, help maintain reliable records, and contribute to smooth administrative operations.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Enter and update information in databases, spreadsheets, and related records with a high level of accuracy.</li><li>Verify submitted information for completeness and correct errors or inconsistencies before finalizing entries.</li><li>Protect confidential business and customer data by handling all records with discretion and care.</li><li>Review stored information through routine checks and assist with reports that support data quality and record accuracy.</li><li>Work closely with colleagues to ensure data is processed on schedule and in alignment with team priorities.</li><li>Organize digital and related documentation according to established procedures for recordkeeping and data management.</li></ul>
- 2026-10-27T00:00:00Z
- 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
- 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.<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.
- 2026-10-08T00:00:00Z
- 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.
- 2026-10-16T00:00:00Z
- 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.
- 2026-10-15T00:00:00Z