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2 results for Medical Data Entry in Washington, DC
- Bethesda, MD
- onsite
- Temporary / Contract
- 17.4135 - 20.163 USD / Hourly
- We are looking for a detail-oriented Sr. Data Entry Clerk to support submission processing activities within a fast-moving financial services environment in Bethesda, Maryland. This Long-term Contract position focuses on maintaining accurate records, coordinating communication with internal partners and external companies, and ensuring timely updates across key tracking systems. The ideal candidate brings strong organizational skills, sound judgment, and the ability to manage multiple priorities while keeping data quality and turnaround times at a high standard.<br><br>Responsibilities:<br>• Maintain precise records of where submissions are sent so tracking information remains current and reliable.<br>• Share decline and incomplete file notifications from partner companies with the appropriate business associates in a timely manner.<br>• Enter and update declined submissions in Salesforce Marble or other designated systems with a high level of accuracy.<br>• Log quote activity, including partner offers, into Salesforce Marble or any future platform used by the team.<br>• Review partner quote details, organize the information clearly, and distribute updates to business associates for follow-up.<br>• Collect stipulation requests from external partners and communicate those requirements to the appropriate internal contacts.<br>• Forward or upload supplemental documentation to partner companies to help move submissions through the process.<br>• Confirm status updates in Marble and related systems to support accurate pipeline visibility for business associates.
- 2026-10-30T00:00:00Z
- Arlington, VA
- onsite
- Permanent / Full Time
- 150000 - 170000 USD / Yearly
- We are looking for an experienced Data Engineer for a permanent opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up. <br> Responsibilities: • Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis. • Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization. • Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems. • Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets. • Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability. • Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions. • Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data. • Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.
- 2026-10-08T00:00:00Z