<p><strong>Data Engineer</strong></p><p><strong>Location: <u>100% REMOTE BUT MUST BE ABLE TO INTERVIEW ONSITE IN PHILADELPHIA, PA</u></strong></p><p><strong>Duration: Through 12/31/2026, extensions likely</strong></p><p><br></p><p>This is a senior-level Data Engineer opportunity supporting enterprise modernization and cloud migration initiatives within a large-scale Agile environment. The role focuses on designing and building modern data pipelines, enhancing legacy data platforms, and developing scalable data assets that support analytics and reporting. The ideal candidate is a hands-on Data Engineer with deep expertise in Databricks, PySpark, Python, and AWS services, and experience working within cloud-based data ecosystems undergoing transformation.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and maintain scalable data engineering solutions using Databricks, Python, PySpark, and AWS.</li><li>Build, optimize, and support ETL processes and data pipelines for inventory, supply, and yield data initiatives.</li><li>Develop and maintain data assets that support enterprise analytics and Tableau reporting environments.</li><li>Support cloud migration and modernization efforts by transforming legacy data platforms into modern cloud-based solutions.</li><li>Enhance and maintain existing data engineering workflows while delivering new data pipeline capabilities.</li><li>Collaborate with cross-functional teams, including engineering, analytics, and business stakeholders, within an Agile Release Train (ART) environment.</li><li>Contribute to reducing technical debt through modernization of legacy data systems.</li><li>Implement scalable and reliable data processing solutions leveraging AWS services and cloud-native technologies.</li></ul><p><br></p>
We are looking for a Data Analyst to support data-driven decision-making for healthcare operations in Philadelphia, Pennsylvania. This is a Contract position focused on transforming complex clinical and operational data into accurate, actionable insights across EHR and billing environments. The ideal candidate will work with modern cloud and database tools to improve reporting, data integrity, and integration processes in a healthcare setting.<br><br>Responsibilities:<br>• Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement.<br>• Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms.<br>• Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions.<br>• Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks.<br>• Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting.<br>• Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions.<br>• Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies.<br>• Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards.<br>• Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows.
We are looking for an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.
We are looking for an experienced DevOps Engineer to support a high-impact legal technology initiative within the real estate and property industry in Fort Washington, Pennsylvania. This Long-term Contract position is ideal for someone who can strengthen and refine deployment practices in a complex, code-driven environment while balancing speed, stability, and security. The role requires a hands-on, detail-oriented individual who can improve release processes, support scalable delivery, and apply strong judgment when working with sensitive legal data.<br><br>Responsibilities:<br>• Lead the review, redesign, and optimization of existing DevOps workflows to improve reliability, efficiency, and release quality.<br>• Manage deployment activities for a growing greenfield environment, including planning and executing rollback strategies as user adoption expands.<br>• Oversee release coordination and delivery practices to ensure controlled, consistent movement of code across environments.<br>• Administer and enhance DevOps operations within a Copado governance framework focused on legal business systems.<br>• Partner with development teams to support code-intensive builds and align DevOps practices with application delivery needs.<br>• Contribute expertise in MuleSoft-related development environments to support integration-aware deployment and release planning.<br>• Apply strong security principles to protect sensitive legal information throughout build, deployment, and release processes.<br>• Use tools such as Azure DevOps, Salesforce DevOps, and Copado to strengthen automation, governance, and deployment execution.
We are looking for a skilled Oracle FDI - Data Reporting Analyst to join a Long-term Contract opportunity in Reading, Pennsylvania. In this role, you will create and improve reporting solutions that help teams understand workforce performance, operational activity, and broader business trends. You will work closely with both business partners and technical teams to turn data needs into practical dashboards, reports, and insights that support informed decision-making.<br><br>Responsibilities:<br>• Design, build, and refine dashboards, recurring reports, and visual analytics that support enterprise reporting objectives.<br>• Use Oracle Fusion Data Intelligence to gather, interpret, and present workforce and business data in a meaningful way.<br>• Collaborate with Workforce Technology leaders and cross-functional stakeholders to define reporting needs and deliver useful data solutions.<br>• Perform data preparation activities such as validation, transformation, and modeling to improve the reliability of reporting outputs.<br>• Connect and organize data from multiple sources to support scalable analytics across reporting environments.<br>• Analyze patterns and reporting results to highlight trends, strengthen data quality, and support business decisions.<br>• Maintain and enhance existing reporting assets to ensure they remain accurate, relevant, and aligned with organizational priorities.
We are looking for an experienced Sr. Business Intelligence Architect to shape and advance enterprise reporting and analytics capabilities for a higher education environment in Philadelphia, Pennsylvania. This role will guide the design of secure, scalable data solutions, partner closely with technical and business stakeholders, and help establish strong standards for business intelligence delivery. The ideal candidate brings deep expertise in Microsoft BI technologies, a strategic mindset for architecture, and a proven background leading business intelligence excellence across an organization.<br><br>Responsibilities:<br>• Architect enterprise-scale BI and analytics solutions using Microsoft Fabric technologies, including OneLake, Data Factory, Synapse, and Power BI.<br>• Build, refine, and support data models, ingestion workflows, and semantic structures that enable reliable analysis and reporting.<br>• Direct major data platform enhancement efforts, including initiatives involving modernization and migration to Microsoft Fabric.<br>• Work closely with analysts, engineers, and business partners to convert reporting goals into practical data architecture designs.<br>• Establish governance, design standards, and best practices to improve the quality, security, and scalability of BI solutions.<br>• Lead and mentor business intelligence teams or center-of-excellence functions to strengthen delivery consistency and technical capability.<br>• Develop reporting frameworks and dashboard strategies that provide stakeholders with clear, actionable insights.<br>• Evaluate existing BI environments and recommend architectural improvements that increase performance and long-term maintainability.