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.
We are looking for a Data Analyst to support a long-term contract engagement in Middletown, Delaware. This position is ideal for someone who combines strong technical integration expertise with a practical understanding of accounting-related systems, especially within QuickBooks desktop environments. The role will focus on assessing data flow, identifying efficient integration approaches, and helping business stakeholders turn operational needs into workable technical solutions.<br><br>Responsibilities:<br>• Evaluate existing systems and recommend effective integration approaches between QuickBooks desktop platforms and related business applications.<br>• Review DataForma capabilities and determine practical options for connecting, exchanging, or synchronizing information across systems.<br>• Analyze current data structures to support imports, exports, migration planning, and process automation opportunities.<br>• Work closely with business users to gather needs, clarify challenges, and translate operational goals into technical recommendations.<br>• Troubleshoot data movement issues and help define reliable methods for improving accuracy, consistency, and efficiency.<br>• Support project execution by documenting integration logic, data handling requirements, and solution considerations for stakeholders.<br>• Collaborate with onsite and remote teams to ensure proposed solutions align with system access constraints and project timelines.
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.
<p>We are looking for an experienced Lead Software Engineer to guide the design, enhancement, and support of warehouse management solutions. This role partners closely with operations, technology teams, and external partners to turn business goals into reliable system capabilities that improve warehouse performance. The ideal candidate brings deep Manhattan WMS expertise, strong technical leadership, and a practical understanding of supply chain processes in a production environment.</p><p><br></p><p>Responsibilities:</p><p>• Lead the architecture, configuration, and ongoing support of Manhattan WMS solutions across core warehouse functions.</p><p>• Translate operational needs into business, functional, and technical documentation that supports development and delivery efforts.</p><p>• Work closely with warehouse stakeholders to define system changes that align application capabilities with day-to-day business processes.</p><p>• Build, maintain, and troubleshoot integrations between WMS, transportation platforms, enterprise applications, and related downstream systems.</p><p>• Create and enhance reports, queries, and data outputs to address reporting needs and support business decision-making.</p><p>• Investigate production issues, coordinate resolution activities across teams, and participate in rotating on-call support for continuous operations.</p><p>• Support application upgrades, implementations, and testing activities, including validation planning and execution.</p><p>• Collaborate with project managers, developers, vendors, and cross-functional teams to prioritize work, define schedules, and deliver solutions.</p><p>• Mentor entry-level team members, share system knowledge, and provide training on new features, enhancements, and software updates.</p><p>• Review development practices and recommend improvements that strengthen software quality, efficiency, and long-term supportability.</p>
We are looking for an Automation Engineer to support engineering leadership and drive operational excellence in Trumbauersville, Pennsylvania. This position focuses on guiding cross-functional engineering efforts, strengthening manufacturing processes, and ensuring projects move forward with technical rigor and clear communication. The ideal candidate brings strong experience in automated manufacturing environments and can align engineering priorities with production, quality, and customer expectations.<br><br>Responsibilities:<br>• Guide and develop manufacturing engineering staff, process specialists, and technical team members across product and process initiatives from concept through implementation.<br>• Hold regular coaching discussions to support employee development, address technical roadblocks, and strengthen overall team performance.<br>• Act as the key connection between engineering and partner departments by clearly communicating technical capabilities, limitations, and project needs.<br>• Evaluate process flows, production methods, tooling concepts, machine programming, validation strategies, and system-level engineering plans to ensure quality and feasibility.<br>• Coordinate with operations, quality, supply chain, sales, and customers to align schedules, manage competing priorities, and maintain project momentum.<br>• Address team and cross-functional challenges with a balanced approach that supports collaboration, accountability, and timely execution.<br>• Foster a high-performance engineering culture by setting expectations, encouraging continuous improvement, and reinforcing ownership of results.<br>• Support automation and manufacturing initiatives that improve efficiency, consistency, and overall production capability.
We are looking for a Machine Learning Engineer I (Contractor) to join a team building and improving intelligent software solutions. This Long-term Contract position is well suited for someone who enjoys working across model development, data engineering, and production deployment in a hands-on engineering environment. The role offers the opportunity to support both current applications and early-stage concepts by combining technical execution with careful analysis, testing, and documentation.<br><br>Responsibilities:<br>• Build, improve, and verify machine learning algorithms that support product and application objectives.<br>• Create and maintain end-to-end data workflows that handle ingestion, quality checks, cleansing, and ongoing monitoring.<br>• Train machine learning models, measure performance against validation criteria, and release models that meet requirements into production environments.<br>• Contribute to prototype development and exploratory initiatives that help shape future technical solutions.<br>• Prepare and update technical materials such as evaluation plans, reports, presentations, white papers, test summaries, manuals, and Confluence documentation.<br>• Execute testing activities, analyze outcomes, and document findings through case studies and structured reporting.<br>• Partner with engineering and cross-functional teams to translate technical requirements into practical machine learning solutions.
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.