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 Modeler to support a healthcare organization in Morristown, New Jersey through a contract opportunity with the potential for a permanent role. In this role, you will shape enterprise data structures that enable reliable integration, analytics, and reporting across complex data environments. This position is ideal for someone who can translate business needs into scalable models while partnering closely with engineering, architecture, and analytics teams.<br><br>Responsibilities:<br>• Create and refine conceptual, logical, and physical data structures for relational databases, dimensional warehouses, and NoSQL platforms.<br>• Produce and update entity relationship diagrams, data movement documentation, and related artifacts that align with enterprise data practices.<br>• Work alongside data engineers and solution architects to ensure models support efficient data ingestion, transformation, and downstream reporting needs.<br>• Convert business objectives and functional use cases into well-structured database designs that promote performance, flexibility, and long-term growth.<br>• Lead model evaluations, uphold data modeling standards, and offer mentorship and technical direction to less experienced team members.<br>• Maintain data dictionaries, metadata records, and lineage documentation to improve transparency and usability across the data estate.<br>• Partner with analytics and reporting stakeholders to develop star and snowflake schema designs for warehouse and data mart solutions.<br>• Address data integrity concerns, duplication risks, and quality issues by applying disciplined modeling techniques and sound design principles.<br>• Contribute to governance efforts by supporting data standardization and cataloging activities across the organization.<br>• Participate in Agile delivery cycles, providing modeling deliverables and documentation in iterative sprint-based workstreams.
<p>We are looking for a Content Manager to support digital content operations for a manufacturing organization based in Parsippany, New Jersey. This Long-term Contract position will focus on maintaining accurate, engaging, and well-organized product content across multiple brand websites while partnering with cross-functional teams to deliver a strong customer experience. The ideal candidate brings hands-on expertise in content publishing platforms, digital asset coordination, and website quality assurance within a fast-paced environment.</p><p><br></p><p>Responsibilities:</p><p>• Oversee product onboarding and ongoing content maintenance across several brand websites, ensuring information, imagery, and supporting assets remain current and consistent.</p><p>• Create, edit, and publish web content using platforms such as Adobe Experience Manager, Shopify, and Klaviyo while applying user experience best practices.</p><p>• Coordinate with product, marketing, and global stakeholders to gather pricing, documents, creative assets, and other materials needed for accurate product launches.</p><p>• Lead assigned digital initiatives by tracking milestones, communicating status updates, addressing stakeholder questions, and keeping deliverables aligned with expectations.</p><p>• Monitor project risks and operational challenges, develop practical solutions, and take early action to prevent delays or quality issues.</p><p>• Execute quality checks for landing pages, promotional offers, site copy, and functional site elements to confirm content accuracy and site performance before and after publishing.</p><p>• Maintain an organized library of digital content and creative assets, and share newly available materials with internal teams to support ongoing campaigns and site updates.</p><p>• Investigate and resolve publishing or production problems by partnering with internal technical teams and external development resources to restore timely site operations.</p><p>• Work with cross-functional partners to translate business needs into clear digital requirements and implement content updates that support customer-facing goals.</p><p><br></p><p>02720-0013424624</p><p><br></p>
We are looking for an experienced Manager, Data Governance to lead enterprise data governance efforts for a higher education organization in Philadelphia, Pennsylvania. This role will shape the framework, policies, and operating model that improve data quality, accountability, and compliance across departments. The ideal candidate brings deep experience guiding governance programs in complex environments and can connect technical data issues to practical institutional impact.<br><br>Responsibilities:<br>• Create and maintain enterprise data governance standards, policy documentation, and operating procedures that support consistent data practices across the organization.<br>• Partner with data stewards and business stakeholders to roll out governance processes covering metadata, cataloging, data quality, privacy, and policy adoption.<br>• Work closely with technology teams to evaluate, implement, and optimize governance platforms and supporting data management tools.<br>• Review datasets and data definitions to detect quality concerns, resolve inconsistencies, and strengthen trust in institutional information.<br>• Build governance structures and decision-making forums that address cross-functional dependencies, escalate issues, and reinforce compliance expectations.<br>• Lead governance councils, working groups, and project teams to coordinate initiatives, assign ownership, and drive alignment on shared data priorities.<br>• Develop and execute short- and long-range data governance plans that support organizational goals and sustainable program maturity.<br>• Monitor adherence to governance policies and promote the accuracy, completeness, and consistency of data assets throughout the enterprise.
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.
We are looking for a Data Analyst to support reporting, visualization, and data-driven decision-making for a long-term contract opportunity in Brooklyn, New York. This position is ideal for someone who can translate complex information into clear insights while partnering with both business stakeholders and technical teams. The role will focus on analytics, reporting development, and data interpretation within an energy and natural resources environment, with opportunities to contribute to broader data integration and advanced analytics efforts.<br><br>Responsibilities:<br>• Build and maintain dashboards, reports, and visualizations that turn large datasets into meaningful business insights.<br>• Analyze operational and financial information to identify trends, exceptions, and performance patterns that support decision-making.<br>• Partner with cross-functional teams to gather reporting needs and convert business questions into effective analytical solutions.<br>• Work with structured data sources and databases to validate accuracy, improve accessibility, and support ongoing reporting processes.<br>• Contribute to data integration and architecture-related initiatives by helping connect information across systems and business functions.<br>• Support reporting tied to finance and accounting activities, including datasets related to general ledger processes.<br>• Use tools such as Power BI or Tableau to present findings in a clear, actionable format for stakeholders.<br>• Assist with exploratory analytics and emerging initiatives involving Python, AI-enabled analysis, or machine learning concepts when applicable.
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 a Data Scientist to join a fast-paced investment environment in New York, New York, where data-driven insight plays a central role in research and decision-making. This position will focus on turning complex datasets into practical analysis, scalable tools, and clear intelligence that support investment ideas. The ideal candidate brings strong technical depth, sound statistical judgment, and the ability to shape loosely defined questions into structured, repeatable research.<br><br>Responsibilities:<br>• Work closely with investment professionals to create quantitative studies, analytical frameworks, and practical tools that strengthen fundamental research workflows.<br>• Identify promising alternative data sources, assess their relevance and quality, and support their integration into the research process.<br>• Design and execute backtests, predictive models, and exploratory investigations to evaluate and refine investment hypotheses.<br>• Produce and maintain analyst-facing dashboards and reporting views within internal analytics environments.<br>• Convert one-off research requests into repeatable, clearly documented analyses that can be reused and scaled over time.<br>• Partner with engineering teams to define data needs, support ingestion processes, and improve dataset availability for research use.
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul><p><br></p>
<p>We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.</p><p>• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.</p><p>• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.</p><p>• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.</p><p>• Automate reporting processes to improve accuracy and timeliness of operational data.</p><p>• Continuously enhance data integrity and streamline workflows to optimize logistics operations.</p><p>• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.</p><p>• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.</p><p>• Investigate and implement tools and techniques to improve overall business intelligence capabilities.</p>
<p>We are looking for a Network and Systems Administrator to support daily technical operations and lead targeted infrastructure projects for a real estate property and facilities management organization in Philadelphia, Pennsylvania. This is a Contract position focused on maintaining reliable network performance, assisting employees with hands-on and remote technical support, and strengthening the stability and security of core systems. The role combines end-user support, network administration, device lifecycle management, and process improvement in a fast-paced environment.</p><p><br></p><p>Responsibilities:</p><p>• Provide both on-site and remote technical assistance by diagnosing user issues, resolving hardware and software problems, and guiding employees through effective solutions.</p><p>• Manage and prioritize help desk activity by tracking requests, responding within established timeframes, and maintaining clear documentation of fixes and internal support procedures.</p><p>• Oversee day-to-day upkeep of office technology, including workstation updates, printer supply replacement, equipment repairs, and coordination with outside vendors when specialized support is required.</p><p>• Administer backup, voice, and connectivity systems by monitoring performance, adjusting user access, updating call routing features, and generating reports as needed.</p><p>• Support employee onboarding and offboarding by preparing devices, provisioning or removing access, maintaining system images, and ensuring technology assets are properly assigned or recovered.</p><p>• Maintain network infrastructure through router configuration, server permission management, structured cabling, equipment relocation, and setup or teardown of remote or satellite office environments.</p><p>• Monitor company devices and telecom usage to identify cost-saving opportunities, manage line changes, and keep inventory and equipment records accurate and current.</p><p>• Promote a secure computing environment by identifying vulnerabilities, recommending improvements to processes and systems, and educating staff on phishing awareness and other cyber risks.</p>