We are looking for an experienced Data/Information Architect to shape and advance a modern cloud-based data environment. This long-term contract opportunity is well suited for someone who can define scalable architecture, optimize data flow, and support enterprise reporting and analytics needs. The role centers on designing high-performing Snowflake solutions, establishing strong data models, and connecting information from multiple business platforms into a unified ecosystem.<br><br>Responsibilities:<br>• Define and evolve the overall architecture for a cloud data platform with a focus on scalability, reliability, and long-term performance.<br>• Create Snowflake-based solutions that support efficient data storage, transformation, and consumption for analytics and reporting.<br>• Develop logical and physical data models that improve consistency, usability, and governance across enterprise datasets.<br>• Integrate data from a range of internal business applications and external sources to build a connected and dependable information framework.<br>• Partner with technical and business stakeholders to translate reporting and analytical goals into practical architectural designs.<br>• Establish standards for data organization, documentation, and file management to support accuracy, accessibility, and compliance needs.<br>• Review existing data processes and recommend improvements that strengthen platform efficiency, quality, and maintainability.<br>• Provide architectural guidance on digital content and documentation-related data structures where they intersect with enterprise information systems.
We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments.<br><br>Responsibilities:<br>• Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms.<br>• Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability.<br>• Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance.<br>• Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions.<br>• Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability.<br>• Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies.<br>• Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
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.
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 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.
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.
We are looking for an experienced Solutions Architect to lead the design of scalable technology solutions that support distribution and logistics operations in North Brunswick, New Jersey. This role will connect business needs with practical system architecture, with a strong focus on enterprise integrations, cloud-enabled platforms, and operational technology improvements. The ideal candidate brings deep technical expertise, strong collaboration skills, and the ability to guide initiatives from solution design through successful deployment.<br><br>Responsibilities:<br>• Design and implement integrations across internal applications and external partner systems using APIs, middleware, and event-driven patterns.<br>• Create technical solutions that support customer onboarding by connecting enterprise platforms with customer and supply chain applications.<br>• Work closely with vendors, partners, and internal teams to establish dependable data exchange processes and resolve integration challenges.<br>• Contribute hands-on development and configuration work to deliver architecture designs in alignment with technical specifications and project goals.<br>• Partner with operations, transportation, customer service, distribution, and finance teams to identify process improvements and apply technology-driven solutions.<br>• Support the enhancement and rollout of logistics platforms, including warehouse, yard, labor, and transportation-related systems.<br>• Architect cloud and hybrid environments in collaboration with infrastructure and cybersecurity teams to strengthen availability, resilience, and continuity.<br>• Provide technical leadership by reviewing solution designs, advising delivery teams, and promoting sound architecture standards and best practices.<br>• Embed security considerations such as access control, encryption, monitoring, and auditability into solution designs while participating in risk and compliance reviews.<br>• Assist with software evaluations, vendor selection activities, project planning, and prioritization of technology initiatives across the business.
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.
We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives.<br><br>Responsibilities:<br>• Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases.<br>• Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable.<br>• Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption.<br>• Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite.<br>• Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate.<br>• Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes.<br>• Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability.<br>• Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers.<br>• Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions.<br>• Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
<p><strong>Data Scientist III </strong>(Supply Chain Optimization & Forecasting)</p><p>Long Term Contract</p><p>Hybrid Philadelphia, PA</p><p>Pay: Available on W2</p><p><strong>Overview</strong></p><p>We are seeking an experienced <strong>Data Scientist III</strong> to support a Supply Chain Planning Center of Excellence focused on forecasting, inventory optimization, and advanced analytics. This individual will design and deploy data science and operations research solutions that improve demand planning, inventory performance, and supply chain decision-making across complex business networks.</p><p>This role requires a combination of Data Science and Operations Research expertise. Candidates should be comfortable building machine learning models as well as optimization and linear programming solutions that support supply chain planning and inventory decisions.</p><p><strong>Key Responsibilities</strong></p><p>Forecasting & Data Science</p><ul><li>Develop and deploy time-series forecasting and machine learning models to improve demand planning performance.</li><li>Build and enhance demand forecasting models and machine learning solutions.</li><li>Develop inventory optimization, linear programming, and Operations Research models that improve planning decisions.</li><li>Analyze inventory performance, demand variability, and forecasting accuracy to improve business outcomes.</li><li>Translate business requirements into scalable analytical solutions.</li><li>Perform feature engineering, model development, validation, and statistical analysis using large-scale supply chain datasets.</li></ul><p>Inventory Optimization & MEIO</p><ul><li>Lead the development, enhancement, and ownership of Multi-Echelon Inventory Optimization (MEIO) models.</li><li>Translate business requirements, operational constraints, and planning policies into mathematical optimization models and decision-support tools.</li><li>Develop optimization logic that balances inventory investment, service levels, safety stock, lead-time variability, network constraints, and cost objectives.</li></ul><p>Optimization Engineering</p><ul><li>Build and maintain mathematical optimization models using commercial optimization solvers such as Gurobi or similar platforms.</li><li>Apply optimization techniques including linear programming, mixed-integer programming, scenario modeling, simulation, and uncertainty-aware optimization.</li></ul><p>Data Engineering & Operationalization</p><ul><li>Develop and maintain SQL-based ETL processes and data pipelines that support optimization and forecasting solutions.</li><li>Partner with data engineering teams to ensure data quality, availability, and reliability.</li><li>Create monitoring, governance, and documentation processes to support production-ready solutions.</li></ul>
<p><br></p><ul><li><strong>Position:</strong> Data Analyst - Legal Entity Management (Contract-to-Hire)</li><li><strong>Location:</strong> Newark, DE 19713</li><li><strong>Schedule:</strong> 100% Onsite, Monday-Friday, 9:00 AM - 5:00 PM</li><li><strong>Required Experience:</strong> 2+ years of experience working with legal entity documentation, onboarding, data gathering, or financial services operations</li><li><strong>Tentative Pay Rate:</strong> <strong>$30.00 per hour</strong></li></ul><p>Job Description</p><p>Our client is seeking a detail-oriented <strong>Data Analyst</strong> to join the <strong>CAPO - Legal Entity Management</strong> team supporting Global Alternatives. This role is responsible for reviewing and interpreting legal entity documentation, supporting entity onboarding and maintenance activities, ensuring data quality, and partnering with stakeholders across the business to meet regulatory and operational requirements.</p><p>The ideal candidate will have strong analytical skills, experience handling sensitive information, exceptional attention to detail, and the ability to manage multiple priorities in a fast-paced environment.</p><p>Key Responsibilities</p><ul><li>Support end-to-end legal entity onboarding and maintenance across firmwide platforms</li><li>Review, analyze, and interpret legal entity documents and supporting records</li><li>Gather, validate, and maintain legal entity and financial data</li><li>Handle sensitive PII and ensure compliance with data retention requirements</li><li>Prepare and support monthly, quarterly, and annual reporting activities</li><li>Maintain audit-ready documentation and evidence supporting regulatory controls</li><li>Partner with business stakeholders, operations teams, controllers, and regulatory groups</li><li>Conduct data quality reviews and resolve documentation or data discrepancies</li><li>Assist with process improvement initiatives, automation opportunities, and data governance projects</li><li>Support special projects aligned with legal entity management and reporting objectives</li></ul>
We are looking for an experienced Senior Database Administrator to support a complex Microsoft SQL Server environment. This long-term contract position is focused on maintaining dependable, secure, and high-performing database platforms across development, testing, and production environments. The role partners closely with application, infrastructure, and security teams to strengthen availability, improve performance, and uphold data protection standards. This opportunity is ideal for someone who brings deep technical expertise in database operations, recovery planning, automation, and operational support.<br><br>Responsibilities:<br>• Oversee the day-to-day administration of Microsoft SQL Server databases to maintain stability, uptime, and consistent performance across multiple environments.<br>• Direct backup, restore, high-availability, and disaster recovery activities to ensure business continuity and readiness for operational interruptions.<br>• Investigate and resolve performance bottlenecks, blocking events, deadlocks, failed scheduled jobs, and storage or capacity concerns.<br>• Partner with development teams to refine database queries, improve indexing strategies, and analyze execution plans for stronger application performance.<br>• Manage database security by maintaining user access, role assignments, permissions, auditing controls, and privileged account practices.<br>• Contribute to onboarding efforts related to database account access and privileged credential management, including coordination with security access tools.<br>• Implement and support data masking approaches that protect sensitive information and help meet regulatory and internal compliance expectations.<br>• Create and maintain automation scripts for recurring administrative tasks, monitoring, deployments, and operational support processes.<br>• Assist with patching, upgrades, migrations, and environment refresh efforts while minimizing operational disruption.<br>• Produce and maintain technical documentation, maintenance procedures, and recovery runbooks to support consistent and repeatable database operations.
We are looking for an AI Security Architect to help shape and strengthen the security posture of enterprise AI capabilities in Pennsylvania. This contract opportunity is ideal for a security specialist who can guide the safe adoption of AI platforms, agent-based tools, and AI-assisted development practices while aligning with internal standards and regulatory expectations. The role works closely with technology, risk, compliance, and business teams to evaluate emerging capabilities, address evolving threats, and support responsible innovation.<br><br>Responsibilities:<br>• Develop and refine security architecture for AI platforms, intelligent agents, and AI-assisted coding solutions to support secure deployment and ongoing operations.<br>• Assess platform enhancements, configuration updates, and newly introduced AI features to identify potential risk and recommend practical safeguards before implementation.<br>• Establish and improve protective controls for AI environments, including permissions, monitoring, logging, data safeguards, and usage restrictions.<br>• Analyze how sensitive and regulated information is handled within AI workflows, and support governance efforts related to classification, labeling, and responsible data use.<br>• Review connectors, plugins, integrations, and agent-driven capabilities to confirm appropriate access levels and reduce exposure across teams and systems.<br>• Conduct structured security evaluations of AI tools, models, and services to verify alignment with internal policies and relevant industry guidance.<br>• Research new AI security technologies and threat patterns, including prompt-based attacks, model misuse, and unintended data exposure, and identify opportunities for improvement.<br>• Partner with stakeholders across IT, risk, compliance, and business functions to communicate findings and advance secure AI adoption.<br>• Support secure software development by reviewing AI-generated code practices and incorporating AI-focused security checks into engineering workflows.<br>• Produce meaningful security metrics, including key risk and performance indicators, to strengthen monitoring and decision-making for AI security operations.
<p>We are looking for a Business Analyst to join a collaborative team on a contract basis. This position will partner closely with business stakeholders and cross-functional teams to translate operational needs into clear, actionable requirements. The ideal candidate brings strong experience with Salesforce and nCino, along with the ability to support agile planning, documentation, and ongoing process improvement.</p><p><br></p><p>Responsibilities:</p><p>• Lead discovery sessions with business partners to identify goals, capture needs, and clarify functional expectations.</p><p>• Convert business input into organized requirements, user stories, and supporting documentation for delivery teams.</p><p>• Refine and manage the requirements backlog to keep work items current, well-defined, and ready for development.</p><p>• Contribute to prioritization conversations by evaluating business value, urgency, and implementation considerations.</p><p>• Administer and update the Salesforce and nCino SharePoint repository to ensure materials remain accurate and accessible.</p><p>• Collaborate closely with experienced business analysis and scrum team members to support agile ceremonies and day-to-day delivery activities.</p><p>• Review existing documents and workflows to identify gaps, inconsistencies, and opportunities for improved alignment.</p><p>• Act as a liaison between stakeholders and project teams to promote shared understanding throughout the project lifecycle.</p>
We are looking for an Infrastructure Engineer to support and strengthen enterprise infrastructure operations across on-premises and cloud environments. This contract opportunity is ideal for a hands-on individual who can help maintain reliable data center services, improve Microsoft 365 and Azure platforms, and contribute to secure, scalable technology solutions. The role partners with internal teams and external providers to deliver practical infrastructure improvements, support end users, and drive consistent operational standards.<br><br>Responsibilities:<br>• Deliver technical support for employees using Windows, macOS, iOS, and Android devices, ensuring timely resolution of hardware, software, and access issues.<br>• Oversee the health and performance of data center systems across physical, virtual, and hosted environments, and work with service partners to implement improvements.<br>• Execute infrastructure updates and platform changes across servers, operating systems, virtualization layers, and storage systems using controlled deployment practices.<br>• Administer and enhance Microsoft 365 and Azure services with a focus on usability, security, service consistency, and cost awareness.<br>• Configure and support identity and access solutions, including Active Directory and Azure Active Directory integrations with cloud applications and SaaS platforms.<br>• Participate in disaster recovery planning and carry out recovery procedures to validate readiness and alignment with business expectations.<br>• Introduce tools and processes that simplify end-user support, while guiding teams through adoption of new infrastructure services and capabilities.<br>• Create and maintain technical standards, system documentation, and operational procedures to support repeatable service delivery.<br>• Lead or contribute to small and mid-sized infrastructure initiatives across multiple sites, coordinating tasks, timelines, and technical execution.