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 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.
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 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 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 highly skilled IAM/Active Directory Architect to join our team in King of Prussia, Pennsylvania. In this long-term contract role, you will lead critical identity and access management (IAM) migration efforts, ensuring smooth transitions across Azure and Active Directory environments. This position is an exciting opportunity to contribute to a dynamic industry focused on waste, refuse, and environmental waste management.<br><br>Responsibilities:<br>• Develop and implement strategies to migrate identity and access management (IAM) components, including exporting, mapping, and reimporting data across Azure tenants.<br>• Rebuild managed identities for application services, container applications, and serverless environments.<br>• Migrate or recreate application registrations within the new Entra ID tenant.<br>• Create automation solutions using Microsoft Graph to handle large-scale identity operations efficiently.<br>• Execute Active Directory user and computer migrations using Quest Migration Manager.<br>• Design and implement Conditional Access policies tailored for the new Entra ID tenant.<br>• Collaborate with identity specialists to extract critical knowledge and execute migration tasks independently.<br>• Prepare comprehensive documentation, including identity architecture blueprints and operational runbooks, for seamless handoff to permanent teams.
Job Responsibilities Design, build, and maintain scalable ERP data pipelines for platforms such as Workday and enterprise systems Own end‑to‑end lifecycle of ERP data pipelines (ingestion → transformation → delivery) Support data conversion and migration initiatives (e.g., M&A, system integrations) Ensure pipeline reliability, recoverability, and stable production operations Troubleshoot pipeline failures and resolve root causes of data defects and operational issues Partner with business analysts and stakeholders to translate requirements into data solutions Implement and enforce SDLC best practices (version control, code reviews, CI/CD, release management) Develop and maintain data quality controls (freshness, completeness, anomaly detection, schema management) Detect and manage schema drift and downstream data issues proactively Build and maintain monitoring, alerting, and observability for data pipelines Optimize performance, scalability, and cost of data workloads Track operational KPIs (e.g., pipeline success rates, SLAs, incident trends, recovery times) Create runbooks, documentation, and audit‑ready operational processes Collaborate with data governance, security, and compliance teams on controls and data access Support analytics, reporting, and integration teams with reliable, well‑governed datasets Communicate effectively with technical and non‑technical stakeholders and escalate risks early
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 Software Engineer / Data Engineer to build and enhance internal platforms that support research, analytics, and investment workflows in New York, New York. This role combines product-minded software development with data engineering, giving you the opportunity to create scalable applications, shape technical architecture, and improve how teams access and use information. You will work closely with analysts and data specialists to turn complex needs into reliable tools that streamline decision-making and expand internal AI capabilities.<br><br>Responsibilities:<br>• Create and support internal applications, including dashboards, research platforms, and workflow solutions that improve day-to-day productivity across the firm.<br>• Develop and maintain AI-enabled internal systems such as application services, knowledge retrieval capabilities, agent-based tools, and monitoring frameworks for performance and quality.<br>• Collaborate with investment professionals and data science teams to convert research processes into stable, user-focused software products.<br>• Define technical direction for new systems, selecting appropriate architecture and establishing engineering standards that can scale with future development.<br>• Build backend services and data pipelines using Python, PySpark, and Databricks to support analytics, automation, and application functionality.<br>• Contribute to frontend experiences for internal users with modern web technologies such as Next.js, React, and interactive visualization tools.<br>• Design solutions that connect APIs, user interfaces, data storage, and cloud infrastructure into cohesive, maintainable platforms.
We are looking for a skilled Cloud Engineer to join our team in King of Prussia, Pennsylvania. In this long-term contract role, you will design and implement Azure infrastructure solutions, working with established Infrastructure as Code (IaC) patterns and modules. This position requires expertise in managing complex configurations and cross-environment dependencies to ensure seamless operations.<br><br>Responsibilities:<br>• Develop and deploy Azure infrastructure using Terraform or Bicep modules provided by the Senior Cloud Engineer.<br>• Manage and resolve complex configurations that involve multiple environments or interconnected workstreams.<br>• Execute migration and remediation processes during workload transitions and cutover events.<br>• Validate the deployed infrastructure to ensure alignment with target-state design specifications.<br>• Troubleshoot and resolve deployment issues, addressing any configuration conflicts that arise.<br>• Contribute to the creation and maintenance of documentation and knowledge-sharing materials for team use.
<p>We are looking for a Contract Business Analyst to support supply chain and operations initiatives in New York, NY. This role partners closely with procurement, logistics, warehousing, and technology teams to turn operational challenges into practical reporting and data solutions. The ideal candidate combines strong business analysis capabilities with hands-on experience in analytics tools, process evaluation, and cross-functional collaboration. This position is well suited for someone who can connect business priorities with actionable insights in a complex outsourced operating environment.</p><p><br></p><p>Responsibilities:</p><p>• Partner with supply chain, procurement, logistics, and warehouse stakeholders to gather needs, define priorities, and translate operational goals into clear analytical requirements.</p><p>• Build and refine dashboards, reports, and performance views that improve visibility into inventory movement, partner performance, and service outcomes across the network.</p><p>• Evaluate current workflows, identify process gaps, and recommend improvements that strengthen data accuracy, reporting consistency, and decision-making.</p><p>• Work with technology and data teams in an Agile environment to document user stories, clarify acceptance criteria, and support solution delivery.</p><p>• Perform document review and business process analysis to ensure requirements, metrics, and reporting logic are aligned with operational objectives.</p><p>• Monitor data quality issues, investigate discrepancies, and help establish controls that improve trust in supply chain and operations reporting.</p><p>• Facilitate communication between business users and technical teams to ensure solutions are practical, scalable, and aligned with business expectations.</p><p>• Support ongoing analytics initiatives by applying structured problem-solving and gap analysis to uncover trends, risks, and improvement opportunities.</p>
We are looking for a Business Analyst to support complex initiatives within the financial services sector in New York, New York. This Long-term Contract position focuses on defining business needs, shaping clear functional documentation, and partnering with technical and business teams to deliver effective solutions. The role requires someone who can connect stakeholder expectations with system capabilities while helping projects stay organized, well-documented, and aligned with delivery goals.<br><br>Responsibilities:<br>• Gather and define business and system needs by working closely with stakeholders to clarify objectives, constraints, and expected outcomes.<br>• Produce well-structured requirement documents, functional specifications, and supporting analysis artifacts that guide project execution.<br>• Convert operational needs and technical concerns into practical, clearly documented solutions for project teams and business partners.<br>• Maintain oversight of requirement changes, facilitate review sessions, and ensure approvals are captured throughout the project lifecycle.<br>• Develop and update process models, domain analysis materials, wireframes, business rules, and related documentation to support solution design.<br>• Contribute to multiple project efforts by tracking scope, updating key documents, monitoring priorities, and supporting timely completion of milestones.<br>• Partner with designers, architects, and testing teams to confirm that proposed solutions and test coverage remain consistent with approved requirements.<br>• Coordinate and execute user acceptance testing activities, including validation of results and follow-up on identified issues.<br>• Support detailed systems design work by defining configuration needs, functional behavior, and data migration rules where required.<br>• Build effective working relationships with internal stakeholders, customers, and external partners while escalating risks or blockers through appropriate channels.