We are looking for a skilled Data Engineer to join our team on a long-term contract basis. In this role, you will play a critical part in managing and organizing data systems, ensuring they are optimized for performance and scalability. Based in New York, New York, this position offers an exciting opportunity to work on cutting-edge data platforms and contribute to impactful business solutions.<br><br>Responsibilities:<br>• Design, develop, and maintain data pipelines to support efficient data integration and processing.<br>• Implement and manage Snowflake-based data repositories to centralize and secure organizational data.<br>• Utilize Palantir to standardize and analyze data across multiple divisions, ensuring consistency and accuracy.<br>• Develop ETL processes to extract, transform, and load data from various sources into centralized systems.<br>• Collaborate with stakeholders to define data requirements and optimize system performance.<br>• Leverage tools like Apache Spark, Hadoop, and Kafka to build scalable data solutions.<br>• Monitor and troubleshoot data systems to ensure reliability and address any issues promptly.<br>• Deploy advanced analytics and AI models to drive operational efficiencies.<br>• Document processes and provide technical support to ensure smooth implementation and usage of data systems.
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 healthcare organization in Morristown, New Jersey. This Long-term Contract position will focus on shaping scalable data structures that support analytics, reporting, and enterprise data initiatives. The role works closely with technical and business teams to turn complex information needs into well-organized, high-performing data solutions. This opportunity is ideal for someone who is detail oriented, brings strong data modeling expertise, and can contribute in a regulated environment.<br><br>Responsibilities:<br>• Create and refine conceptual, logical, and physical data models across relational, dimensional, and non-relational platforms.<br>• Produce and maintain entity relationship diagrams, data flow artifacts, and supporting documentation that align with organizational standards.<br>• Work alongside engineers, architects, and analysts to ensure data designs enable reliable ingestion, transformation, and reporting processes.<br>• Convert business needs into efficient database structures that support performance, scalability, and long-term usability.<br>• Review model designs for consistency and quality while promoting sound modeling practices across the team.<br>• Maintain metadata, business definitions, lineage details, and data dictionaries to improve transparency and governance.<br>• Support warehouse and mart design by developing schemas suited for analytics and downstream reporting needs.<br>• Investigate and address issues related to data integrity, duplication, and quality through thoughtful structural design.<br>• Contribute to governance and cataloging efforts that improve standardization and enterprise data management.<br>• Deliver modeling outputs within an Agile framework, partnering with teams through iterative sprint cycles.
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 a Data Analyst to support a non-profit organization through careful analysis, issue tracking, and data-driven decision-making. This Long-term Contract position is ideal for someone who can work across ticketing workflows, service desk activity, and business systems to improve visibility and operational efficiency. The role calls for someone who can translate data into practical insights while collaborating with technical and administrative stakeholders.<br><br>Responsibilities:<br>• Analyze operational and service-related data to identify patterns, trends, and opportunities for process improvement.<br>• Monitor and evaluate ticketing system activity, producing reports that help teams prioritize issues and measure performance.<br>• Review service desk tickets to uncover recurring problems, support root-cause analysis, and recommend corrective actions.<br>• Partner with cross-functional teams to gather reporting needs and deliver accurate, timely insights for business decisions.<br>• Maintain and interpret data connected to networking and device management environments to support service quality.<br>• Assist with Salesforce administration-related reporting, data validation, and ongoing data accuracy efforts.<br>• Create dashboards, summaries, and ad hoc analyses that clearly communicate findings to technical and non-technical audiences.<br>• Support data-related activities tied to system or process changes when needed, ensuring documentation and reporting remain consistent.
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 an experienced Senior Data Engineer to strengthen our data ecosystem in Greenwich, Connecticut. This role will drive the development of reliable, scalable data pipelines, reporting capabilities, and platform enhancements that support critical business operations. The ideal candidate brings deep expertise in Microsoft-based data environments, strong SQL and ETL skills, and a practical approach to solving complex integration challenges.<br><br>Responsibilities:<br>• Build, enhance, and tune data pipelines, integration workflows, and core data platforms to support scalable and dependable information delivery.<br>• Translate business needs into technical solutions by partnering with internal teams and external vendors on data integration, reporting, and analytics initiatives.<br>• Create and implement automated processes that reduce manual effort, improve accuracy, and increase operational efficiency across data-related functions.<br>• Oversee production data jobs, investigate failures, resolve high-priority issues, and participate in after-hours support when needed.<br>• Produce technical design documents, process specifications, and operational documentation to promote consistency, maintainability, and knowledge sharing.<br>• Develop and deploy reporting and dashboard solutions that improve visibility into business performance while maintaining appropriate access controls and data security.<br>• Lead the ongoing improvement of database and integration performance, with attention to scalability, reliability, and long-term platform stability.<br>• Contribute to cloud-oriented data engineering efforts, including support for modernization initiatives involving services such as Azure-based platforms.<br>• Support application and data connectivity by implementing and maintaining API-based integrations where required.
We are looking for a highly experienced Data/Information Architect to lead the design and implementation of enterprise-wide data architecture solutions. This long-term contract position offers the opportunity to shape scalable, efficient, and high-performance data systems that align with organizational goals. The ideal candidate will have a strong background in data modeling, governance frameworks, and modern lakehouse architectures, working collaboratively with both technical teams and business stakeholders to deliver actionable insights.<br><br>Responsibilities:<br>• Develop and maintain enterprise data models that support analytics, reporting, and operational needs.<br>• Implement best practices for data modeling in a lakehouse architecture, ensuring scalability and alignment with business requirements.<br>• Architect data structures using methodologies such as Star Schema, Snowflake Schema, and Data Vault for optimal performance.<br>• Collaborate with stakeholders to gather data requirements and ensure business objectives are met.<br>• Work alongside Data Engineers to create physical data models optimized for Microsoft Fabric and Delta Lake environments.<br>• Establish governance processes, including metadata management, data lineage, and quality assurance protocols.<br>• Define and manage canonical data models across key business domains to ensure consistency.<br>• Document and enforce data modeling standards to drive adoption across engineering teams.<br>• Assess and enhance existing data models, identifying areas for improvement in performance and alignment.<br>• Provide strategic guidance on data management tools and technologies to support organizational goals.
<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>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>
We are looking for a Software Engineer to join a team building and enhancing modern web applications in New York City, New York. This Long-term Contract opportunity is ideal for someone who enjoys developing reliable, scalable solutions across both front-end and back-end environments. The role focuses on creating high-quality software, collaborating with cross-functional partners, and contributing to continuous improvements throughout the development lifecycle.<br><br>Responsibilities:<br>• Design, build, and maintain software applications using C#, .NET, and ASP.NET technologies.<br>• Develop responsive user-facing features with JavaScript and React.js to deliver an intuitive application experience.<br>• Collaborate with product, engineering, and business stakeholders to translate requirements into effective technical solutions.<br>• Write clean, testable, and maintainable code while following established development standards and best practices.<br>• Troubleshoot application issues, identify root causes, and implement timely fixes to support stable system performance.<br>• Participate in code reviews and contribute ideas that improve application quality, usability, and long-term maintainability.<br>• Support enhancements, updates, and technical changes as part of ongoing application development efforts.<br>• Document technical designs, implementation details, and development updates to support team knowledge sharing.
We are looking for a Software Engineer to build modern web applications that combine reliable backend services with intuitive user interfaces. This position partners closely with product, design, and quality teams to turn business needs into well-crafted technical solutions. Based in New York, the role is ideal for someone who values maintainable code, strong engineering practices, and delivering high-quality digital experiences.<br><br>Responsibilities:<br>• Create and enhance full-stack web solutions using C#, .NET, ASP.NET Core, Razor, Blazor, JavaScript, and React.js.<br>• Develop backend services, front-end components, and interactive application features that support a smooth and responsive user experience.<br>• Work alongside stakeholders across product, design, and testing to shape requirements, build functionality, and release updates effectively.<br>• Improve application reliability by addressing performance, security, accessibility, and overall code quality throughout the development lifecycle.<br>• Connect applications with relational databases and external service integrations while ensuring data accuracy and system stability.<br>• Review code, share technical guidance, and encourage sound development standards across the engineering team.<br>• Participate in architecture and implementation decisions that support scalable, maintainable, and efficient software delivery.
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.
We are looking for a detail-oriented Data Visualization specialist to join a healthcare-focused organization in New Jersey. This contract-to-permanent opportunity is ideal for someone who can turn complex data into clear, actionable reporting that supports operational and strategic decisions. The role combines dashboard development, data modeling, and close collaboration with business and technical teams to deliver reliable, user-friendly analytics solutions.<br><br>Responsibilities:<br>• Create intuitive dashboards, reports, and visual analytics that highlight performance measures, patterns, and business insights for stakeholders<br>• Work closely with business partners, analysts, and data teams to define reporting needs and convert key questions into effective visual solutions<br>• Determine the best charting methods, layout approaches, and presentation techniques based on data structure and audience needs<br>• Integrate reporting and visualization platforms with enterprise data sources such as cloud environments, relational systems, APIs, and flat-file inputs<br>• Develop and refine data models, semantic structures, and calculated measures to support accurate and efficient reporting<br>• Apply strong visualization design standards with attention to usability, accessibility, formatting, color usage, and information flow<br>• Maintain consistent reporting practices by developing templates, style standards, and reusable visual components across the BI environment<br>• Improve dashboard responsiveness and scalability through query optimization, data design improvements, caching methods, and efficient loading strategies<br>• Partner with data engineers and modelers to identify data reliability concerns and ensure reporting is built on trusted, documented datasets<br>• Produce enablement materials such as documentation, user guides, training content, and repeatable templates to support self-service analytics adoption
<p>A hands-on data leader is sought who thrives at the intersection of high-impact analytics, people development, and strategic influence. The ideal candidate will help shape the future of a data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for how data can drive the achievement of bold business goals.</p><p><br></p><p><strong>Primary Responsibilities:</strong></p><ul><li>Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building.</li><li>Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights.</li><li>Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models.</li><li>Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes.</li><li>Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting.</li><li>Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms.</li><li>Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams.</li><li>Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders.</li><li>Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges.</li></ul><p><br></p>
We are looking for a Data Strategy and Governance Specialist to help strengthen enterprise-wide data practices in New York, New York. This role will guide the development of practical governance standards, foster collaboration across business and technical teams, and support a more consistent approach to managing information assets. The ideal candidate brings strong communication and change leadership skills, along with experience turning governance concepts into workable processes in evolving organizations.<br><br>Responsibilities:<br>• Partner with stakeholders across departments to establish data governance practices and encourage consistent adoption without relying on direct authority.<br>• Lead workshops and working sessions that align business and technical teams on policies, ownership, and stewardship expectations for critical data assets.<br>• Develop and refine standards related to data classification, retention, lifecycle management, and responsible information use across the organization.<br>• Analyze recurring data quality concerns, identify underlying trends, and recommend practical corrective actions that improve trust in enterprise data.<br>• Support the use and optimization of tools within the Microsoft ecosystem, including SharePoint and Microsoft 365, with exposure to Microsoft Purview where applicable.<br>• Translate complex governance, privacy, and technical topics into clear guidance tailored to executives, operational teams, and other stakeholder groups.<br>• Drive incremental change by introducing governance structures in environments where formal processes may be limited or still maturing.<br>• Contribute to reporting and insight development using business intelligence platforms such as Power BI or Tableau to monitor governance-related outcomes.<br>• Advise on ethical AI and data privacy considerations as part of broader data management and governance efforts.
We are looking for an experienced Network Engineer to join our team in New York, New York. This long-term contract position offers an excellent opportunity to work in the asset management industry, focusing on high-level network design, implementation, and maintenance. The ideal candidate will have over seven years of experience in network engineering and a strong background in Cisco technologies and firewalls.<br><br>Responsibilities:<br>• Design, implement, and maintain network solutions using Cisco routers and switches.<br>• Configure and manage Palo Alto firewalls to ensure network security.<br>• Oversee the deployment and administration of Cisco ASA devices.<br>• Implement and troubleshoot Border Gateway Protocol (BGP) to optimize network performance.<br>• Monitor network performance and address issues to minimize downtime.<br>• Collaborate with cross-functional teams to support network upgrades and improvements.<br>• Provide technical expertise in diagnosing and resolving complex network problems.<br>• Document network configurations, processes, and updates for future reference.<br>• Ensure compliance with organizational and industry security standards.<br>• Conduct regular assessments to identify and mitigate potential vulnerabilities.
We are looking for a Cyber Security Engineer to strengthen and oversee the organization’s security posture in New York. This role is suited to an experienced, detail-oriented individual who can assess risk, guide security practices, and protect systems across a mixed technology environment. The ideal candidate brings strong judgment, technical depth, and the ability to communicate clearly with stakeholders while handling sensitive matters with discretion.<br><br>Responsibilities:<br>• Lead day-to-day security efforts by identifying vulnerabilities, analyzing threats, and coordinating timely remediation activities across systems and networks.<br>• Evaluate the security of Windows and macOS environments, including patch management practices, endpoint protections, and configuration standards.<br>• Monitor network activity and security controls such as firewalls and related tools to help prevent unauthorized access and reduce operational risk.<br>• Investigate potential incidents, determine the scope of exposure, and drive response actions to contain and resolve security issues effectively.<br>• Review third-party security documentation, including SOC 2 reports, to support vendor risk assessments during contracting and procurement processes.<br>• Help develop, maintain, and reinforce information security policies, standards, and procedures in alignment with regulatory and organizational requirements.<br>• Partner with IT teams, leadership, and internal users to communicate security recommendations, report findings, and support informed decision-making.<br>• Contribute technical and analytical expertise to strengthen monitoring capabilities, improve risk visibility, and support ongoing security program maturity.
<p>This role sits at the intersection of AI engineering, data scientist, developer enablement, and customer engagement. You will partner with Product, Engineering, Applied Science, and AI Platform teams to support implementation decisions, accelerate AI adoption, and help teams adopt reusable AI engineering patterns and implementation best practices.</p><p>This is a deeply hands-on role focused on building, prototyping, and iterating on AI-powered experiences. The ideal candidate combines strong software engineering fundamentals with practical experience deploying LLM applications, agent systems, and AI-native workflows in production environments.</p><p><br></p><p><strong>What you’ll do</strong></p><p><strong>Start with customers</strong></p><p>• Spend real time with lawyers, legal operations teams, and our internal subject-matter experts — in their offices, on their calls, watching their workflows. Develop a strong understanding of customer workflows and operational challenges through direct engagement.</p><p>• Translate ambiguous, half-formed customer pain into crisp problem statements the team can build against.</p><p>• Collaborate closely with customers and internal stakeholders to prototype, validate, and refine AI-powered workflows and user experiences based on customer feedback and observed user needs.</p><p>• Bring the customer voice back into our roadmaps, our model choices, and our trade-offs.</p><p>• Occasional travel to customer sites may be required to better understand workflows and gather product feedback.</p><p><br></p><p><strong>Build AI-powered applications and workflows</strong></p><ul><li>Contribute to AI-powered applications and workflows for legal and business use cases, including leveraging existing RAG pipelines, research assistants, and related AI capabilities developed by ML engineering teams.</li><li>Implement and iterate on LLM application capabilities such as prompt engineering, multi-step workflows, tool calling, and lightweight agent patterns in collaboration with machine learning engineering teams.</li><li>Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across AI services.</li><li>Work with frameworks such as LangChain, LangGraph, LlamaIndex, MCP/A2A, OpenAI SDKs, Google ADK, and/or Anthropic/Claude APIs to prototype and productionize AI capabilities.</li><li>Participate in experimentation, testing, and performance optimization activities for LLM-based applications in production environments.</li></ul><p><strong>Contribute to AI Engineering Enablement</strong></p><ul><li>Support adoption of AI engineering practices by helping software engineering teams incrementally integrate machine learning and generative AI capabilities into existing products and workflows, in collaboration with AI/ML engineering teams.</li><li>Promote reusable AI/ML engineering standards, tooling, and best practices that reduce friction for teams adopting AI and machine learning technologies, while aligning with recommendations from data science and AI platform teams.</li><li>Help software engineers expand their capabilities in ML-oriented development for applicable use cases without requiring deep data science specialization.</li><li><br></li></ul>
We are looking for an experienced Software Engineer to join a machinery manufacturing organization in Danbury, Connecticut. In this role, you will build and enhance software for complex equipment, partnering across disciplines to deliver reliable, high-performance solutions. The position calls for a strong background in object-oriented development, real-time system design, and practical problem-solving in technically demanding environments.<br><br>Responsibilities:<br>• Design, develop, and maintain software for complex machinery and mechatronic systems across the full product development life cycle<br>• Create robust applications primarily in C++ while contributing to related development efforts involving C#, JavaScript, and React.js where needed<br>• Engineer software components that operate within real-time environments and support dependable system performance<br>• Collaborate with mechanical, electrical, and software teams to define requirements and deliver integrated solutions using a systems-level perspective<br>• Diagnose and resolve challenging cross-functional issues affecting software behavior, controls, and overall system operation under demanding timelines<br>• Participate in Agile planning, development, and review activities to ensure steady progress and effective team coordination<br>• Develop and execute testing and quality assurance activities to verify functionality, reliability, and performance<br>• Communicate technical concepts clearly to both engineering and non-technical stakeholders, including project updates for leadership<br>• Contribute to software solutions that interact with web-based services and enterprise data platforms when required