<p>We are looking for a Data Engineer to join a Chemicals Manufacturing organization in New Jersey in a contract-to-permanent capacity. This role focuses on creating reliable, secure, and scalable data solutions that connect operational and business systems to enterprise reporting, analytics, and advanced data use cases. The position will work across IT and operational environments to support trusted data delivery for functions such as finance, supply chain, operations, commercial teams, and corporate analytics.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain large-scale data pipelines that move information from enterprise and operational source systems into structured data layers for analytics and reporting.</p><p>• Develop curated and semantic data models that support business intelligence platforms, downstream applications, and data-driven decision-making across the organization.</p><p>• Connect manufacturing and operational technology data sources using approved integration methods while coordinating with plant and controls teams to protect system reliability and safety.</p><p>• Establish data quality standards through validation rules, automated testing, and monitoring processes that improve accuracy, completeness, and timeliness of delivered datasets.</p><p>• Implement observability practices such as lineage tracking, alerting, and operational runbooks to strengthen support processes and reduce production issues.</p><p>• Apply security and governance controls including access management, secrets handling, data classification, and retention practices aligned with enterprise policies.</p><p>• Automate deployment workflows with Git-based CI/CD processes to promote consistent releases across environments and improve delivery reliability.</p><p>• Tune platform performance and resource usage by optimizing processing strategies, scaling approaches, and storage patterns to balance speed and cost.</p><p>• Partner with BI, data, and IT stakeholders to define data contracts, document solutions, and provide operational knowledge transfer to internal teams and external partners.</p><p><br></p><p><br></p><p>02710-0013476075</p><p><br></p>
We are looking for a skilled Cloud Engineering Specialist to support secure and reliable cloud services for a university environment in Union, New Jersey. This Long-term Contract position focuses on strengthening Microsoft 365 and related identity platforms while helping maintain resilient, scalable, and high-performing systems. The role is well suited for a hands-on cloud specialist who can balance technical problem-solving, automation, and cross-functional collaboration in a dynamic academic setting.<br><br>Responsibilities:<br>• Oversee daily administration and support of the Microsoft 365 environment to ensure dependable service delivery and strong platform performance.<br>• Manage and enhance cloud and identity solutions across Azure, Active Directory, Exchange Online, SharePoint, and Okta-connected services.<br>• Develop and maintain automation scripts, including PowerShell-based tasks, to improve efficiency, consistency, and operational control.<br>• Troubleshoot authentication, access, and integration issues involving cloud platforms and federated identity services.<br>• Partner with security, infrastructure, and application teams to strengthen the protection, availability, and scalability of institutional systems.<br>• Produce reports and validate account or access data by reconciling information from connected enterprise platforms such as student-related systems.<br>• Support cloud engineering initiatives by applying sound technical judgment and documenting solutions, configurations, and support processes.
We are looking for a Cloud Engineer to help build and support resilient cloud infrastructure in Morristown, New Jersey. In this role, you will create automation-first solutions using Terraform and Infrastructure as Code practices to improve scalability, consistency, and security. You will partner with development, DevOps, security, and infrastructure teams to deliver reliable cloud platforms and streamline deployment processes.<br><br>Responsibilities:<br>• Architect, implement, and maintain cloud environments across major platforms such as AWS, Azure, or Google Cloud.<br>• Create and refine reusable Terraform modules and infrastructure code standards to enable consistent provisioning at scale.<br>• Automate infrastructure deployment, system configuration, and operational workflows to reduce manual effort and improve reliability.<br>• Develop and support cloud networking, identity, security, and observability capabilities for enterprise applications.<br>• Work with cross-functional engineering teams to advance CI/CD pipelines and strengthen cloud automation practices.<br>• Investigate and resolve issues affecting infrastructure, cloud services, and application performance.<br>• Apply security controls, governance policies, and compliance measures throughout the cloud environment.<br>• Track platform health, availability, and resource usage to support performance optimization and capacity planning.<br>• Support container-based platforms using technologies such as Kubernetes and Docker.<br>• Produce clear technical documentation, architecture visuals, and operational procedures while contributing to cloud modernization initiatives.
<p>We are seeking a Senior Analyst who can take complex, raw datasets and deliver clear, actionable answers to business-critical questions. In this role, you will work with large, messy data environments, design the logic and models powering trend analysis and forecasting, and translate findings into strategic recommendations for client stakeholders.</p><p><br></p><p>Joining a agile, senior intelligence team, you will take the lead on analytical operations and onboarding for new clients.</p><p><br></p><p><strong><em><u>What You Will Do</u></em></strong></p><p><br></p><p>Data Onboarding & Preparation</p><ul><li><strong>Ingest Client Data:</strong> Ingest multi-source datasets (CRM, transactions, enrollment, web, media, and third-party files), assess data hygiene, and define analytical parameters and limitations.</li><li><strong>Data Wrangling:</strong> Clean, join, and structure large datasets (millions of records) into robust analytical tables.</li><li><strong>Automation:</strong> Build repeatable data pipelines and logic to streamline recurring monthly analyses.</li></ul><p>Analysis & Modeling</p><ul><li><strong>Performance Analysis:</strong> Evaluate business and marketing trends to uncover key drivers, business impacts, and progress toward client goals.</li><li><strong>Predictive Analytics:</strong> Build forecasting and predictive models (e.g., regression, time series, propensity, LTV) to project outcomes and quantify strategic opportunities.</li><li><strong>Customer & Campaign Insights:</strong> Conduct audience segmentation, cohort analysis, retention studies, and multi-channel performance evaluations.</li><li><strong>Experimentation & Testing:</strong> Design measurement frameworks for campaigns and A/B tests, ensuring robust control groups and incrementality measurement.</li></ul><p>Insight & Storytelling</p><ul><li><strong>Actionable Reporting:</strong> Translate findings into executive-ready narratives that lead with key takeaways, backed by data evidence and clear next steps.</li><li><strong>Stakeholder Presentation:</strong> Present findings directly to executive client stakeholders and internal cross-functional teams (account, media, creative).</li><li><strong>Reporting Integration:</strong> Collaborate with dashboard and automation leads to integrate recurring key metrics into automated reporting suites.</li></ul><p><br></p>
<p>Robert Half is hiring! We are looking for a Senior Software Engineer to build and evolve data-driven platforms that turn complex information into reliable, usable products. In this role, you will create resilient systems that process diverse data sources, support application experiences, and improve how information is stored, accessed, and delivered. You will work closely with teammates to shape engineering practices, solve production issues, and deliver iterative improvements that keep customer value at the center of development.</p><p><br></p><p>Responsibilities:</p><p>• Architect and develop scalable pipelines that collect, normalize, and transform structured and unstructured data from varied sources into formats ready for analytics and AI use cases.</p><p>• Build production-ready services with strong observability, dependable error handling, and ongoing performance tuning to support reliability at scale.</p><p>• Improve database and search-layer design across relational and document-oriented systems to balance speed, efficiency, and operating cost.</p><p>• Develop APIs and data access components that connect core data platforms with downstream application functionality in a clean and maintainable way.</p><p>• Lead feature development across the full lifecycle, from initial ingestion and backend processing through delivery of end-user capabilities.</p><p>• Investigate operational alerts, trace issues to underlying causes, and implement corrective actions that prevent repeat incidents.</p><p>• Partner with engineering leadership and cross-functional teammates to define sound data engineering standards, maintain useful technical documentation, and promote knowledge sharing.</p><p>• Make pragmatic engineering decisions by prioritizing customer outcomes and adjusting approach when added complexity does not create meaningful value.</p><p>• Deliver enhancements in incremental releases, using continuous iteration to steadily strengthen product quality and impact.</p>
We are looking for a Data Analyst to join a FinTech organization in New York, New York. This Long-term Contract position is ideal for someone who enjoys translating complex commercial and sales data into practical recommendations that support pricing, forecasting, and business decisions. In this role, you will work across teams to strengthen reporting accuracy, develop analytical models, and present insights that help guide deal strategy and revenue outcomes.<br><br>Responsibilities:<br>• Build and refine analytical models and reusable templates to evaluate new business opportunities as well as converted accounts.<br>• Perform margin-focused assessments on proposed deals to support pricing decisions and overall commercial strategy.<br>• Create clear presentation materials that summarize commercial proposals, financial considerations, and key business insights.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, risks, and recommendations for stakeholders.<br>• Audit and validate Salesforce data to improve consistency, completeness, and reporting reliability.<br>• Maintain accurate weekly tracking reports and ensure leadership has timely visibility into performance metrics and pipeline activity.<br>• Analyze sales and pricing data to uncover trends, compare scenario outcomes, and support revenue forecasting.<br>• Partner with cross-functional teams including Sales and Finance to align analysis with business objectives and customer needs.
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 join a FinTech organization on a long-term contract assignment. This role focuses on transforming commercial and sales data into meaningful analysis that supports pricing decisions, revenue planning, and opportunity evaluation. The successful candidate will work closely with cross-functional partners to develop clear reporting, validate critical business data, and deliver insights that strengthen decision-making across the business.<br><br>Responsibilities:<br>• Create analytical models and decision-support templates to assess new business and converted opportunities.<br>• Evaluate deal economics by examining margins, pricing structures, and overall commercial viability.<br>• Develop effective presentation materials that summarize commercial proposals and support stakeholder discussions.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, and recommendation points.<br>• Audit and maintain Salesforce data to improve accuracy, consistency, and reporting reliability.<br>• Keep weekly tracking reports current by monitoring key metrics, updating performance data, and highlighting notable changes.<br>• Analyze sales and pricing information to uncover trends, identify opportunities, and support more competitive market decisions.
<p>We are a market-leading U.S. consumer packaged goods (CPG) food manufacturer specializing in top-selling, allergy-friendly, and plant-based baked goods. Founded with a mission to create safe, delicious products for individuals with severe food allergies, our products are distributed to major retail and distribution partners nationwide.</p><p>Position Overview</p><p>We are seeking a highly motivated, in-house <strong>ERP & Database Engineer</strong> to take full ownership of our business data systems—assessing, updating, and optimizing our technical infrastructure.</p><p>We currently operate on an on-premise manufacturing ERP running on a Firebird 3.0 database (approx. 14 GB across 250+ tables). Internal reporting is driven by a legacy dashboard built in Visual Basic 6.0 (VB6), Microsoft Access, and ODBC connections. The ideal candidate will quickly master our existing legacy environment, document data flows, recommend a modernized path forward, and lead the technical execution.</p><p><br></p><p><strong><em>Key Responsibilities</em></strong></p><p><br></p><p>Phase 1: Assessment & Strategy</p><ul><li><strong>System Mapping:</strong> Map data flows between the core ERP, Firebird database, legacy VB6/Access dashboard, and EDI invoicing infrastructure.</li><li><strong>Database Audit:</strong> Identify custom tables/queries, resolve duplicate or inconsistent records, repair missing keys, and extract business logic embedded in legacy reports or spreadsheets.</li><li><strong>System Health Check:</strong> Review database maintenance, automated backups, file growth trends, and database version status.</li><li><strong>Knowledge Capture:</strong> Interview key internal stakeholders across Engineering, Accounting, Sales, and Production to document legacy logic and operational workflows.</li><li><strong>Strategic Recommendation:</strong> Present a comprehensive plan (including cost, timeline, and risk analysis) choosing one of the following paths:</li></ul><ol><li>Maintain the current ERP, clean core data, and replace the legacy dashboard.</li><li>Maintain the current ERP and build a separate, well-modeled reporting database to power dashboards.</li><li>Replace the legacy ERP with a new enterprise system and execute the data migration.</li></ol><p>Phase 2: Remediation & Execution</p><ul><li>Lead the selected technical roadmap from design and architecture through system cutover.</li><li>Establish automated database maintenance, tested backup procedures, monitoring, and upgrade schedules.</li><li>Retire the legacy VB6/Access dashboard in collaboration with our internal Systems Analyst (currently developing a modern Python replacement).</li><li>Maintain comprehensive documentation and train internal team members to ensure long-term system maintainability and continuity.</li></ul><p><br></p>