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 Software Engineer 2 to support identity and access management operations in Kansas City, Kansas. This Long-term Contract position focuses on strengthening privileged access practices, authentication services, and directory administration across Windows and hybrid cloud environments. The role partners with engineering, infrastructure, application, and vendor teams to address access-related issues, improve integrations, and create reliable operational documentation.<br><br>Responsibilities:<br>• Administer and support identity and access management services with a focus on privileged access, authentication workflows, and directory-based security controls.<br>• Coordinate the onboarding and maintenance of privileged accounts, ensuring appropriate access levels, credential handling, and session oversight are in place.<br>• Troubleshoot identity, login, and access issues across enterprise platforms and work closely with internal technical teams and external vendors to restore service efficiently.<br>• Assist with integrations between identity platforms, enterprise applications, and infrastructure components to improve secure connectivity and user access management.<br>• Perform access reviews and support governance activities by validating entitlements, monitoring control effectiveness, and helping maintain audit readiness.<br>• Document technical procedures, support models, and repeatable workflows to strengthen operational consistency and improve team efficiency.<br>• Support directory services administration in Windows and hybrid cloud environments, including user access, authentication dependencies, and policy-driven controls.<br>• Contribute to ongoing improvements in identity operations by identifying process gaps, recommending practical enhancements, and supporting implementation efforts across IAM tools.
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 analytics and data product development for a healthcare-focused team in Florida. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable reporting solutions, creating modern data products, and improving how business users access insights. The role combines hands-on dashboard development with engineering work in Databricks, helping expand advanced analytics capabilities across a lakehouse-based environment.<br><br>Responsibilities:<br>• Design and deliver interactive dashboards and reporting solutions that support business decision-making across the analytics function.<br>• Build and enhance data products within Databricks to provide reliable, user-friendly access to operational and analytical insights.<br>• Develop and maintain ETL pipelines using Python, Apache Spark, and Azure-based data services to prepare data for reporting and analysis.<br>• Create scalable data models and curated datasets in Azure Data Lake and related platforms to support self-service analytics.<br>• Contribute to AI-enabled business intelligence solutions using Databricks tools and lakehouse technologies.<br>• Partner with analytics stakeholders to translate reporting needs into technical solutions that are accurate, efficient, and maintainable.<br>• Support the evolution of reporting assets, including work associated with shifting Power BI-based reporting into Databricks environments.<br>• Monitor data quality, troubleshoot reporting issues, and optimize performance across dashboards, pipelines, and data assets.
<p>We are looking for a senior integration engineer with advanced Workday expertise and a strong foundation in enterprise integration design. This position focuses on building, refining, and resolving complex integrations between Workday and connected business systems. The role calls for a hands-on engineer who can work at the API and payload level, apply sound engineering judgment, and deliver reliable integration outcomes across multiple platforms.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain integrations that connect Workday with enterprise applications using APIs, web services, and workflow tools.</p><p>• Examine raw request and response data to identify failures, trace root causes, and implement durable fixes for integration issues.</p><p>• Create integration solutions that emphasize validation, predictable processing, resilient error handling, and clear audit visibility.</p><p>• Work closely with technical teams to support orchestration approaches involving Microsoft Power Automate and related automation platforms.</p><p>• Analyze Workday business process behavior, object relationships, and data dependencies to ensure accurate system interactions.</p><p>• Configure secure authentication and integration context settings that protect data and support reliable connectivity across systems.</p><p>• Build and enhance interfaces that respect system-of-record rules while enabling external platforms to coordinate downstream actions.</p><p>• Document technical designs, troubleshooting findings, and implementation decisions to support maintainability and operational readiness.</p>
We are looking for an experienced Azure platform engineering specialist to support enterprise-scale cloud capabilities. This long-term contract position focuses on shaping, enhancing, and sustaining Azure platform services that enable business-critical applications and technology initiatives. The role calls for a hands-on engineer who can work independently, partner with cross-functional teams, and deliver reliable, secure, and scalable Azure solutions across a broad technical landscape.<br><br>Responsibilities:<br>• Architect, implement, and support Azure platform services that meet enterprise application and infrastructure needs.<br>• Build and enhance Azure environments spanning network connectivity, gateway services, security controls, and container-based platforms.<br>• Develop and maintain Azure management capabilities to improve governance, consistency, and operational efficiency.<br>• Establish and support CI/CD workflows, DevOps practices, and repository standards to streamline platform delivery.<br>• Configure and optimize Azure monitoring solutions to strengthen availability, performance visibility, and incident response.<br>• Contribute to Azure AI and data platform initiatives, including support for modern AI-driven and data-centric services.<br>• Evaluate existing Azure implementations and introduce improvements that raise performance, stability, and functionality.<br>• Translate technical and business objectives into practical Azure platform designs and implementation plans.<br>• Partner with application, infrastructure, and security teams to resolve complex platform issues and support ongoing product delivery.
We are looking for a creative and strategic Content Creator to support a transport-focused brand in Pennsylvania. This Long-term Contract position blends content planning with hands-on production, offering the opportunity to shape messaging that strengthens brand visibility and audience engagement. The role works closely with marketing leadership to deliver compelling digital content across multiple channels while using performance insights to guide ongoing improvements.<br><br>Responsibilities:<br>• Build and carry out a content roadmap that supports broader marketing objectives, brand growth, and lead generation efforts.<br>• Create high-quality written and visual materials for digital campaigns, including articles, blog features, graphics, and video-based assets.<br>• Use customer and audience data to tailor messaging for distinct segments and improve content relevance across platforms.<br>• Apply search optimization best practices to published materials to increase discoverability and strengthen organic traffic performance.<br>• Organize and manage an editorial schedule to keep projects on track and ensure a steady cadence of content delivery.<br>• Review campaign and content metrics regularly, then adjust topics, formats, and distribution tactics based on performance trends.<br>• Partner with marketing leadership to align content initiatives with social media plans and maintain a consistent brand voice.<br>• Ensure all published materials reflect company standards, messaging priorities, and core brand identity.<br>• Stay informed on emerging content marketing techniques and industry developments to introduce fresh ideas and formats.
We are looking for an experienced Data Engineer to join our team in Illinois. This role is suited for a self-directed, technically strong individual who can navigate complex data challenges, influence architectural decisions, and contribute to stronger engineering standards across the team. The ideal candidate brings deep expertise in modern data technologies and a practical approach to building reliable, scalable solutions in a fast-moving environment.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that support large-volume processing and analytics needs.<br>• Take ownership of complex engineering initiatives from discovery through delivery, making sound technical decisions with minimal oversight.<br>• Develop and optimize distributed data solutions using technologies such as Apache Spark, Hadoop, and Kafka.<br>• Create robust ETL workflows that ensure data quality, consistency, and availability across multiple systems.<br>• Partner with cross-functional teams to define integration approaches, support API connectivity, and enable dependable data exchange.<br>• Improve system performance through testing, troubleshooting, and targeted optimization of data processing workloads.<br>• Contribute to architecture discussions by recommending effective patterns for scalable, maintainable data platforms.<br>• Support the broader engineering team by sharing knowledge, guiding technical best practices, and helping raise overall delivery quality.
We are looking for an experienced Data Engineer for a permanent opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up. <br> Responsibilities: • Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis. • Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization. • Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems. • Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets. • Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability. • Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions. • Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data. • Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.
We are looking for a Data Engineer to strengthen reporting and data capabilities for distribution operations in Minneapolis, Minnesota. In this role, you will turn information from sales, inventory, warehouse, vendor, and point-of-sale platforms into practical insights that support branch leaders, purchasing teams, and senior decision-makers. The position focuses on creating reliable data solutions that improve inventory planning, pricing visibility, and day-to-day operational performance across a multi-site distribution environment.<br><br>Responsibilities:<br>• Design, build, and maintain data pipelines that consolidate information from ERP, point-of-sale, warehouse, vendor, and sales systems.<br>• Develop dashboards and operational reports that help business teams monitor inventory movement, pricing performance, margin trends, and service levels.<br>• Write and optimize SQL queries to extract, validate, and transform data from platforms such as SQL Server, Postgres, and distribution-focused ERP systems.<br>• Partner with branch management, purchasing, and leadership teams to translate business questions into clear analytics and reporting solutions.<br>• Ensure data quality and consistency by investigating discrepancies, validating source data, and improving reporting logic across systems.<br>• Support analysis of inventory health by tracking metrics such as turns, fill rate, reorder thresholds, and safety stock performance.<br>• Produce insights that help identify opportunities to improve replenishment decisions, operational efficiency, and pricing accuracy across multiple branches or warehouses.<br>• Contribute to reporting and integration work involving business systems and connected commerce platforms when operational data needs evolve.
<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 seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business intelligence initiatives. The ideal candidate will have experience developing large-scale data pipelines, managing cloud-based data ecosystems, and implementing high-performance data solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain large-scale data processing systems and data pipelines. Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured data sources. Develop scalable solutions using distributed computing frameworks such as Apache Spark, Hadoop, and Kafka. Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support analytical and operational requirements. Integrate data from multiple internal and external systems while ensuring data quality and integrity. Design and implement cloud-native data solutions within AWS, Azure, or Google Cloud environments. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data platforms. Implement data governance, security, compliance, and access control standards. Support real-time and batch data processing requirements. Document architectures, workflows, and technical specifications to ensure operational excellence.
We are looking for a forward-deployed software engineer to strengthen customer-facing engineering efforts in King of Prussia, Pennsylvania. This role combines software development, operational support, and analytical problem-solving to improve how internal teams and customers interact with core systems. The ideal candidate brings strong backend engineering experience, a practical approach to automation, and the ability to turn technical challenges into reliable, scalable solutions.<br><br>Responsibilities:<br>• Create and enhance internal applications, scripts, and workflows that improve efficiency for customer-facing and engineering teams.<br>• Oversee the health of live systems, investigate irregular behavior, and address risks before they affect users or business operations.<br>• Examine operational and product data to uncover trends, support decision-making, and recommend meaningful improvements.<br>• Investigate customer-reported technical problems, determine root causes, and deliver timely, effective resolutions.<br>• Develop and release product enhancements driven by customer needs while maintaining quality and system stability.<br>• Partner closely with Customer Success, Sales Engineering, and Engineering to remove obstacles and support high-impact initiatives.<br>• Improve platform reliability and performance through thoughtful debugging, optimization, and ongoing maintenance.<br>• Stay informed on evolving technologies and engineering practices, applying new ideas where they add measurable value.