Manage drawings and models for MP Filtri must be eligible to work in the U.S.. Create drawings and models for products not currently completed Design custom tooling/modifications and machinery Work with key customers on engineering changes for MP Filtri Products/Create MP Filtri specific drawings of new and updated custom products. Provide support for customer service and regional sales team on hydraulic applications and technical Perform First Article inspections on new products. Enter new Item loads along with 2D and 3D CAD drawings Help to develop internal engineering processes and procedures in our new ERP D365 Perform testing and failure analysis of parts and prepare reports on findings in conjunction with quality team Organize and maintain all engineering resources, digital and hardcopy formats. Help drive continuous improvement in engineering, quality, and manufacturing areas.
We are looking for a skilled Systems Engineer to join our team in Philadelphia, Pennsylvania. In this role, you will leverage your expertise in system architecture and cloud technologies to design, implement, and maintain robust solutions that drive operational efficiency. This is a long-term contract position offering the opportunity to work in a dynamic healthcare environment.<br><br>Responsibilities:<br>• Manage and optimize Active Directory and Azure Active Directory environments to ensure seamless access and security.<br>• Configure and maintain Microsoft Windows Server systems to support business-critical applications.<br>• Implement and support Citrix technologies, enabling efficient virtualization and remote access solutions.<br>• Administer cloud platforms such as AWS to enhance scalability and infrastructure reliability.<br>• Oversee database management tasks for systems using MySQL, MariaDB, and PostgreSQL.<br>• Develop and deploy automation scripts using tools like Ansible, Bash, and Python to streamline processes.<br>• Utilize Docker and Kubernetes for containerization and orchestration of applications.<br>• Collaborate with cross-functional teams to integrate ServiceNow applications and support Agile workflows.<br>• Monitor and troubleshoot network load balancing to ensure optimal performance.<br>• Maintain version control and code repositories using Git Stash.
We are looking for an experienced Network Engineer to join our team on a long-term contract basis. This role is based in New York, New York, and requires an experienced, detail-oriented individual with expertise in network architecture, troubleshooting, and system optimization. The ideal candidate will thrive in a dynamic environment, working independently while contributing to the success of critical network operations.<br><br>Responsibilities:<br>• Provide advanced oversight and management of network systems to ensure seamless operations.<br>• Collaborate on the design and implementation of network architecture, offering guidance on complex escalations.<br>• Develop and refine helpdesk systems, incorporating automation to enhance efficiency.<br>• Participate in occasional night migrations and ensure the successful execution of these activities.<br>• Operate autonomously, demonstrating strong problem-solving skills and minimal need for supervision.
<p>We are looking for a motivated entry-level Operations Engineer to join our team in Secaucus, NJ . In this role, you will collaborate with experienced engineers to maintain and enhance mission-critical, low-latency trading systems. This position offers an excellent opportunity to develop technical skills in system administration, networking, and automation while contributing to the operational success of our platform.</p><p><br></p><p>Responsibilities:</p><p>• Monitor and maintain the performance of low-latency trading systems to ensure seamless operation.</p><p>• Assist in resolving incidents by troubleshooting issues and minimizing system downtime in collaboration with senior team members.</p><p>• Perform essential operational tasks such as system monitoring, log analysis, and routine maintenance.</p><p>• Develop and implement automation scripts and tools to enhance operational efficiency.</p><p>• Gain hands-on experience with Linux/Unix system administration and networking technologies.</p><p>• Contribute to the creation and upkeep of detailed documentation for systems and processes.</p><p>• Participate in rotational weekend work to ensure system reliability and availability.</p><p>• Travel occasionally to the data center as required for hardware or system maintenance tasks.</p>
We are looking for an experienced Data Engineer to join our team in Newtown Square, Pennsylvania. In this long-term contract position, you will play a pivotal role in designing and implementing robust data solutions to support organizational goals. This is an exciting opportunity to lead the development of modern data architectures and collaborate with diverse teams to drive impactful results.<br><br>Responsibilities:<br>• Lead the implementation of an enterprise Snowflake data lake, ensuring timely delivery and optimal performance.<br>• Oversee the integration of multiple data sources, including Oracle Financials, PostgreSQL, and Salesforce, into a unified data platform.<br>• Collaborate with finance teams to facilitate a transition to a 12-month accounting calendar and support accelerated financial close processes.<br>• Develop and maintain multi-source analytics dashboards to enhance operational insights and decision-making.<br>• Manage day-to-day operations of the Snowflake platform, focusing on performance tuning and cost optimization.<br>• Ensure data quality and reliability, providing business users with a trustworthy platform.<br>• Document architectural designs, data workflows, and operational procedures to support sustainable data management.<br>• Coordinate with external vendors to meet project deadlines and ensure successful implementations.
We are looking for a skilled Data Engineer to join our team in Wayne, Pennsylvania, on a contract to permanent basis. This role offers an exciting opportunity to design, implement, and optimize data pipelines while integrating applications with various digital marketplaces. The ideal candidate will bring strong technical expertise and a collaborative mindset to support business insights and analytics effectively.<br><br>Responsibilities:<br>• Develop and maintain data pipelines and ensure seamless application connectivity with digital marketplaces such as TikTok Shop, Shopify, and Amazon.<br>• Collaborate closely with business teams to understand requirements and provide actionable analytics.<br>• Lead the creation of scalable and efficient data solutions tailored to business needs.<br>• Apply expertise in Python, Snowflake, and other relevant technologies to deliver high-quality results.<br>• Facilitate and support integrations with e-commerce platforms, leveraging previous experience where applicable.<br>• Build robust APIs and ensure their effective implementation.<br>• Utilize Microsoft SQL for database management and optimization.<br>• Provide technical guidance and mentorship to ensure project success.<br>• Troubleshoot and resolve issues related to data workflows and integrations.<br>• Continuously evaluate and improve processes to enhance efficiency and performance.
<p>The Dental Imaging Equipment Engineer serves as a <strong>principal-level technical authority</strong> and organizational subject matter expert responsible for the most complex, high-risk, and mission‑critical dental equipment service activities.</p><p>The Engineer IV will report to Customer Service Director and will acts as the <strong>2nd highest escalation point</strong> for unresolved technical issues, leads enterprise‑level initiatives, and shapes service standards, training programs, and best practices. In addition to mentoring and coaching Engineer I–III staff, this role influences long‑term service strategy, supports new technology introductions, and represents the organization as a senior technical expert with customers and vendors.</p><p><strong> </strong></p><p><strong>Key Responsibilities</strong></p><ul><li>Serve as the highest‑level technical expert and final escalation point for the most complex, high‑risk, or repeat‑failure equipment issues</li><li>Lead diagnosis and resolution of systemic or enterprise‑wide equipment performance problems</li><li>Provide expert‑level installation, validation, and troubleshooting for advanced or newly released medical and dental technologies</li><li>Direct and oversee critical installations, upgrades, retrofits, and large‑scale remediation efforts</li><li>Develop, review, and standardize advanced service procedures, troubleshooting guides, and technical documentation</li><li>Partner with engineering, quality, and product development teams to influence design improvements, reliability enhancements, and serviceability</li><li>Analyze service data and trends to identify root causes, recurring failures, and opportunities for preventive solutions</li><li>Lead continuous improvement initiatives that enhance service efficiency, quality, safety, and customer satisfaction</li><li>Serve as technical lead for pilot programs, beta deployments, or early‑stage product introductions</li><li>Represent the organization as a senior technical authority in customer meetings, audits, and high‑visibility service engagements</li><li>Provide advanced technical mentoring and coaching to Medical Equipment Engineer I, II, and III staff</li><li>Design and deliver advanced technical training, certifications, and knowledge‑sharing sessions</li><li>Advise management on technical strategy, resource planning, skills development, and service readiness</li><li>Ensure compliance with regulatory, safety, and quality standards across all service activities</li><li>Travel extensively as required (including extended or multi‑site assignments) and provide leadership during complex service engagements</li><li>Ensure safe handling, transport, setup, and operation of equipment (up to 50 lbs.)</li><li>Perform other duties as assigned by management</li></ul><p><strong>Leadership & Influence Responsibilities</strong></p><ul><li>Provides technical leadership across the service organization without necessarily having direct people‑management responsibility</li><li>May provide functional or dotted‑line leadership to Engineer I–III staff on projects or escalations</li><li>Acts as a trusted technical advisor to service management and cross‑functional leaders</li><li>Contributes to succession planning, skills assessments, and technical competency frameworks</li></ul>
We are looking for a skilled Palantir AI Engineer to join our team in New York, New York. In this role, you will leverage your expertise in Palantir Foundry to design and implement advanced data solutions and decision-support systems. This position requires a hands-on approach to building scalable AI-powered applications that address complex business challenges across various industries.<br><br>Responsibilities:<br>• Design and maintain data integration pipelines using Palantir Foundry tools such as Code Repositories, Transform, and Contour.<br>• Develop and refine ontologies, object models, and workflows to support operational decision-making.<br>• Build full-stack applications utilizing Palantir Foundry’s frameworks, including Slate and Quiver.<br>• Automate processes for data ingestion, transformation, governance, and lineage tracking.<br>• Integrate machine learning models and large language models into Foundry pipelines to enhance decision systems.<br>• Create intelligent workflows that facilitate real-time or near-real-time decision-making.<br>• Collaborate with enterprise users and technical teams to define requirements and develop scalable architectures.<br>• Translate high-level business challenges into actionable engineering solutions.<br>• Lead engineering initiatives through all phases, from design to deployment and iteration.<br>• Provide technical leadership and guidance across data and AI projects.
<p>We are looking for an experienced ServiceNow Architect/Engineer. In this role, you will lead the implementation and optimization of ServiceNow modules, with a focus on Enterprise Architecture capabilities. This is a long-term contract position offering opportunities to work with cutting-edge technologies and drive impactful solutions.</p><p><br></p><p>Responsibilities:</p><p>• Lead the implementation of ServiceNow Enterprise Architecture products, including application, technology, and information portfolio management.</p><p>• Align resources with organizational goals and streamline processes using ServiceNow modules.</p><p>• Optimize Service Portfolio Management, including business services, technology services, and service offerings.</p><p>• Oversee the implementation and enhancement of Digital Portfolio Management within ServiceNow.</p><p>• Integrate Service Mapping concepts, including tag-based mapping, into operational workflows.</p><p>• Manage and utilize foundational data within the ServiceNow platform, such as users, groups, and reference data.</p><p>• Develop and enhance integrations between ServiceNow and external systems using APIs and robust transformation techniques.</p><p>• Create workflows, scripted APIs, and perform development activities to customize ServiceNow solutions.</p><p>• Collaborate with cross-functional teams to ensure alignment with enterprise architecture objectives.</p><p>• Provide technical expertise to support the operationalization of Enterprise Architecture capabilities.</p>
<p><strong>Machine Learning Engineer II </strong>(Contract)</p><p><strong>Location: </strong>Hybrid – Philadelphia, PA <strong>or </strong>Washington, DC | Onsite 3–4 days per week</p><p><strong>Assignment Length:</strong> 38 Weeks, Potential for Extension</p><p><strong>Position Overview</strong></p><p>We are seeking a <strong>Research / Machine Learning Engineer II</strong> to support advanced AI/ML initiatives across large-scale consumer-facing platforms, including Search, Browse, Personalization, Campaign Management, and Voice/NLP technologies. This role is heavily focused on <strong>model validation, quality, and automation</strong>, with an emphasis on building and enhancing machine learning models that validate and support AI-driven tools developed by engineering teams.</p><p>The ideal candidate brings a strong quality mindset, hands-on experience with machine learning models, and a deep interest in testing and validating large language models (LLMs) and AI systems in production-like environments.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, and enhance <strong>machine learning models primarily used for validation and quality assurance</strong> of AI/ML-driven tools.</li><li>Develop models that assist in testing, validating, and improving automation frameworks used by engineering and tooling teams.</li><li>Enhance and support existing AI/ML automation tools, including those working with <strong>speech and NLP data</strong>.</li><li>Implement <strong>prompt-based interactions with Large Language Models (LLMs)</strong> to support validation and test use cases.</li><li>Research, evaluate, and experiment with various ML models across multiple domains to determine best-fit solutions.</li><li>Contribute software development efforts toward <strong>proof-of-concept initiatives</strong> in AI/ML, NLP, and related strategic areas (e.g., Computer Vision where applicable).</li><li>Collaborate closely with cross-functional engineering, tooling, and SDET teams across multiple locations.</li><li>Support and mentor engineering teams by promoting modern software development, data practices, and quality-driven AI development.</li><li>Ensure AI/ML solutions meet expectations for <strong>performance, reliability, scalability, and product quality</strong>.</li></ul>
We are looking for an experienced DevOps Engineering Manager to lead platform and automation efforts in Fort Washington, Pennsylvania. This role will guide a team responsible for improving software delivery, strengthening infrastructure reliability, and advancing cloud operations across modern engineering environments. The ideal candidate brings a blend of people leadership and technical depth, with the ability to shape DevOps practices that support scalable, secure, and efficient product delivery.<br><br>Responsibilities:<br>• Guide and develop a DevOps team by promoting ownership, continuous learning, and strong engineering practices across day-to-day operations.<br>• Create and implement a plan to elevate operational capabilities, helping team members grow into modern DevOps-focused roles.<br>• Work closely with engineering, product, and business leaders to align platform investments with delivery objectives and organizational priorities.<br>• Establish and advance DevOps standards across continuous integration, deployment automation, observability, reliability, and security practices.<br>• Design, enhance, and scale CI/CD pipelines to support dependable, repeatable, and efficient software releases across multiple teams.<br>• Lead the adoption of infrastructure as code using tools such as Terraform, Ansible, CloudFormation, Terragrunt, or Bicep to improve consistency and governance.<br>• Oversee cloud infrastructure strategy across Azure and AWS, ensuring environments are secure, resilient, and capable of supporting high-traffic digital experiences.<br>• Define and monitor operational and delivery metrics to improve deployment performance, system uptime, incident response, and overall engineering efficiency.<br>• Drive cloud cost awareness and optimization efforts by partnering with finance and technical stakeholders to improve visibility and resource utilization.<br>• Strengthen production readiness through effective monitoring, alerting, incident management, and the integration of DevSecOps principles into pipelines and infrastructure.
<p>Job Summary</p><p>We are seeking a <strong>Machine Learning Engineer</strong> to design, build, validate, and deploy machine learning solutions that support products and applications in a production environment. This role focuses on the full ML lifecycle—from data pipelines and model training to validation, deployment, monitoring, and documentation—working closely with cross‑functional teams to deliver scalable, reliable solutions.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, implement, refine, and validate machine learning algorithms for products and applications</li><li>Design and develop robust data pipelines, including data ingestion, validation, cleaning, and monitoring</li><li>Train machine learning models; validate model accuracy and performance prior to deployment</li><li>Deploy validated machine learning models into production environments and support ongoing monitoring</li><li>Design proof‑of‑concept (POC) solutions and contribute to studies supporting future product or application development</li><li>Test and evaluate machine learning solutions; complete case studies, testing, and reporting</li><li>Research, write, and maintain technical documentation, including:</li><li>Evaluation plans</li><li>Confluence pages</li><li>White papers and presentations</li><li>Test results, technical manuals, and formal recommendations</li><li>Collaborate with teams outside the immediate work group and represent the team when addressing technical issues related to assigned projects</li></ul><p><br></p>
We are looking for a skilled Security Engineer IV to join our team on a long-term contract basis in Philadelphia, Pennsylvania. This role focuses on enhancing cybersecurity practices, ensuring compliance with security policies, and developing innovative solutions to protect network systems. The ideal candidate will possess a strong technical background in network security, risk management, and Agile methodologies.<br><br>Responsibilities:<br>• Collaborate with program managers to define product vision and plan security-related initiatives.<br>• Ensure evidence collection processes are conducted, managed, and archived according to established guidelines to preserve data integrity.<br>• Identify areas for improvement and recommend changes to enhance security protocols.<br>• Perform complex updates and routine maintenance for security products.<br>• Respond to security incidents and provide advanced support for help desk tickets.<br>• Manage relationships with internal business units, customers, suppliers, and stakeholders to uphold security standards.<br>• Conduct risk assessments and apply risk management principles to strengthen security measures.<br>• Review and monitor security logs to identify and address potential violations.<br>• Develop and implement policies to align with cybersecurity best practices.<br>• Contribute to the secure software development lifecycle, including DevOps processes.
<p>Are you passionate about next-generation data engineering, AI, and modern cloud technologies? Our company is seeking an innovative and driven Snowflake Solutions Engineer to join our IT team in a fully remote capacity. In this role, you will lead the design and implementation of advanced Snowflake-native applications and AI-powered data solutions, creating measurable business impact utilizing Snowflake’s latest platform features. This is an exceptional opportunity to work at the forefront of data, leveraging Streamlit, Cortex AI, and emerging Snowflake technologies.</p><p><strong>Key Responsibilities:</strong></p><p><strong>Snowflake Native Application Development (30%)</strong></p><ul><li>Design and build interactive data applications using Snowflake Streamlit to enable intuitive, self-service analytics and operational workflows for business users.</li><li>Develop reusable frameworks and component libraries for rapid application delivery.</li><li>Integrate Snowflake Native Apps and third-party marketplace applications to continuously extend platform capabilities.</li><li>Create custom UDFs and stored procedures to support advanced business logic.</li></ul><p><strong>Data Architecture and Modern Platform Design (30%)</strong></p><ul><li>Develop cutting-edge data architecture solutions spanning data warehousing, data lakes, and lakehouse approaches.</li><li>Implement medallion (bronze-silver-gold) patterns to maintain data quality and governance.</li><li>Recommend optimal architecture patterns for structured analytics, semi-structured data, and AI/ML workloads.</li><li>Establish best practices for data organization, storage optimization, and query performance.</li></ul><p><strong>AI & Advanced Analytics Collaboration (15%)</strong></p><ul><li>Partner with AI/data science teams to support and enhance Snowflake-based AI workloads.</li><li>Enable implementation of Snowflake Cortex AI features for practical business cases.</li><li>Guide data access and feature engineering for ML model requirements.</li><li>Contribute platform expertise to AI proof-of-concept initiatives.</li></ul><p><strong>Security, Governance, & Technical Leadership (15%)</strong></p><ul><li>Design and implement RBAC hierarchies, enforcing least privilege principles.</li><li>Define security best practices including network policies and encryption; implement row/column security and data masking.</li><li>Apply tag-based policies for advanced governance.</li><li>Monitor and optimize application performance, cost, and user experience.</li><li>Lead architectural discussions, create technical documentation, and share best practices.</li></ul><p><br></p>