<p><strong>Work Mix:</strong> ~80–90% lab / ~10–20% field</p><p>Overview</p><p>We’re seeking a hands-on Wireless Lab Test Engineer III to support device, stack, and protocol testing across Wi‑Fi and 4G/5G. This role is lab-heavy and centers on call flow analysis (RRC/NAS/IMS), log collection/triage, test reporting, and KPI evaluation. You’ll work with iOS and Android devices, capture/analyze traces with industry tools, and clearly communicate defects and insights to cross-functional partners (including OEMs/chipset teams as needed).</p><p><br></p><p>What You’ll Do</p><ul><li>Create, execute, and maintain manual-first test cases for Wi‑Fi + LTE/5G device and protocol behavior; contribute to automation over time.</li><li>Validate 4G/LTE and 5G (SA/NSA; mmWave exposure a plus) protocol stack behavior, including call/message flows.</li><li>Perform device/stack/protocol testing on iOS and Android devices in a lab environment; support light field testing as needed.</li><li>Capture and analyze logs/traces (e.g., QXDM/QCAT, XCAL/XCAP) and summarize findings with clear, concise defect narratives.</li><li>Evaluate and report test KPIs; produce test reports that are accurate, reproducible, and stakeholder-friendly.</li><li>Triage issues: isolate root cause indicators at the signaling level and communicate findings to internal teams and external partners (OEMs/chipset makers).</li><li>Manage day-to-day lab activities, configurations, devices, and network simulator setups (e.g., Keysight UXM).</li><li>Collaborate with test engineers and product/engineering partners; operate with ownership and minimal hand-holding.</li></ul><p><br></p>
We are looking for an experienced Senior Software Engineer to join our team in Fort Washington, Pennsylvania. In this role, you will focus on developing controller software for advanced semiconductor packaging equipment, contributing to real-time solutions for motion control, image processing, and precision pick-and-place operations. This is a contract-to-permanent position offering a dynamic environment to work on cutting-edge technology and innovative projects.<br><br>Responsibilities:<br>• Analyze and refine requirements for new and existing software features.<br>• Design and implement high-quality software solutions using C++ and object-oriented programming principles.<br>• Conduct thorough testing of developed software to ensure functionality and reliability.<br>• Collaborate with cross-functional teams during the development cycle to enhance product performance.<br>• Provide technical support for equipment demonstrations, qualifications, and buyoffs at customer sites, both domestically and internationally.<br>• Develop and debug software in simulations as well as on physical machines in an engineering lab environment.<br>• Participate in agile, scrum-based team activities to deliver on project goals.<br>• Contribute to troubleshooting and debugging complex systems to optimize functionality.<br>• Work closely with engineers across multiple departments to ensure seamless integration of software components.<br>• Maintain consistent documentation of software development processes and solutions.
<p>We are looking for a skilled Data Warehouse Engineer to join our team in Malvern, Pennsylvania. This Contract-to-Permanent position offers the opportunity to work with cutting-edge data technologies and contribute to the optimization of data processes. The ideal candidate will have a strong background in Azure and Snowflake, along with experience in data integration and production support. This role is 4-days onsite a WEEK, with no negotiations. Please apply directly if you're interested.</p><p><br></p><p>Responsibilities:</p><p>• Develop, configure, and optimize Snowflake-based data solutions to meet business needs.</p><p>• Utilize Azure Data Factory to design and implement efficient ETL processes.</p><p>• Provide production support by monitoring and managing data workflows and tasks.</p><p>• Extract and analyze existing code from Talend to facilitate system migrations.</p><p>• Stand up and configure data repository processes to ensure seamless performance.</p><p>• Collaborate on the migration from Talend to Azure Data Factory, providing expertise on best practices.</p><p>• Leverage Python scripting to enhance data processing and automation capabilities.</p><p>• Apply critical thinking to solve complex data challenges and support transformation initiatives.</p><p>• Maintain and improve Azure Fabric-based solutions for data warehousing.</p><p>• Work within the context of financial services, ensuring compliance with industry standards.</p>
We are looking for a skilled Data Engineer to join our team in Philadelphia, Pennsylvania. In this long-term contract position, you will play a key role in managing and optimizing large-scale data pipelines and systems within the healthcare industry. Your expertise will contribute to the development of robust solutions for data processing, analysis, and integration.<br><br>Responsibilities:<br>• Design, develop, and maintain large-scale data pipelines to support business needs.<br>• Optimize data workflows using tools such as Apache Spark and Python.<br>• Implement and manage ETL processes for seamless data transformation and integration.<br>• Collaborate with cross-functional teams to ensure data solutions align with organizational goals.<br>• Monitor and troubleshoot data systems to ensure consistent performance and reliability.<br>• Work with Apache Hadoop and Apache Kafka to enhance data storage and streaming capabilities.<br>• Ensure compliance with data security and privacy standards.<br>• Analyze and interpret complex datasets to provide actionable insights.<br>• Document processes and solutions to support future scalability and maintenance.
<p>Job Summary</p><p>We are seeking a motivated and analytical Data Analyst to support product quality, device performance, and customer experience improvements across a large consumer device ecosystem. In this role, you will help drive data‑informed decisions by analyzing telemetry, reliability KPIs, and customer satisfaction trends. You’ll collaborate closely with engineering, operations, and customer experience teams to ensure data accuracy, generate actionable insights, and support strategic initiatives that help enhance overall device reliability.</p><p>This role is ideal for someone who thrives in cross‑functional environments, enjoys solving complex problems, and can translate data into compelling, executive‑ready insights.</p><p><br></p><p>Key Responsibilities</p><ul><li>Analyze device performance data, reliability KPIs, telemetry metrics, and CSAT feedback to identify improvement opportunities.</li><li>Support key initiatives related to error tracking, ticket resolution trends, and release impact assessments.</li><li>Partner with stakeholders across engineering, operations, and customer experience to align priorities and ensure timely delivery of insights.</li><li>Create compelling presentations and executive‑level decks to communicate data findings and recommendations.</li><li>Participate in working groups tackling high‑impact reliability issues, contributing to root cause analysis and solution tracking.</li><li>Assist in expanding global data capabilities through improved data access, partnerships, and data enablement initiatives.</li></ul>
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>We are seeking detail-oriented and analytical Entry Level Financial Data Analysts to support large-scale financial data and communications review initiatives. This role involves analyzing, annotating, and interpreting structured and unstructured financial data—including written and voice-based communications—to help build and enhance advanced data models and monitoring systems.</p><p><br></p><p>This position is ideal for recent graduates with strong academic backgrounds in finance-related disciplines who are interested in financial markets, data analysis, and emerging financial technologies.</p><p><br></p><p>Key Responsibilities</p><ul><li>Review, classify, and annotate financial communications to accurately identify transaction intent and key financial details.</li><li>Analyze written and voice-based financial content to extract structured insights from unstructured data.</li><li>Transcribe and annotate recorded communications with a high degree of accuracy.</li><li>Evaluate financial transactions and instruments, including options, swaps, forwards, and other derivatives.</li><li>Identify financial, trading, or compliance-related elements within communications and datasets.</li><li>Support the development and validation of high-quality training datasets for automated data extraction and monitoring systems.</li><li>Perform detailed quality checks to ensure data integrity, consistency, and accuracy.</li><li>Utilize Microsoft Excel (pivot tables, VLOOKUP/XLOOKUP, formulas) to organize, analyze, and report findings.</li><li>Maintain productivity and precision in a deadline-driven, remote work environment.</li></ul>
<p>Model Development & Maintenance</p><p> • Develop and maintain actuarial models and data-driven processes using Python, R, and SQL to support insurance pricing, reserving, and risk management.</p><p> • Implement and enhance month-end processes, rate change calculations, and ad-hoc analyses with a focus on completeness, accuracy, and consistency to ensure data is of the highest quality.</p><p> • Work with the Actuarial and Financial Planning and Analysis (FP& A) teams to automate and improve model performance using Python-based scripting and automation.</p><p> • Ensure accuracy, consistency, and efficiency of actuarial models and methodologies.</p><p> Traditional Actuarial Tasks</p><p> • Support reserving analysis to estimate unpaid claim liabilities primarily in partnership with internal and external actuaries.</p><p> • Develop and maintain loss development triangles and incurred but not reported (IBNR) calculations both based on financial and operational data (e.g., claims closing ratios).</p><p> • Support the development and validation of actuarial assumptions for pricing, reserving, and forecasting.</p><p> • Develop and regularly report on rate change calculations including bifurcation of exposure changes from pure rate by line of business.</p><p> Financial Modeling & Risk Assessment</p><p> • Conduct stress testing and scenario analysis to assess financial impacts.</p><p> • Develop, update, and maintain models for predictive analytics, profitability analysis, and business planning.</p><p> • Assist in forecasting financial performance and evaluating risk exposure.</p><p> </p><p> </p>
We are looking for a skilled Data Scientist to join our team on a contract with the potential for a permanent position in Edison, New Jersey. This hybrid role requires working on-site two days a week, collaborating with stakeholders to develop and implement AI-driven solutions. Ideal candidates will have expertise in data strategy, AI technologies, and tools such as Databricks and Informatica.<br><br>Responsibilities:<br>• Develop and implement AI-driven use cases that align with organizational goals and objectives.<br>• Design and optimize data strategies using platforms like Databricks and Informatica.<br>• Collaborate with cross-functional teams, including data engineers and business stakeholders, to create scalable AI/ML solutions.<br>• Evaluate and enhance data pipelines to ensure efficient deployment of AI models.<br>• Stay informed on the latest AI advancements and recommend innovative approaches to improve business operations.<br>• Provide guidance on data governance, ensuring adherence to best practices for data quality and security.<br>• Analyze business challenges and translate them into actionable AI solutions that drive results.<br>• Support the integration of advanced analytics frameworks into existing systems and processes.
We are looking for a highly skilled Data Scientist to contribute to a long-term contract position within the healthcare industry. This role focuses on supporting the enterprise-wide launch of Power BI by creating and delivering engaging, high-quality learning materials. The ideal candidate will work remotely, collaborating closely with leadership and subject matter experts to empower analytics and non-analytics professionals to efficiently use Power BI in their daily tasks.<br><br>Responsibilities:<br>• Develop scalable learning experiences tailored to diverse user personas and varying levels of technical expertise.<br>• Collaborate with the data literacy program team and Power BI specialists to ensure instructional content aligns with program objectives.<br>• Translate complex concepts related to Power BI and business intelligence into accessible and engaging educational materials.<br>• Design and deliver training programs using instructional design best practices and tools such as Camtasia, Adobe Creative Suite, or Articulate.<br>• Conduct user interviews to understand learning challenges and tailor content to meet specific needs.<br>• Enhance or create new data literacy resources, such as courses, modules, and curricula, to address emerging needs and best practices.<br>• Evaluate and adapt existing educational materials to make them sustainable and applicable across the organization.<br>• Participate in marketing efforts for the Data Literacy Program, including speaking engagements, blog posts, and other creative channels.<br>• Identify opportunities for new program initiatives that support analytics tools and data literacy.<br>• Serve as a subject matter expert in data literacy on national platforms through networking and conference participation.
We are looking for a skilled Data Analyst with expertise in marketing analytics and reporting to join our team on a long-term contract basis. This role will focus on transforming data from various digital marketing channels into actionable insights that drive strategic decision-making. Based in Somerville, New Jersey, you will collaborate with cross-functional teams to optimize campaign performance and user experience through data-driven solutions.<br><br>Responsibilities:<br>• Design and manage dashboards and reports using tools such as Power BI, Tableau, or Looker to monitor key performance indicators across marketing initiatives.<br>• Utilize SQL and Python to extract, clean, and analyze large datasets from multiple sources, including websites and advertising platforms.<br>• Conduct audits of website and organic search health using tools like Screaming Frog, identifying opportunities to enhance visibility and traffic.<br>• Analyze user behavior through platforms like HotJar to uncover UX insights and recommend actionable improvements.<br>• Collaborate with teams to define measurement requirements and implement effective tracking solutions.<br>• Develop and maintain scalable LookML models and explore layers in Looker to support self-service reporting.<br>• Provide regular summaries of campaign performance, including forecasting models and data analyses, to stakeholders.<br>• Automate routine reporting processes to ensure efficient and consistent data delivery.<br>• Present complex data findings in visually compelling formats, translating them into practical recommendations for marketing strategies.
