<p>We are looking for a skilled Data Engineer to design and enhance scalable data solutions that meet diverse business objectives. This role involves collaborating with cross-functional teams to identify data requirements, improve existing pipelines, and ensure efficient data processing. The ideal candidate will bring expertise in server-side development, database management, and software deployment, working in a dynamic and fast-paced environment.</p><p><br></p><p>Responsibilities</p><ul><li>Enhance and optimize existing data storage platforms, including relational and NoSQL databases, to improve data accessibility, performance, and persistence</li><li>Apply advanced database techniques such as tuning, indexing, views, and stored procedures to support efficient and reliable data management</li><li>Develop server-side Python services utilizing concurrency patterns such as asynchronous programming and multi-threading, and leveraging libraries such as NumPy and Pandas</li><li>Design, build, and maintain APIs using modern frameworks, with experience across communication protocols including gRPC and socket-based implementations</li><li>Create, manage, and maintain CI/CD pipelines using DevOps and artifact management tools to enable efficient and reliable software delivery</li><li>Design and deploy applications in enterprise Linux environments, ensuring stability, performance, and scalability</li><li>Partner with cross-functional teams to gather requirements and deliver technical solutions aligned with business objectives</li><li>Follow software development lifecycle best practices to ensure high-quality, maintainable, and secure solutions</li><li>Work effectively in iterative, fast-paced development environments while consistently delivering high-quality outcomes on schedule</li></ul><p><br></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>The Data Engineer role focuses on designing, building, and optimizing scalable data solutions that support diverse business needs. This position requires the ability to work independently while collaborating effectively in a fast-paced, agile environment. The individual in this role partners with cross-functional teams to gather data requirements, recommend enhancements to existing data pipelines and architectures, and ensure the reliability, performance, and efficiency of data processes.</p><p>Responsibilities</p><ul><li>Support the team’s adoption and continued evolution of the Databricks platform, leveraging features such as Delta Live Tables, workflows, and related tooling</li><li>Design, develop, and maintain data pipelines that extract data from relational sources, load it into a data lake, transform it as needed, and publish it to a Databricks-based lakehouse environment</li><li>Optimize data pipelines and processing workflows to improve performance, scalability, and overall efficiency</li><li>Implement data quality checks and validation logic to ensure data accuracy, consistency, and completeness</li><li>Create and maintain documentation including data mappings, data definitions, architectural diagrams, and data flow diagrams</li><li>Develop proof-of-concepts to evaluate and validate new technologies, tools, or data processes</li><li>Deploy, manage, and support code across non-production and production environments</li><li>Investigate, troubleshoot, and resolve data-related issues, including identifying root causes and implementing fixes</li><li>Identify performance bottlenecks and recommend optimization strategies, including database tuning and query performance improvements</li></ul>
<p>We are looking for an experienced Senior Data Engineer to join our team. This role involves designing and implementing scalable data solutions, optimizing data workflows, and driving innovation in data architecture. The ideal candidate will possess strong leadership qualities and a passion for problem-solving in a fast-paced, cutting-edge environment.</p><p><br></p><p>Responsibilities:</p><p>• Develop high-performance data systems, including databases, APIs, and data integration pipelines, to support scalable solutions.</p><p>• Design and implement metadata-driven architectures and automate deployment processes using infrastructure-as-code principles.</p><p>• Promote best practices in software engineering, such as code reviews, testing, and continuous integration/delivery (CI/CD).</p><p>• Establish and maintain a robust data governance framework to ensure compliance and data integrity.</p><p>• Monitor processes and implement improvements, including query optimization, code refactoring, and efficiency enhancements.</p><p>• Leverage cloud platforms, particularly Azure and Databricks, to improve system architecture and scalability.</p><p>• Conduct data quality checks and build procedures to address and resolve data issues effectively.</p><p>• Create and maintain documentation for data architecture, standards, and best practices.</p><p>• Provide technical leadership to the team, guiding design discussions and fostering innovation in data infrastructure.</p><p>• Identify and implement opportunities for process optimization and automation to improve operational efficiency.</p>
<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>
<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 seeking a highly skilled Scientific Data Scientist or Software Engineer with a strong academic foundation and hands-on experience developing scientific software. The ideal candidate combines deep STEM expertise with rigorous coding ability, and has a demonstrated track record of integrating, evaluating, and advancing scientific software systems. <br> Technical Skills Fluent proficiency in Python (required). Strong ability to design, implement, and maintain scientific software applications and codebases—beyond general AI/ML model development. Experience contributing to third-party or open-source scientific software projects.
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 Reporting Analyst to join our team in Philadelphia, Pennsylvania. This long-term contract position offers an exciting opportunity to support healthcare operations by transforming data into actionable insights. As part of this role, you will leverage your expertise in business intelligence and reporting tools to contribute to the success of our organization.<br><br>Responsibilities:<br>• Develop and maintain data reports using tools such as BusinessObjects and Microsoft SQL to meet business needs.<br>• Analyze complex datasets to uncover trends and provide actionable insights to stakeholders.<br>• Collaborate with teams across the organization to understand reporting requirements and deliver accurate solutions.<br>• Utilize Python and other programming languages to automate data processes and enhance reporting capabilities.<br>• Work with Erwin Data and other modeling tools to design and optimize data structures.<br>• Ensure the integrity and accuracy of data used for reporting and analysis.<br>• Support Epic Hospital Billing systems by generating reports and resolving data-related issues.<br>• Implement business intelligence strategies to improve decision-making processes.<br>• Troubleshoot and resolve issues related to reporting tools and data systems.<br>• Document reporting processes and maintain up-to-date technical specifications.
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.
We are looking for an experienced and driven AI Coordinator to join our team in Philadelphia, Pennsylvania. As part of a leading real estate investment company, you will be instrumental in integrating AI technologies across our organization, ensuring their optimal use while addressing ethical considerations. This is a long-term contract position offering the opportunity to make a significant impact on our workflows and processes.<br><br>Responsibilities:<br>• Implement AI solutions across various departments to improve efficiency and performance.<br>• Collaborate with team members to identify opportunities for AI integration and enhancement.<br>• Design and lead workshops to educate staff on effective AI applications.<br>• Evaluate the effectiveness of AI systems and recommend improvements based on findings.<br>• Conduct experiments to compare different AI strategies and approaches.<br>• Address and resolve technical issues related to AI systems.<br>• Develop and enforce policies to ensure secure and ethical use of AI technologies.<br>• Safeguard proprietary data and ensure compliance with privacy guidelines.<br>• Assist in creating guidelines for unbiased, accurate, and efficient use of AI tools.
<p>We are looking for an experienced Health & Safety Manager to join our team. In this long-term contract position, you will play a critical role in driving environmental sustainability and occupational health and safety initiatives. The ideal candidate will bring expertise in compliance, reporting frameworks, and safety standards to help us achieve our corporate goals.</p><p><br></p><p>Responsibilities:</p><p>• Implement and maintain environmental and occupational health and safety processes in alignment with ISO 14001 and ISO 45001 standards.</p><p>• Conduct internal audits, prepare detailed reports, and oversee the closure of any identified findings.</p><p>• Collaborate with stakeholders to deploy new initiatives and ensure adherence to legal compliance requirements.</p><p>• Monitor and report environmental and safety performance data, ensuring accuracy and completeness.</p><p>• Analyze regional performance data and conduct benchmarking to identify opportunities for improvement.</p><p>• Facilitate inspections to identify gaps in compliance and drive corrective actions.</p><p>• Represent the organization in discussions related to sustainability and safety with external stakeholders.</p><p>• Manage environmental databases and ensure accurate data recording and monitoring.</p><p>• Drive initiatives to monitor and report carbon footprint annually, contributing to sustainability goals.</p><p>• Coordinate activities across regional teams to ensure consistent implementation of safety and sustainability standards</p>
