<p>Our client is seeking a Cloud Infrastructure Engineer to manage and optimize cloud environments while supporting scalability, security, and operational excellence. This position will play a key role in cloud modernization initiatives and infrastructure automation.</p><p>Responsibilities</p><ul><li>Design, deploy, and support Azure and/or AWS cloud infrastructure.</li><li>Manage cloud networking, security groups, identity solutions, and storage resources.</li><li>Implement infrastructure-as-code and automation solutions.</li><li>Monitor cloud performance, availability, and security posture.</li><li>Support cloud migrations and modernization projects.</li><li>Collaborate with DevOps, security, and application teams.</li><li>Troubleshoot production cloud environments and resolve incidents.</li><li>Maintain disaster recovery and business continuity strategies.</li></ul><p><br></p>
<p>Our client is seeking a Data Warehouse Engineer to support the design, development, and optimization of modern enterprise data platforms. This position will play a key role in building scalable data solutions for reporting, analytics, and business intelligence initiatives.</p><p>Responsibilities</p><ul><li>Design and develop ETL/ELT pipelines</li><li>Build and maintain enterprise data warehouses and data marts</li><li>Optimize SQL queries and data models for performance</li><li>Work with business stakeholders to deliver reporting solutions</li><li>Support Power BI, Tableau, or similar analytics platforms</li><li>Ensure data quality, integrity, and governance standards</li></ul><p><br></p>
<p>Robert Half is building relationships with experienced Backend Software Engineers interested in potential opportunities supporting financial technology platforms, payment processing systems, and enterprise transaction services.</p><p>We are looking to connect with engineers who understand the challenges of building systems where security, reliability, and transaction accuracy are essential.</p><p>The ideal professional has extensive experience developing Java-based applications, designing distributed systems, and supporting backend services that handle high-volume financial transactions.</p><p>Relevant client projects may include payment processing modernization, transaction reconciliation, API development, and cloud-based financial services infrastructure.</p><p>What You'll Be Responsible For</p><ul><li>Architect, develop, and maintain backend services using Java and the Spring Boot framework.</li><li>Design secure RESTful APIs supporting payment transactions, account services, and third-party financial integrations.</li><li>Develop microservices that process large volumes of transactions while maintaining accuracy and system availability.</li><li>Build event-driven applications using Apache Kafka or comparable messaging platforms.</li><li>Implement transaction idempotency, retry mechanisms, and error-handling strategies to prevent duplicate or inconsistent processing.</li><li>Design and optimize PostgreSQL or other relational databases, including queries, indexes, and transactional operations.</li><li>Support payment settlement, reconciliation, and audit-trail functionality.</li><li>Diagnose performance bottlenecks involving database operations, service communication, and asynchronous workloads.</li><li>Implement authentication, authorization, encryption, and secure coding practices for sensitive financial information.</li><li>Contribute to deployment processes using Docker, Kubernetes, and cloud infrastructure.</li><li>Improve application observability through centralized logging, metrics, distributed tracing, and alerting.</li><li>Collaborate with product owners, security teams, quality engineers, and technical architects on service design and delivery.</li><li>Mentor less experienced engineers, review code, and participate in architectural decision-making.</li></ul><p><br></p>
<p>We are looking for a Data Scientist to join our clients pricing and analytics team. This role is ideal for someone early in their career who combines strong statistical thinking with an interest in insurance economics, especially in areas such as pricing, reserving, and telematics-driven analysis. You will partner closely with senior pricing and actuarial leaders, working across the full analytical lifecycle from raw data exploration to business-facing recommendations. The position offers broad exposure to how insurance performance is measured, explained, and improved through disciplined modeling and clear communication.</p><p><br></p><p>Responsibilities:</p><p>• Perform end-to-end analytical work that supports insurance rate reviews, including data preparation, trend evaluation, loss development analysis, and documentation used for regulatory support.</p><p>• Develop, test, and refine pricing and telematics models using statistical and machine learning techniques, ensuring results are accurate, explainable, and suitable for business use.</p><p>• Assist with reserving analysis by working with loss triangles, development patterns, and ultimate loss estimates that align actuarial findings with financial reporting.</p><p>• Create and maintain recurring performance dashboards and reporting that track key indicators such as loss ratios, claim frequency, claim severity, and cohort behavior.</p><p>• Investigate unusual shifts in portfolio performance, segment results, or customer retention trends, and translate findings into actionable insights for the broader team.</p><p>• Write organized, reusable code and data workflows that support independent analysis while making it easy for others to review and build on your work.</p><p>• Collaborate with pricing and actuarial stakeholders to gradually take ownership of increasingly complex analyses and modeling assignments as your experience grows.</p><p>• Communicate analytical conclusions clearly in written materials and presentations for audiences that need business impact explained without technical detail.</p>
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 a Software Integration Engineer to help connect industrial imaging hardware with reliable software systems that support modern manufacturing operations in Cambridge, Massachusetts. In this role, you will work across camera technologies, application software, and backend services to ensure image capture and device performance meet production needs. This position offers the chance to contribute to a growing team focused on practical computer vision solutions used in real factory environments.<br><br>Responsibilities:<br>• Build and support camera capture capabilities within production software workflows used in manufacturing environments.<br>• Create and maintain integrations for GenICam-compatible cameras, including work with Basler and related imaging toolkits when applicable.<br>• Investigate and resolve image acquisition problems such as timing inconsistencies, dropped frames, and synchronization failures.<br>• Adjust and fine-tune imaging settings including exposure, gain, trigger behavior, and lighting coordination for different use cases.<br>• Collaborate with software engineers to extend hardware connectivity and improve backend services for image capture and device management.<br>• Assess suitable lenses, optics, and illumination approaches to improve image quality and application performance.<br>• Develop and maintain interfaces between the platform and customer equipment, including industrial control and automation systems.<br>• Support configuration of real-time monitoring and control environments tied to production operations where needed.
<p><strong>.NET Developer</strong></p><p>We are seeking a talented <strong>.NET Developer</strong> to design, build, and support applications using C# and the Microsoft development stack. This role is ideal for someone who enjoys writing clean code, solving complex problems, and collaborating with cross-functional teams. The ideal candidate will have strong software engineering fundamentals and experience building applications in .NET environments.</p><p><strong>Responsibilities</strong></p><ul><li>Develop applications using .NET Core, .NET Framework, C#, and related Microsoft technologies</li><li>Build APIs, web services, and backend components</li><li>Collaborate with front-end developers, database engineers, and QA teams</li><li>Write clean, maintainable code following best practices and coding standards</li><li>Participate in design sessions, code reviews, and architecture discussions</li><li>Troubleshoot application issues, performance problems, and integration errors</li><li>Deploy applications using CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins)</li><li>Create and maintain technical documentation for applications and services</li><li>Refactor existing codebases for performance, optimization, or modernization</li></ul><p><br></p>
We are looking for a Data Engineer to join a Contract engagement supporting people analytics and HR-focused data initiatives in Philadelphia, Pennsylvania. This role is centered on designing, building, and refining scalable data pipelines and curated data assets using Azure Databricks and Azure Data Factory. The ideal candidate will be comfortable working hands-on with complex source data, translating business needs into reliable transformations, and delivering production-ready solutions with minimal oversight.<br><br>Responsibilities:<br>• Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products.<br>• Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use.<br>• Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery.<br>• Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic.<br>• Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions.<br>• Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation.<br>• Support integrations across HRIS and related platforms, including contributing to interface development where needed.<br>• Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
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 an experienced Sr. Software Engineer to support the design and enhancement of embedded software solutions for advanced voice and audio communication products in New York, New York. This Long-term Contract position focuses on building and maintaining Linux-based applications and platform capabilities for Intel x86 hardware, while contributing to modern user interface development and overall system performance. The ideal candidate brings a strong background in embedded Linux engineering along with hands-on experience across C#, .NET, React.js, JavaScript, and ASP.NET in a collaborative technology environment.<br><br>Responsibilities:<br>• Design, develop, and optimize embedded Linux software for communication devices that support voice and audio functionality.<br>• Build and maintain platform components within Ubuntu Core and customized Linux distributions for Intel x86-based systems.<br>• Create and refine user-facing application features for advanced interfaces, ensuring responsive performance and reliable operation.<br>• Collaborate with cross-functional engineering teams to translate product goals into scalable software solutions.<br>• Troubleshoot software issues across the stack, from operating system integration to application-level behavior.<br>• Implement, test, and improve backend and frontend features using C#, .NET, ASP.NET, JavaScript, and React.js.<br>• Participate in system customization, integration, and ongoing platform enhancements to meet technical and product requirements.
We are looking for a Data Engineer to build and enhance scalable data solutions that support analytics and business decision-making in Jacksonville, Florida. This role focuses on designing reliable warehouse structures, developing efficient data pipelines, and improving data quality across enterprise platforms. The ideal candidate brings strong technical depth in modern data engineering practices and is comfortable partnering with cross-functional teams to deliver well-governed, high-performing data assets.<br><br>Responsibilities:<br>• Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability.<br>• Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools.<br>• Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency.<br>• Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput.<br>• Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management.<br>• Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines.<br>• Create efficient code for data transformation and aggregation using Python and advanced query development techniques.<br>• Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases.<br>• Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.
<p>We're looking for a talented <strong>Frontend Web Developer</strong> to join a stable</p><p>team and help build modern, responsive, and user-friendly web applications.</p><p><br></p><p><strong>What You'll Do:</strong></p><ul><li>Develop and maintain web applications using HTML, CSS, JavaScript, and modern frameworks such as React or Angular</li><li>Collaborate with designers and back-end developers to deliver exceptional user experiences</li><li>Optimize applications for speed, performance, and cross-browser compatibility</li><li>Troubleshoot and resolve front-end issues</li></ul><p><strong>What We're Looking For:</strong></p><ul><li>Experience with modern front-end development technologies</li><li>Experience leveraging AI to assist in coding</li><li>Strong understanding of responsive design and UI/UX best practices</li><li>Experience with version control (Git)</li><li>Strong problem-solving and communication skills</li></ul><p><strong>Why Join Us?</strong></p><ul><li>Collaborative team environment</li><li>Opportunity to work on impactful projects</li><li>Competitive compensation and benefits</li><li>Flexible work environment</li></ul><p>If you're passionate about creating outstanding web experiences, we'd love to hear from you! Apply today.</p>
<p>We are looking for a Remote Full Stack .NET Developer to join a company in based in Ankeny, Iowa. This role is suited to a self-directed software engineer who can build and support modern application features with minimal supervision while collaborating with technical stakeholders as needed. The ideal candidate brings strong experience across the Microsoft development stack and can contribute thoughtful, well-documented solutions that align with established engineering standards.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and enhance full stack applications using C#, .NET, ASP.NET, and related Microsoft technologies.</p><p>• Develop backend services and web components with a focus on maintainable architecture, performance, and reliability.</p><p>• Create data access layers and business logic using Entity Framework and established development best practices.</p><p>• Produce clear technical documentation to support code quality, future enhancements, and team knowledge sharing.</p><p>• Work independently to plan, implement, test, and troubleshoot features while keeping work aligned with project expectations.</p><p>• Apply sound software design principles and architectural patterns when developing new functionality from the ground up.</p><p>• Follow defined engineering procedures, coding standards, and team protocols throughout the development lifecycle.</p><p>• Provide informed technical input and practical recommendations to leadership on implementation approaches and solution options.</p>
<p>We are seeking a full time highly skilled .NET, VB.net, C#, MS SQL Developer to support our desktop application development initiatives. The successful candidate will design, code, and test application software using .NET as the front-end development tool and SQL Server as the back-end database. This role will also provide technical support for custom development, database programming, performance monitoring, and knowledge transfer in core development technologies.</p><p><br></p><p><strong>Job Requirements:</strong></p><p><br></p><ul><li>Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent work experience.</li><li>7+ years of professional experience in application development using .NET technologies.</li><li>Strong programming skills in VB.net, ASP.NET (C#), HTML, CSS, XML, and Visual Studio .NET.</li><li>Proficiency with MS SQL Server database development, including stored procedures, triggers, indexing, and performance optimization.</li><li>Experience with API development and integration.</li><li>Familiarity with Crystal Reports and Power BI is a plus.</li><li>Familiarity with AI tools (ChatGPT, Claude) and proficiency in using GitHub for visual studio.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills with the ability to work independently and as part of a team.</li></ul>
We are looking for a Systems Engineer to support and advance endpoint and cloud operations for a modern enterprise environment in Addison, Illinois. This role focuses on strengthening device management, improving security and compliance, and building reliable standards for Windows and mobile platforms. The position also contributes to day-to-day Azure infrastructure support, partnering with cross-functional teams to resolve issues and maintain stable services.<br><br>Responsibilities:<br>• Lead the administration and optimization of enterprise endpoint management across Windows, iOS, iPadOS, Android, and supported macOS devices.<br>• Design and maintain Microsoft Intune configurations for device enrollment, policy enforcement, compliance controls, and application delivery.<br>• Manage Windows Autopilot deployments to streamline provisioning and create a consistent onboarding experience for end users.<br>• Oversee endpoint patching, software distribution, and lifecycle activities to keep devices secure, current, and aligned with company standards.<br>• Use Tanium and related tools to improve visibility, automate routine operational tasks, and support endpoint health across the environment.<br>• Act as an advanced escalation resource for endpoint-related incidents, working closely with infrastructure, cybersecurity, network, and service desk teams to drive resolution.<br>• Create and refine technical standards, operational procedures, and automation practices that improve consistency and reduce manual effort.<br>• Perform routine Azure infrastructure administration and basic resource provisioning by following established templates and approved support models.<br>• Escalate complex cloud platform issues and architecture-related decisions to senior engineering resources when deeper specialization is required.
We are looking for an experienced Lead Data Engineer to shape and scale modern data solutions for a growing organization. This role is ideal for a senior, detail-oriented individual who enjoys working in a dynamic environment, contributing both strategically and hands-on across engineering initiatives. The ideal candidate brings strong technical depth in cloud-based data platforms, a practical approach to data architecture, and the ability to guide engineers while partnering effectively with business stakeholders.<br><br>Responsibilities:<br>• Lead the design, development, and maintenance of scalable data pipelines and warehouse solutions using Python, Snowflake, and Azure-based technologies.<br>• Define data architecture standards that improve reliability, usability, and long-term scalability across the data environment.<br>• Drive performance tuning and optimization efforts for data processing workflows, storage structures, and query execution.<br>• Establish and strengthen data quality practices by implementing validation, monitoring, and governance measures across datasets and pipelines.<br>• Serve as a senior technical leader who can step into managerial responsibilities, providing direction, feedback, and support to engineering team members.<br>• Mentor engineers through code reviews, technical coaching, and knowledge sharing to elevate team capability and engineering consistency.<br>• Partner closely with business teams and technical stakeholders to translate operational and analytical needs into effective data solutions.<br>• Contribute hands-on to ETL development and cloud data platform enhancements, with exposure to Databricks considered an advantage.<br>• Act as a key point of coordination between business priorities and technical execution to ensure data initiatives deliver measurable value.
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.
We are looking for an experienced Senior Data Engineer to help design and enhance scalable data platforms that support critical business operations in Houston, Texas. This role is ideal for someone who enjoys building reliable pipelines, improving data accessibility, and working with modern big data technologies in a service-focused environment. The successful candidate will play a key role in shaping data architecture, enabling analytics, and maintaining high standards for performance, quality, and governance.<br><br>Responsibilities:<br>• Design, build, and optimize large-scale data pipelines that collect, transform, and deliver data from multiple sources.<br>• Develop robust ETL workflows using Python and Spark to support reporting, analytics, and operational data needs.<br>• Implement and maintain data solutions across distributed processing environments, including Hadoop and Azure Databricks.<br>• Create streaming and batch data integrations using Kafka and related technologies to ensure timely and dependable data movement.<br>• Collaborate with analysts, engineers, and business stakeholders to translate requirements into scalable technical solutions.<br>• Monitor pipeline performance, troubleshoot data issues, and apply improvements that increase reliability and efficiency.<br>• Establish data quality controls, validation processes, and documentation to support governance and long-term maintainability.<br>• Contribute to platform enhancements and technical initiatives, including changes to data infrastructure or internal processing frameworks when needed.
We are looking for an experienced Software Engineer to join a team in Houston, Texas, building and enhancing business-critical applications with a strong focus on Microsoft Dynamics 365 and modern web technologies. This role is well suited for someone who enjoys designing scalable solutions, working across application layers, and translating operational needs into reliable software. The ideal candidate brings deep hands-on development experience, strong problem-solving ability, and a solid foundation in software engineering principles.<br><br>Responsibilities:<br>• Design, build, and maintain software solutions using C#, .NET, and ASP.NET to support core business and field service operations.<br>• Develop and customize Microsoft Dynamics 365 capabilities to align platform functionality with operational and user requirements.<br>• Create and optimize SQL queries, data models, and backend processes to ensure strong application performance and data integrity.<br>• Build and support ETL workflows that move and transform data between systems for reporting, integration, and business processes.<br>• Collaborate with cross-functional stakeholders to gather technical requirements, define solution approaches, and deliver high-quality enhancements.<br>• Develop responsive user-facing features with JavaScript and React.js to improve usability and streamline business workflows.<br>• Troubleshoot application defects, identify root causes, and implement durable fixes across integrated systems.<br>• Contribute to software architecture, coding standards, testing practices, and continuous improvement efforts throughout the development lifecycle.
<p>We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience.</p><p><br></p><p>Responsibilities:</p><p>• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.</p><p>• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.</p><p>• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.</p><p>• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.</p><p>• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.</p><p>• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.</p><p>• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.</p><p>• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.</p><p>• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.</p>
<p>We are looking for a Backend Software Engineer to join a long-term contract opportunity. This role focuses on building and enhancing reliable back-end applications and services that support secure, scalable, and high-performing web solutions. The position offers the chance to contribute across the full development lifecycle while partnering with technical teams to deliver well-designed, maintainable software.</p><p><br></p><p>Responsibilities:</p><p>• Translate business needs into practical technical approaches and contribute to solution design throughout planning, development, testing, and release activities.</p><p>• Create and enhance back-end services and application features using modern C# and .NET technologies, while resolving defects and improving existing functionality.</p><p>• Produce clear technical documentation, define implementation details, and provide realistic effort estimates based on project scope and priorities.</p><p>• Strengthen application security and data protection by applying sound engineering practices, reviewing code quality, and aligning development work with established standards.</p><p>• Improve performance and reliability by analyzing monitoring insights, refining database queries and structures, and supporting efficient data processing.</p><p>• Build and support database solutions using PostgreSQL and related technologies, including optimization for complex data storage and retrieval needs.</p><p>• Contribute to automated delivery processes from development through production using CI/CD practices and cloud-based tooling.</p><p>• Work within Agile or hybrid delivery frameworks while collaborating with team members and offering technical guidance to less experienced developers.</p><p>• Develop solutions that leverage Azure services such as Functions, Service Bus, App Configuration, containers, and application monitoring capabilities.</p>
<p>We are looking for a Data Scientist/Analyst to support a fintech client in a long-term remote, contract role. This position focuses on measuring growth performance, improving marketing analytics, and translating complex data into clear business recommendations for senior leaders. The ideal candidate brings strong technical depth, practical experimentation expertise, and the ability to work cross-functionally in a fast-moving environment. </p><p><br></p><p>Responsibilities:</p><p>• Lead analysis of paid acquisition performance across marketing channels, connecting spend trends to outcomes and broader business impact</p><p>• Create and maintain dashboards and reporting tools that give leadership clear visibility into growth and marketing results</p><p>• Assess promotional offers and acquisition strategies using experiments, causal methods, and comparative cohort analysis</p><p>• Examine channel and cohort performance to uncover drivers of member growth, efficiency, and retention</p><p>• Review and apply marketing mix modeling results to inform investment planning and budget allocation decisions</p><p>• Partner with data engineering teams to strengthen attribution methods and improve the reliability of marketing measurement</p><p>• Build automated analytical workflows using Snowflake, dbt, and related tools to streamline recurring insights</p><p>• Work closely with marketing, growth, finance, and data partners to shape measurement frameworks and business decisions</p><p>• Present findings and recommendations to executive stakeholders in a concise and actionable way</p><p>• Provide guidance to other analytics contributors and help raise standards for high-impact data science work</p>
We are looking for an experienced Data Engineer to support enterprise-scale data initiatives for a financial services environment in Cincinnati, Ohio. This Long-term Contract position will focus on building reliable data foundations, shaping data structures that support investment and portfolio reporting, and partnering with business and technology leaders to solve complex information challenges. The ideal candidate brings deep expertise in modern data engineering, strong knowledge of financial data domains, and the ability to turn strategic needs into scalable technical solutions.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines that collect, transform, and deliver high-value business and financial data across enterprise platforms.<br>• Develop conceptual, logical, and physical data models that improve consistency, usability, and long-term management of critical information assets.<br>• Collaborate with executive stakeholders, business teams, and technical partners to define data solutions aligned with operational and strategic objectives.<br>• Establish and strengthen practices for data governance, stewardship, metadata management, lineage tracking, and data quality oversight.<br>• Translate complex business questions related to funds, investments, portfolio companies, and investors into effective engineering and data architecture solutions.<br>• Build and optimize ETL workflows using technologies such as Python, Apache Spark, Hadoop, and Kafka to support large-scale data processing.<br>• Partner across business and technology functions to ensure data platforms meet regulatory, privacy, risk, and compliance expectations within a financial services setting.<br>• Analyze enterprise data issues, identify improvement opportunities, and implement solutions that enhance reliability, accessibility, and reporting accuracy.
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.
<p>We are looking for an experienced Salesforce Development Lead IV to join a Long-term Contract opportunity based in New Jersey. In this role, you will shape enterprise Salesforce architecture, turn complex business needs into practical technical solutions, and lead delivery across a modern financial services environment. This position is ideal for a hands-on technical leader who can mentor developers, collaborate with stakeholders, and build secure, scalable platforms that support high-performance outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Lead the architecture, development, testing, and deployment of Salesforce solutions across Financial Services Cloud, OmniStudio, Data Cloud, and related platform capabilities.</p><p>• Convert detailed business objectives into scalable technical designs and guide the team through complete solution delivery from concept to production.</p><p>• Design and implement AI-enabled Salesforce capabilities, including Agentforce use cases, workflow automation, and conversational experiences that improve business operations.</p><p>• Establish integration frameworks using APIs and event-driven patterns while shaping data models that support performance, governance, and regulatory expectations.</p><p>• Drive engineering excellence by setting standards for code quality, conducting reviews, and promoting reusable components and sound design practices.</p><p>• Oversee DevOps processes such as source control strategy, automated deployment pipelines, and environment management to improve release reliability.</p><p>• Troubleshoot complex technical issues across development, testing, and production environments, resolving defects that span multiple systems.</p><p>• Provide day-to-day technical leadership, mentor team members, and identify innovation opportunities that expand the value of Salesforce and AI-driven solutions.</p><p>• Apply secure development principles and ensure solutions align with compliance obligations, operational controls, and required training standards within a regulated financial setting.</p><p><br></p><p>2710-0013448894</p>