<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
We are seeking a hands-on Senior Enterprise Architect in Artificial Intelligence (AI) to join our global Enterprise Architecture team. This role blends deep technical expertise with architectural design and practical implementation to drive AI-powered transformation initiatives.<br><br>As part of a forward-thinking global technology team, you’ll collaborate across business, data, and product functions to design and implement AI/ML solutions that enable digital products and services.<br><br>Key Responsibilities<br><br>Design and architect enterprise-scale AI/ML solutions across areas such as Machine Learning, Generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (Vision/Image, Text/Language processing).<br>Develop and communicate AI roadmaps, future-state architectures, and design artifacts.<br>Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms.<br>Evaluate and recommend AI/ML tools, platforms, and frameworks; conduct ROI analysis.<br>Experiment with and fine-tune LLMs, train custom models, and assess performance metrics.<br>Perform data exploration, cleansing, and feature engineering to prepare datasets for model training.<br>Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows.<br>Continuously scan industry innovations and apply emerging AI/ML technologies to business problems.<br>What We’re Looking For<br><br>Strong technical and business acumen in creating technology-driven solutions.<br>Passion for experimenting with and adopting emerging AI/ML technologies.<br>Excellent communication and influencing skills; ability to present complex technical concepts to both technical and non-technical audiences.<br>Proven ability to balance timeliness, cost, and quality in solution design.<br>Experience leading digital transformation, target operating models, and performance improvement initiatives.<br>Qualifications<br><br>Bachelor’s degree in STEM or related field (MBA a plus).<br>5+ years in AI/ML solution architecture, prototyping, and experimentation.<br>5+ years working with AWS and/or Azure data, analytics, and AI services.<br>3+ years of experience with data science tools and frameworks.<br>Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms.<br>Knowledge of cloud-native services (data storage, compute, networking, security).<br>Strong understanding of statistical methods, data preprocessing, and feature engineering.
<p><strong>Job Summary</strong></p><p>As a <strong>Lead Data Analyst</strong>, you will be responsible for understanding business needs, translating them into data analytics solutions, and taking on a leadership role in executing projects requiring expertise in data analytics and relevant technologies. You will also serve as a resource to other data analysts to define and advance best practices.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Drive data analytics initiatives and provide technical leadership for individual projects and deliverables.</li><li>Lead discussions across enterprise functions to leverage domain expertise and capabilities.</li><li>Coordinate with business process owners for SAP objects to ensure data integrity and alignment with business requirements.</li><li>Support data migration projects, including data mapping and validation processes.</li><li>Lead and assist with data validation efforts across multiple SAP objects.</li><li>Manage individual tasks independently and provide leadership for owned projects.</li><li>Engage with business stakeholders to identify opportunities for applying data analytics concepts to real-world business challenges.</li><li>Apply expertise to select appropriate data analytics methods and tools for specific use cases.</li><li>Deliver presentations and communications that build data science credibility with medium-sized groups.</li><li>Lead root cause analysis and advanced troubleshooting efforts.</li><li>Translate stakeholder requirements into actionable data analytics solutions.</li><li>Execute end-to-end data analytics projects: from problem definition to code/model validation and deployment.</li></ul>
We are looking for a skilled Data Reporting Analyst to join our team in Cincinnati, Ohio. This long-term contract position offers an exciting opportunity to contribute to data-driven decision-making processes within the Personal Loans Marketing team. The ideal candidate will leverage their expertise in data analysis, reporting, and visualization to provide actionable insights and optimize marketing performance.<br><br>Responsibilities:<br>• Develop and maintain efficient data workflows to support marketing dashboards and reporting systems.<br>• Document data sources, definitions, and reporting logic to ensure consistency and governance.<br>• Optimize database queries and backend data processes to enhance scalability and performance.<br>• Conduct quality assurance checks to maintain data integrity and accuracy across reports.<br>• Automate recurring reports to monitor campaign metrics such as performance, conversions, and cost-per-acquisition.<br>• Collaborate with engineering and data science teams to streamline data pipelines and improve data quality.<br>• Design and implement interactive dashboards using tools like Tableau to visualize key performance indicators.<br>• Provide ad hoc data analysis and reporting to support marketing campaign decision-making.<br>• Ensure data models and workflows are scalable and align with business needs.
<p>Our client is seeking a <strong>Data Scientist II – Generative AI</strong> to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale.</p><p>You will design and implement <strong>GenAI-powered agents</strong> that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment.</p><p>Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.</p>
We are looking for a skilled Database Technology Manager to lead and oversee data management and analytics initiatives. This role requires a balance of technical expertise and leadership to drive innovation and ensure data-driven decision-making across the organization. Based in New York, New York, you will play a critical role in managing advanced database technologies and fostering collaboration between technical and business teams.<br><br>Responsibilities:<br>• Lead the development and implementation of advanced database solutions to meet organizational goals.<br>• Manage and optimize data analytics tools, including Tableau and Microsoft SQL Server, to ensure seamless operations.<br>• Collaborate with cross-functional teams to gather requirements and deliver actionable insights through data visualization.<br>• Provide mentorship and training to team members on data analytics tools and methodologies.<br>• Develop and maintain data governance standards to ensure data security and compliance.<br>• Oversee the creation of compelling visual narratives to communicate data insights effectively to stakeholders.<br>• Drive innovation by identifying opportunities for process improvements and new data solutions.<br>• Stay updated on the latest advancements in database technologies and data science to apply best practices.<br>• Support the design and maintenance of data pipelines and engineering systems.<br>• Collaborate on Agile-based projects to ensure timely and efficient delivery of data-related initiatives.
We are looking for a highly experienced Lead Artificial Intelligence (AI) Engineer to spearhead the development and implementation of cutting-edge AI and Machine Learning solutions within our organization. This role is integral to driving innovation, optimizing operational processes, and delivering impactful business outcomes across various projects. As a senior technical expert, you will collaborate with cross-functional teams to design scalable systems, set technical standards, and mentor emerging talent in AI engineering.<br><br>Responsibilities:<br>• Design, develop, and deploy production-ready AI and machine learning solutions tailored to renewable energy planning, construction optimization, and risk management.<br>• Establish and enforce technical standards for AI/ML development, MLOps pipelines, and the management of model lifecycles.<br>• Collaborate with IT and data teams to ensure AI systems are secure, scalable, and seamlessly integrated into the enterprise environment.<br>• Work closely with business stakeholders to translate strategic goals into practical AI applications that drive measurable results.<br>• Lead initiatives to explore and implement generative AI, predictive analytics, and optimization technologies to enhance forecasting and operational efficiency.<br>• Mentor and guide technical teams, fostering knowledge-sharing and the adoption of best practices in AI development.<br>• Evaluate emerging AI tools and technologies to ensure the organization remains at the forefront of innovation.<br>• Oversee the deployment and scaling of AI models in production environments, ensuring performance and reliability.<br>• Drive the development of automation solutions using AI to streamline processes and improve productivity.<br>• Collaborate with partners and vendors to integrate AI solutions effectively into existing systems.
<p>We are looking for a skilled Data Reporting Analyst to join our team on a contract to perm in Austin, Texas. In this role, you will play a critical part in managing databases, generating compliance reports, and ensuring the accuracy of data analysis. Your expertise will support the creation of dashboards and reporting tools that drive efficient decision-making.</p><p><br></p><p>Responsibilities:</p><p>• Manage and oversee Access databases to ensure proper functionality and data integrity.</p><p>• Develop detailed compliance reports using Power BI, Excel, and specialized tools.</p><p>• Collaborate with the technology team to configure and optimize automation systems.</p><p>• Lead data collection efforts for field reporting and act as a project manager for related initiatives.</p><p>• Conduct training sessions to familiarize stakeholders with system functionalities and reporting tools.</p><p>• Create dashboards to monitor compliance standards and identify areas needing corrective actions.</p><p>• Perform regular audits on databases to maintain data accuracy and reliability.</p>
We are looking for a highly skilled Database Developer to join our team in Columbia, South Carolina. This position focuses on creating and optimizing Tableau-based solutions to enhance the analytical capabilities of the university's enterprise platform. The role involves close collaboration with data scientists, analysts, and IT professionals to deliver impactful insights that support strategic decision-making.<br><br>Responsibilities:<br>• Create dynamic and visually engaging Tableau dashboards tailored to meet diverse reporting needs.<br>• Develop complex calculations, parameters, and data blends to ensure robust data visualization.<br>• Optimize Tableau workbooks for enhanced performance, scalability, and user experience.<br>• Implement security protocols, including role-based access controls for Tableau content.<br>• Analyze data requirements and integrate information from multiple sources to produce accurate reports.<br>• Ensure data integrity through rigorous validation and testing procedures.<br>• Work closely with stakeholders to gather requirements and translate them into actionable technical solutions.<br>• Present dashboards to users, gather feedback, and refine deliverables as necessary.<br>• Monitor and troubleshoot Tableau Server performance, resolving issues to maintain system reliability.<br>• Stay informed on Tableau advancements and recommend innovative enhancements to the analytics platform.
<p><strong>Overview:</strong></p><p>We are seeking a Machine Learning/AI Engineer to join our growing team in St. Louis, MO. This role focuses on designing and developing scalable machine learning and artificial intelligence models that help organizations streamline operations, gain business insights, and innovate across services. You will collaborate closely with cross-functional partners to build, deploy, and maintain advanced ML/AI solutions that address real-world challenges.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and deploy machine learning and AI models for various business applications, from natural language processing to predictive analytics.</li><li>Collaborate with data engineers and business stakeholders to acquire data, define project requirements, and implement robust solutions.</li><li>Integrate ML models into cloud platforms and existing product infrastructures.</li><li>Monitor, evaluate, and improve model performance with a focus on scalability, reliability, and accuracy.</li><li>Assist in the creation of new data pipelines, automation systems, and APIs that enhance data-driven decision-making.</li><li>Document processes, models, and workflows and provide support and training to peers as needed.</li><li>Keep up to date with the latest advancements in AI/ML technologies and recommend best practices and tools.</li></ul><p><br></p>
Principal Data Scientist – Data & AI (Hybrid)<br><br>Global Technology Organization<br><br>We’re partnering with a global leader in secure, cloud-based data management and collaboration solutions to help them hire an accomplished Principal Data Scientist to join their expanding Data & AI organization. This team is building next-generation intelligent products used by thousands of enterprise customers worldwide.<br><br>In this role, you’ll drive the development of advanced machine learning capabilities that shape product innovation, enhance data intelligence, and fuel large-scale business impact.<br><br>What You’ll Work On<br><br>Architect, develop, and deploy end-to-end machine learning models across structured and unstructured data sources.<br><br>Lead the design and optimization of scalable data pipelines to support production-grade ML systems.<br><br>Partner with engineering, research, and product teams to define requirements and deliver high-impact AI/ML solutions.<br><br>Conduct model experimentation, analyze results, and continuously refine accuracy, performance, and robustness.<br><br>Produce clear documentation and communicate insights effectively to both technical and non-technical audiences.<br><br>Stay ahead of industry advancements in machine learning, data science tools, and emerging methodologies.<br><br>Support the operationalization, governance, and monitoring of ML models within the company's product ecosystem.<br><br>Preferred Qualifications<br><br>Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or related fields (PhD is a plus but not required).<br><br>10+ years of deep, hands-on machine learning experience, including building, optimizing, and scaling data-driven models for real-world business impact.<br><br>Expert-level proficiency in Python and common ML/data libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch.<br><br>Extensive experience with data wrangling, cleansing, feature engineering, and ETL pipeline development.<br><br>Proven experience deploying models in cloud-based or distributed environments.<br><br>Who Thrives Here<br><br>Leaders who take ownership, drive research forward, and turn complex ideas into production-ready solutions.<br><br>Strong analytical thinkers with exceptional communication skills.<br><br>Collaborative professionals who enjoy working across engineering, product, and data teams.<br><br>Individuals who embrace continuous learning and stay ahead of modern ML trends.
<ul><li>Design, build, and maintain scalable data pipelines and architectures.</li><li>Develop processes for data collection, transformation, and storage to support analytics, reporting, and business intelligence.</li><li>Clean, organize, and validate large volumes of data from various sources.</li><li>Optimize data workflows for performance and reliability.</li><li>Collaborate with data scientists, analysts, and software engineers to meet business data needs.</li><li>Implement security, data governance, and compliance controls.</li><li>Troubleshoot data issues and ensure data consistency and quality.</li></ul><p><br></p>
<ul><li>Design, build, and maintain scalable data pipelines and architectures.</li><li>Develop processes for data collection, transformation, and storage to support analytics, reporting, and business intelligence.</li><li>Clean, organize, and validate large volumes of data from various sources.</li><li>Optimize data workflows for performance and reliability.</li><li>Collaborate with data scientists, analysts, and software engineers to meet business data needs.</li><li>Implement security, data governance, and compliance controls.</li><li>Troubleshoot data issues and ensure data consistency and quality.</li></ul><p><br></p>
<p>We are seeking a talented and motivated Python Data Engineer to join our global team. In this role, you will be instrumental in expanding and optimizing our data assets to enhance analytical capabilities across the organization. You will collaborate closely with traders, analysts, researchers, and data scientists to gather requirements and deliver scalable data solutions that support critical business functions.</p><p><br></p><p>Responsibilities</p><ul><li>Develop modular and reusable Python components to connect external data sources with internal systems and databases.</li><li>Work directly with business stakeholders to translate analytical requirements into technical implementations.</li><li>Ensure the integrity and maintainability of the central Python codebase by adhering to existing design standards and best practices.</li><li>Maintain and improve the in-house Python ETL toolkit, contributing to the standardization and consolidation of data engineering workflows.</li><li>Partner with global team members to ensure efficient coordination and delivery.</li><li>Actively participate in internal Python development community and support ongoing business development initiatives with technical expertise.</li></ul>
We are looking for a talented Copywriter to join our team on a contract basis in Fort Worth, Texas. In this role, you will craft compelling and audience-focused content tailored for physician audiences, while maintaining brand consistency and clarity. This position offers the opportunity to collaborate with technical experts and creative teams, ensuring innovative and compliant messaging across various platforms.<br><br>Responsibilities:<br>• Develop engaging content that aligns with brand identity and messaging for web, digital, social, print, video, and event communications.<br>• Simplify complex medical and engineering concepts into clear, audience-focused copy in collaboration with design, digital, and product teams.<br>• Edit and enhance copy from other writers and agencies, ensuring consistency, clarity, and adherence to established communication standards.<br>• Collaborate with design, digital strategy, and product teams to optimize the delivery of content across multiple channels.<br>• Advocate for and maintain brand voice, ensuring uniformity across all communication touchpoints.<br>• Contribute innovative ideas and storytelling approaches to support campaign strategies and creative problem-solving.<br>• Adapt creative content to meet specific legal, regulatory, or technical requirements, balancing compliance with creativity.
<p>Robert Half's client is seeking a Digital Learning Experience Designer who specializes in translating impactful learning strategies into clear, focused digital experiences using Articulate and NovoEd. If you are passionate about crafting intentional, evidence-based solutions that enhance real-world job performance—and care deeply about how design influences learning outcomes—we encourage you to apply.</p><p><br></p><p>Responsibilities:</p><ul><li>Collaborate with Instructional Designers and stakeholders to co-create digital learning solutions focused on job tasks and performance.</li><li>Use Articulate and NovoEd to develop interactive, practice-oriented experiences emphasizing decision-making and application.</li><li>Design engaging interactions that require learners to think, choose, and reflect.</li><li>Apply multimedia and learning science principles to optimize attention, understanding, and retention.</li><li>Make deliberate design decisions about layout, visuals, and media based on how people learn.</li><li>Ensure clarity, relevance, and ease of use across all learner experiences.</li><li>Critically review content and iterate designs based on feedback.</li><li>Maintain high quality standards in accuracy, functionality, and user experience.</li></ul><p><br></p>
<p>Our client is seeking a Data Architect for multi-year assignment.</p><p><br></p><p>Job Overview:</p><p>The Data Architect will lead the design and implementation of enterprise data systems, ensuring alignment with business needs, data governance, and security standards. This role involves working closely with IT teams, business analysts, and data consumers to deliver scalable and secure data solutions.</p><p>This role will be onsite in Marysville, OH four days per week.</p><p><br></p><p>Daily Responsibilities:</p><ul><li>Translate high-level business requirements into data models, metadata, test data, and data quality standards</li><li>Manage senior business stakeholders to ensure project alignment with strategic roadmaps</li><li>Lead peer reviews and quality assurance of architectural artifacts</li><li>Define and manage standards, guidelines, and processes for data quality</li><li>Collaborate with IT and analytics teams to develop data solutions</li><li>Evaluate and recommend emerging technologies for data management and analytics</li><li>Establish governance frameworks for internal teams and vendor partners</li></ul><p>Project Focus:</p><ul><li>Apply data protection rules across storage, compute, and consumption layers</li><li>Design data protection solutions at database, table, column, and API levels</li><li>Architect data systems including databases, warehouses, and lakes</li><li>Select and implement database management systems with optimized schemas and security</li><li>Enhance data pipeline performance and ensure data governance</li></ul>
We are looking for a skilled Business Systems Analyst to join a dynamic team in Cypress, California, specializing in delivering impactful reporting and analytics solutions. In this role, you will collaborate with stakeholders to define business needs, create functional designs, and oversee the development of Power BI solutions powered by Snowflake and other advanced database systems. This position requires a proactive approach to problem-solving and a strong ability to translate complex requirements into actionable insights.<br><br>Responsibilities:<br>• Conduct interviews with stakeholders to gather requirements, identify business challenges, and define clear objectives for future solutions.<br>• Prioritize and manage requirements to ensure focus on high-impact deliverables while assessing risks across applications and processes.<br>• Translate business requirements into detailed functional specifications, ensuring alignment with technical constraints and enterprise goals.<br>• Design user-friendly BI and reporting solutions, incorporating best practices for user interface and performance optimization.<br>• Develop persuasive business cases that articulate challenges, expected benefits, and solution value to stakeholders.<br>• Ensure that solutions adhere to technology standards and collaborate with architecture teams to maintain consistency across projects.<br>• Lead testing and validation efforts by creating use cases, documenting results, and developing reusable test scenarios.<br>• Build actionable Power BI dashboards and reports, leveraging Snowflake and relational database systems to provide valuable insights.<br>• Partner with cross-functional teams to ensure seamless integration of solutions into existing systems and workflows.<br>• Monitor and evaluate solution performance, providing recommendations for continuous improvement based on user feedback and data analysis.
<p>We are seeking a highly experienced actuarial leader to oversee an advanced modeling team within a large, mission‑driven organization. This role focuses on strategic modeling, AI innovation, and team leadership.</p><p><br></p><p>For immediate consideration, please contact Carmen Warga in our Albany, NY office. </p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop solutions to complex business challenges using advanced modeling techniques, including machine learning and AI.</li><li>Oversee, review, and enhance existing actuarial models across statistical and AI domains.</li><li>Lead, mentor, and develop a high-performing team; set priorities, goals, and development plans.</li><li>Manage day‑to‑day modeling operations and ensure clear, concise communication of results to business partners.</li><li>Ensure successful implementation and adoption of analytical models by internal stakeholders.</li><li>Expand analytical capabilities through new tools, data sources, and emerging data science and AI techniques.</li><li>Implement best practices and repeatable processes to ensure high-quality model delivery.</li><li>Participate in internal reviews of AI-driven models to ensure compliance with established policies and standards.</li><li>Ensure all modeling work aligns with Actuarial Standards of Practice.</li></ul>
About the Role: We’re looking for a experienced technical leader to guide a team in delivering end-to-end technology solutions in a dynamic environment. This role requires strong technical leadership, deep expertise in enterprise policy administration systems, and proficiency with mainframe technologies. A working knowledge of SQL and integration tools is also important. You’ll provide technical guidance, influence solution design, and oversee development and implementation efforts for critical business functionality. Key Responsibilities: Lead technology teams and drive successful delivery of complex projects Build strong partnerships with business stakeholders and product owners Ensure effective utilization of IT resources and adherence to service delivery standards Apply technical skills in application development and support while championing process improvements Collaborate with architects and developers to maintain standards and define technical roadmaps Evaluate technology options and recommend solutions that meet business needs Estimate costs and timelines for projects and enhancements Maintain detailed knowledge of key business applications and identify modernization opportunities Oversee application design, configuration, testing, and release management processes Communicate effectively across all organizational levels Operate independently in a complex environment to meet service levels Qualifications: Bachelor’s degree in Computer Science or equivalent experience 10+ years of experience across the full SDLC, including design, maintenance, and enhancement of applications in a mainframe environment (COBOL, JCL, SQL, CICS, DB2, VSAM, etc.) Experience leading product or project development teams on enterprise policy administration platforms preferred Strong leadership skills with the ability to influence and collaborate in a matrixed organization
<p><strong>About the Role:</strong></p><p>We’re looking for a hands-on, seasoned technical leader to guide a team in delivering end-to-end technology solutions in a dynamic environment. This role requires strong technical leadership, deep expertise in enterprise policy administration systems, and proficiency with mainframe technologies. A working knowledge of SQL and integration tools is also important. You’ll provide technical guidance, influence solution design, and oversee development and implementation efforts for critical business functionality.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead technology teams and drive successful delivery of complex projects</li><li>Build strong partnerships with business stakeholders and product owners</li><li>Ensure effective utilization of resources and adherence to service delivery standards</li><li>Apply technical skills in application development and support while championing process improvements</li><li>Collaborate with architects and developers to maintain standards and define technical roadmaps</li><li>Evaluate technology options and recommend solutions that meet business needs</li><li>Estimate costs and timelines for projects and enhancements</li><li>Maintain detailed knowledge of key business applications and identify modernization opportunities</li><li>Oversee application design, configuration, testing, and release management processes</li><li>Communicate effectively across all organizational levels</li><li>Operate independently in a complex environment to meet service levels</li></ul><p><strong>Qualifications:</strong></p><ul><li>Bachelor’s degree in Computer Science or equivalent experience</li><li>10+ years of experience across the full SDLC, including design, maintenance, and enhancement of applications in a mainframe environment </li><li>Experience leading product or project development teams on enterprise policy administration platforms preferred</li><li>Strong leadership skills with the ability to influence and collaborate in a matrixed organization</li></ul><p><br></p>
We are looking for a skilled Data Engineer to join our team in San Antonio, Texas. This role offers an opportunity to design, develop, and optimize data solutions that support business operations and strategic decision-making. The ideal candidate will possess a strong technical background, excellent problem-solving skills, and the ability to collaborate effectively across departments.<br><br>Responsibilities:<br>• Develop, maintain, and optimize data pipelines using Azure Synapse Analytics, Microsoft Fabric, and Azure Data Factory.<br>• Implement advanced data modeling techniques and design scalable BI solutions that align with business objectives.<br>• Create and maintain dashboards and reports using Power BI, ensuring data accuracy and usability.<br>• Integrate data from various sources, including APIs and Dataverse, into Azure Data Lake Storage Gen2.<br>• Utilize tools like Delta Lake and Parquet to manage and structure data within a lakehouse architecture.<br>• Define and implement BI governance frameworks to ensure consistent data standards and practices.<br>• Collaborate with cross-functional teams such as Operations, Sales, Engineering, and Accounting to gather requirements and deliver actionable insights.<br>• Troubleshoot, document, and resolve data issues independently while driving continuous improvement initiatives.<br>• Lead or contribute to Agile/Scrum-based projects to deliver high-quality data solutions within deadlines.<br>• Stay updated on emerging technologies and trends to enhance data engineering practices.
We are looking for a highly skilled Data Engineer to join our Decision Engine Team in Columbus, Ohio. This position focuses on developing and optimizing real-time customer engagement strategies by leveraging advanced data engineering techniques. As part of a collaborative team, you will play a critical role in creating and maintaining the infrastructure necessary to deliver personalized, data-driven messages across various customer channels. This is a long-term contract position offering the opportunity to work on cutting-edge technology and impactful projects.<br><br>Responsibilities:<br>• Develop, implement, and manage scalable data pipelines that support real-time decision-making and marketing initiatives.<br>• Collaborate with marketing, analytics, IT, and modeling teams to ensure seamless execution of customer messaging strategies across multiple channels.<br>• Conduct thorough testing and validation to ensure data accuracy, integrity, and reliability.<br>• Enhance and integrate decision engine platforms, including tools such as Adobe Campaign, Salesforce, and Unica Interact.<br>• Automate workflows and reporting processes using technologies like Python, Tableau, or cloud-based tools.<br>• Troubleshoot and resolve data-related issues in production environments to maintain system efficiency.<br>• Participate in the deployment of new features and upgrades to the decision engine software.<br>• Manage and catalog curated data assets to facilitate enterprise-wide reuse and governance.<br>• Provide guidance on best practices for data testing, quality assurance, and pipeline optimization.
We are looking for a skilled Engineer to develop and enhance software solutions that address complex challenges in the real estate and property industry. This long-term contract position involves designing, coding, testing, and maintaining scalable and secure software systems. Based in Minneapolis, Minnesota, this role offers an opportunity to contribute to impactful engineering projects while collaborating with cross-functional teams.<br><br>Responsibilities:<br>• Design and implement software solutions that align with customer needs and organizational goals.<br>• Develop, test, debug, and document code to ensure reliability and performance.<br>• Collaborate with team members to solve technical challenges and remove roadblocks.<br>• Apply knowledge of frameworks and systems design to create stable and scalable software.<br>• Participate in product planning and provide input on technical strategies and solutions.<br>• Troubleshoot and analyze complex issues to identify and resolve defects.<br>• Mentor developers who are early in their careers and provide technical guidance to the team.<br>• Explore and adopt new technologies to enhance product performance and lifecycle.<br>• Contribute to DevOps processes, including support rotations and subsystem knowledge-building.<br>• Assist in recruiting efforts by participating in interviews and evaluating potential team members.
We are looking for a dedicated Weather Coordinator to join our team in Chattanooga, Tennessee. In this contract role, you will play a pivotal part in supporting logistics operations by monitoring and analyzing weather conditions to ensure safety and efficiency. This position requires strong analytical abilities, expert communication skills, and the ability to utilize advanced meteorological tools.<br><br>Responsibilities:<br>• Monitor real-time weather conditions using radar, satellite imagery, and various meteorological tools.<br>• Analyze weather data to identify trends, patterns, and potential hazards impacting logistics operations.<br>• Provide accurate and timely weather forecasts tailored to logistics and transport needs.<br>• Communicate weather advisories, warnings, and recommendations clearly to stakeholders.<br>• Collaborate with logistics teams to assess weather risks and develop mitigation strategies.<br>• Utilize specialized software and equipment to enhance forecasting accuracy.<br>• Maintain detailed records of weather data, forecasts, and stakeholder communications.<br>• Assist in emergency response planning and provide updates during severe weather events.<br>• Ensure compliance with industry safety standards and regulatory requirements.<br>• Offer consultation and support to decision-makers regarding weather-related logistics challenges.
