<p><strong>Platform Engineer – Data Science Platform</strong></p><p><strong>13 Week Contract to Hire </strong></p><p><strong>Onsite Hybrid: </strong>Columbus, OH or Dallas, TX</p><p><strong>Pay: </strong>Available on W2 </p><p><strong>Job Summary</strong></p><p>We are seeking an experienced <strong>Platform Engineer</strong> to join a growing Platform Engineering team responsible for supporting and evolving a modern <strong>Data Science platform</strong>. This role focuses on building, managing, and securing cloud-based infrastructure that enables Data Science and AI/ML teams to operate efficiently at scale. The ideal candidate brings strong AWS expertise, hands-on infrastructure automation experience, and the ability to collaborate across technical and business teams.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Support and maintain ongoing <strong>Data Science infrastructure operations</strong></li><li>Design, build, and deploy <strong>AWS environments</strong> using automated <strong>CI/CD pipelines</strong></li><li>Manage and scale large, secure cloud environments to support current and future Data Science initiatives</li><li>Implement, own, and improve the <strong>image management lifecycle process</strong></li><li>Assist with the setup and ongoing management of <strong>AWS accounts</strong> dedicated to the Data Science platform</li><li>Develop and maintain infrastructure pipelines using <strong>CI/CD tools</strong> (e.g., Azure DevOps)</li><li>Build and manage environments using <strong>Infrastructure as Code (IaC)</strong> tools such as <strong>Terraform</strong></li><li>Develop scripts and applications using programming languages such as <strong>Python</strong></li><li>Manage and support database technologies including <strong>Athena, Oracle, MySQL, and PostgreSQL</strong></li><li>Leverage AWS services to enable <strong>Data Lake, Data Science, and AI/ML workloads</strong></li><li>Respond to requests from development and business users, removing technical roadblocks</li><li>Manage secured infrastructure environments, applying security controls and guardrails</li><li>Identify, remediate, and track infrastructure vulnerabilities within defined SLAs</li><li>Maintain audit logs and support compliance-related needs</li><li>Perform system upgrades, patching, and provide <strong>on-call support</strong> as required</li><li>Conduct root cause analysis and knowledge transfer sessions with internal teams</li><li>Collaborate closely with <strong>Network, Database, Infrastructure, and Architecture teams</strong> to align on platform strategy and delivery</li></ul><p><br></p>
<p>We are looking for a Senior Software Engineer to join our dynamic team in Central Ohio. In this role, you will leverage your expertise in .NET and web development to design, develop, and maintain high-quality software solutions. This is a great opportunity for an experienced and detail-oriented individual with extensive experience in an Agile environment who thrives in both development and support capacities.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain robust software applications using C# and .NET technologies.</p><p>• Build responsive web interfaces utilizing Blazor and modern web development practices.</p><p>• Implement and manage data models with Microsoft Entity Framework.</p><p>• Collaborate with cross-functional teams in an Agile environment to deliver high-quality solutions.</p><p>• Write clean, efficient code and conduct thorough testing to ensure application functionality and performance.</p><p>• Troubleshoot and resolve technical issues to support existing systems.</p><p>• Optimize web applications for maximum speed and scalability.</p><p>• Integrate JavaScript, CSS, and HTML into applications to enhance user experience.</p><p>• Ensure adherence to best practices for software development and coding standards.</p><p>• Participate in code reviews and provide constructive feedback to peers.</p>
<p>We are looking for an experienced Data Engineer to join our team on a contract basis in Columbus, Ohio. In this role, you will take on a leadership position, driving the development and optimization of data pipelines that support enterprise-wide analytics and decision-making. You will also play a key role in mentoring team members, fostering collaboration, and ensuring the integrity and quality of data across various business functions.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain efficient data pipelines to support enterprise analytics and reporting.</p><p>• Collaborate with business analysts and data science teams to refine data requirements and ensure alignment with organizational goals.</p><p>• Enhance and automate data integration and management processes to improve operational efficiency.</p><p>• Lead efforts to ensure data quality by testing for accuracy, consistency, and conformity to business rules.</p><p>• Provide training and guidance to team members and other stakeholders on data pipelining and preparation techniques.</p><p>• Partner with data governance teams to promote vetted content into the curated data catalog for reuse.</p><p>• Stay updated on emerging technologies and assess their impact on current systems and processes.</p><p>• Offer leadership, coaching, and mentorship to team members, encouraging attention to detail in their development.</p><p>• Work closely with stakeholders to understand business needs and ensure solutions meet those requirements.</p><p>• Perform additional duties as assigned to support organizational objectives.</p>
<p>We are looking for an experienced Senior Data Engineer to join our team on a contract basis in Columbus, Ohio. In this role, you will take the lead in designing, building, and optimizing data pipelines to support enterprise-wide data initiatives. You will collaborate with cross-functional teams, ensuring that data solutions are aligned with business needs while maintaining high standards of data quality and consistency. This position offers an excellent opportunity to mentor team members and contribute as a technical leader while driving innovation in data engineering.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain scalable data pipelines to support data-driven decision-making across the organization.</p><p>• Collaborate with data scientists and business analysts to refine data requirements and ensure seamless integration for analytics initiatives.</p><p>• Implement automation in data integration processes to enhance efficiency and scalability.</p><p>• Train team members and other stakeholders in data preparation techniques to improve data accessibility and usability.</p><p>• Ensure data quality by testing for accuracy, consistency, and compliance with business rules.</p><p>• Partner with data governance teams to promote curated data content for reuse and standardization.</p><p>• Provide leadership and mentorship to team members, fostering growth and collaboration within the team.</p><p>• Analyze emerging technologies and assess their potential impact on data engineering processes.</p><p>• Work closely with stakeholders to understand business needs and deliver tailored data solutions.</p><p>• Demonstrate attention to detail while building strong relationships across departments.</p>
<p>We are seeking an experienced SAP Techno-Functional Lead with a strong IT engineering and solution architecture background to design, develop, and implement SAP solutions supporting end-to-end manufacturing, production-to-ship, and order fulfillment processes. This role requires deep expertise across SAP PP/DS, WMS, ABAP, and Fiori, with hands-on experience integrating SAP S/4HANA with MES, PLM, and B2B platforms. Familiarity with CAP and RAP is a plus.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and implement SAP solutions across production planning and scheduling (PP/DS), warehouse operations (WMS), and order-to-ship processes</li><li>Lead solution architecture efforts, defining technical architectures, integration patterns, and cross-platform designs</li><li>Analyze business processes to identify gaps and translate requirements into functional and technical solutions</li><li>Deliver custom solutions using ABAP and Fiori to meet business and operational needs</li><li>Partner with manufacturing, supply chain, warehouse, engineering, and operations teams to ensure alignment with business objectives</li><li>Lead cross-functional and cross-platform integrations between SAP S/4HANA, MES, PLM, WMS, and B2B systems</li><li>Oversee configuration, development, and programming to ensure scalable, efficient, and maintainable solutions</li><li>Support analytics and reporting using SAP Analytics Cloud (SAC) to provide actionable operational insights</li><li>Act as a bridge between technical teams and business stakeholders to ensure clear communication and successful delivery</li></ul><p>Qualifications</p><ul><li>Bachelor’s degree in Information Technology, Computer Engineering, or a related field (advanced degree preferred)</li><li>8+ years of SAP experience, including 4+ years in techno-functional leadership or solution architecture roles</li><li>Strong expertise in SAP PP/DS, WMS, production planning, order-to-ship, and manufacturing operations</li><li>Hands-on experience with ABAP and Fiori development</li><li>Experience with SAP S/4HANA, SAP Analytics Cloud (SAC), and integration technologies (MES, PLM, B2B)</li><li>Knowledge of CAP, RAP, or other modern SAP development frameworks is a plus</li><li>Proven ability to design and deliver end-to-end manufacturing and warehouse solutions</li><li>Excellent communication, stakeholder management, and cross-functional collaboration skills</li><li>Manufacturing, warehouse, or supply chain domain experience strongly preferred</li></ul><p><br></p>
We are looking for an experienced Development Manager to lead and inspire a team of software developers in Columbus, Ohio. This long-term contract position requires a dynamic individual who can drive excellence in software development, foster collaboration, and ensure high-quality Agile delivery. The successful candidate will also play a pivotal role in optimizing Genesys Cloud CX systems and managing flow/botflow configurations for customer-centric solutions.<br><br>Responsibilities:<br>• Lead and mentor a team of five developers, promoting collaboration, growth, and skill development.<br>• Conduct regular performance reviews, one-on-one meetings, and create development plans to elevate team capabilities.<br>• Define and enforce best practices for software development, coding standards, and documentation processes.<br>• Facilitate structured peer code reviews to ensure consistency, maintainability, and high-quality outputs.<br>• Collaborate with cross-functional teams, including Product Owners and Scrum Masters, to define clear requirements and achievable sprint goals.<br>• Ensure Agile timelines and commitments are met while maintaining quality expectations.<br>• Identify skill gaps within the team and implement cross-training plans to ensure operational redundancy and resiliency.<br>• Optimize Genesys Cloud CX systems, focusing on flow and botflow development to enhance customer experience.<br>• Work closely with architects and stakeholders to design scalable voice and digital interaction solutions.<br>• Implement modern development tools, automation processes, and methodologies to streamline operations.
<p>Overview</p><p>We are seeking a highly analytical Data Scientist / Advanced Analytics Specialist to leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex business data. This role focuses on building data‑driven models, conducting large‑scale experimentation, and influencing business decisions through actionable insights.</p><p>The ideal candidate is intellectually curious, thrives in ambiguous problem spaces, and enjoys applying cutting‑edge analytics techniques to real‑world business challenges.</p><p><br></p><p>Key Responsibilities</p><ul><li>Apply advanced analytics methods to extract value from structured and unstructured business data</li><li>Design and execute large‑scale experiments and develop data‑driven models to answer complex business questions</li><li>Conduct research on emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define requirements used to train, evaluate, and evolve predictive and deep learning models</li><li>Analyze results and present data‑based recommendations to product, business, and technical teams</li><li>Influence decision‑making through clear, compelling data storytelling and insights</li><li>Support ongoing analytics initiatives and perform additional duties as assigned</li></ul>