We are looking for a Database Developer to support a manufacturing organization in Dayton, Ohio by building connected reporting solutions across plant systems and Microsoft technologies. This Long-term Contract position will focus on creating dependable, real-time visibility into production data through Power Platform, SharePoint, and Power BI tools. The ideal candidate is comfortable taking technical ownership, resolving integration challenges, and delivering practical solutions with limited day-to-day direction.<br><br>Responsibilities:<br>• Build and maintain integrations across Power Apps, SharePoint, and Power BI to deliver timely production reporting and visual dashboards.<br>• Connect manufacturing equipment with Microsoft-based platforms so operational data can be captured and displayed accurately.<br>• Create and support data pipelines that power live shop-floor metrics, reporting views, and management dashboards.<br>• Organize and enhance SharePoint lists, libraries, and related data structures to function as a reliable central repository.<br>• Diagnose and resolve issues affecting system integration, data flow performance, and connectivity between plant equipment and reporting tools.<br>• Monitor and improve the stability of networked data transmission to help ensure consistent communication across connected systems.<br>• Partner with operations teams and site leadership to translate business reporting needs into effective technical solutions.<br>• Verify data quality, investigate discrepancies, and optimize overall platform reliability for production reporting.<br>• Support the deployment and refinement of Power BI dashboards as the reporting environment continues to expand.
<p>We are looking for a Senior IT Platform / Systems Engineer to support enterprise technology operations in New York, NY as part of a Long-term Contract engagement. This position is ideal for a hands-on engineer who can take ownership quickly in a fast-moving environment and contribute across identity, infrastructure, network, and endpoint platforms. The role will partner with distributed teams, including collaboration during EU business hours, and requires someone comfortable working independently while documenting and communicating clearly.</p><p><br></p><p>Responsibilities:</p><p>• Design, administer, and enhance enterprise platform services spanning identity, infrastructure, networking, and endpoint technologies.</p><p>• Manage and support Okta in a live production setting, including configuration, administration, and ongoing operational improvements.</p><p>• Build and maintain directory integrations, automated provisioning processes, and workflow solutions tied to identity and access management platforms.</p><p>• Develop and manage infrastructure through code using tools such as Terraform, Pulumi, Ansible, or similar enterprise automation frameworks.</p><p>• Contribute technical expertise across multiple environments such as cloud platforms, endpoint management, collaboration systems, and enterprise network services.</p><p>• Support engineering and operational activities in multi-cloud ecosystems, including Azure and other major cloud providers, while helping guide platform decisions.</p><p>• Produce clear technical documentation and maintain accurate work tracking through Jira and Confluence within an agile delivery model.</p><p>• Partner effectively with globally distributed stakeholders, including teams aligned to EU working hours, to resolve issues and deliver platform improvements.</p>
We are looking for a Data Engineer to join a long-term contract opportunity. This role is suited for someone who can build and optimize modern data pipelines while partnering across technical teams to keep delivery on schedule and data platforms running reliably. The ideal candidate brings strong hands-on experience with large-scale data processing, integration frameworks, and disciplined execution in fast-moving environments. <br> Responsibilities: • Design, build, and enhance scalable data pipelines that support reliable ingestion, transformation, and delivery of critical business data. • Develop and maintain ETL workflows using Python and distributed data technologies to improve performance, accuracy, and maintainability. • Collaborate with engineering, security, IT, and external stakeholders to coordinate dependencies, resolve blockers, and keep initiatives progressing smoothly. • Monitor project milestones, surface risks early, and help drive timely execution through clear status updates and strong follow-through. • Implement data processing solutions using tools such as Apache Spark, Hadoop, and Kafka to support high-volume and real-time data needs. • Partner with cross-functional teams to validate testing readiness, support controlled releases, and promote successful adoption of new data capabilities. • Contribute to data governance and lifecycle practices by helping ensure quality standards, consistency, and operational reliability across platforms.