Kforce's client is seeking a Data Engineer to join a global Smart Manufacturing Solutions team responsible for connecting operational technology (OT) environments with enterprise data platforms. This role focuses on building, supporting, and improving the reliability of cloud-based data pipelines that enable business intelligence, analytics, reporting, automation, and future AI initiatives. This position is ideal for a hands-on engineer who enjoys working across cloud technologies, manufacturing systems, data analytics, and production support in a highly visible operational environment. Key Responsibilities:ResponsibilitiesDesign, develop, and support data pipelines that move operational and manufacturing data from facility systems to Google Cloud Platform (GCP)Build dashboards, reports, and monitoring solutions that improve operational visibility and pipeline healthDevelop alerting, logging, and automation capabilities to proactively detect and resolve issuesTroubleshoot pipeline failures, data quality issues, and operational incidentsPerform root cause analysis and implement improvements to increase reliability and resilienceCollaborate with global teams across IT, operations, engineering, and business functionsCreate and maintaport procedures, and troubleshooting guidesSupport data governance initiatives focused on data quality and integrityRequirementsBachelor's degree ineering, Information Systems, or a related technical discipline2-5 years of experience lytics Engineering, Production Support, or a related fieldExperience building and supporting data pipelines and cloud-based data solutionsHands-on experience with Google Cloud Platform (GCP)Strong SQL and Python skillsExperience with monitoring, alerting, logging, and production support processesAbility to troubleshoot complex data flows and identify points of failureComfortable working in a fast-paced, collaborative environment supporting business-critical systemsStrong ownership mentalityOrganized and detail-orientedCurious and proactive problem solverSense of urgency and ability to prioritizeStrong communication and collaboration skillsTechnical SkillsGoogle Cloud Platform (BigQuery, Dataflow, Cloud Monitoring)SQLPython (Pandas, NumPy, Scikit-Learn)Data Engineering & Data PipelinesDashboarding and AnalyticsMonitoring, Alerting, and LoggingSystems Support and Reliability EngineeringPreferredNode-RED or similar automation toolsOSIsoft PI or industrial data historiansAPI integrationsGrafanaLooker, Power BI, or TableauDataform or CollibraExperience within manufacturing or industrial environmentsWe offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.This job is not eligible for bonuses, incentives or commissions.
4 days ago