Data Engineer (Operations & Manufacturing Data)

DescriptionKforce's client in Chesterfield, MO 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:* Design, 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 health* Develop alerting, logging, and automation capabilities to proactively detect and resolve issues* Troubleshoot pipeline failures, data quality issues, and operational incidents* Perform root cause analysis and implement improvements to increase reliability and resilience* Collaborate with global teams across IT, operations, engineering, and business functions* Create and maintain technical documentation, support procedures, and troubleshooting guides* Support data governance initiatives focused on data quality and integrityRequirements* Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline* 2-5 years of experience in Data Engineering, Analytics Engineering, Production Support, or a related field* Experience building and supporting data pipelines and cloud-based data solutions* Hands-on experience with Google Cloud Platform (GCP)* Strong SQL and Python skills* Experience with monitoring, alerting, logging, and production support processes* Ability to troubleshoot complex data flows and identify points of failure* Comfortable working in a fast-paced, collaborative environment supporting business-critical systems* Strong ownership mentality* Organized and detail-oriented* Curious and proactive problem solver* Sense of urgency and ability to prioritize* Strong communication and collaboration skillsTechnical Skills:* Google Cloud Platform (BigQuery, Dataflow, Cloud Monitoring)* SQL* Python (Pandas, NumPy, Scikit-Learn)* Data Engineering & Data Pipelines* Dashboarding and Analytics* Monitoring, Alerting, and Logging* Systems Support and Reliability EngineeringPreferred:* Node-RED or similar automation tools* OSIsoft PI or industrial data historians* API integrations* Grafana* Looker, Power BI, or Tableau* Dataform or Collibra* Experience within manufacturing or industrial environmentsJob TypeContractCompensation45 - $62