Data Engineer (Operations & Manufacturing Data)
$45 per hourTemporary
Kforce'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 integrity
- 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 skills
* SQL
- Python (Pandas, NumPy, Scikit-Learn)
- Data Engineering & Data Pipelines
- Dashboarding and Analytics
- Monitoring, Alerting, and Logging
- Systems Support and Reliability Engineering
- 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 environments
Vacancy posted 1 day ago
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