Technical ceramics manufacturer deploying lakehouse analytics for production optimization
CoorsTek manufactures engineered technical ceramics and advanced materials for aerospace, automotive, medical, and oil & gas. The tech stack reveals a manufacturer mid-transformation: legacy PLCs and CAD/CAM tools (ControlLogix, Pro/ENGINEER, Mastercam) sit alongside Databricks, Delta Lake, and Unity Catalog, with active projects centered on lakehouse architecture and governed data products. Manufacturing-heavy hiring (57 of 86 roles) paired with ETL/ELT and production reliability work suggests they're building internal data infrastructure to tackle yield, scrap, and downtime — core cost drivers in high-precision ceramics.
Notable leadership hires: Team Lead
CoorsTek is a privately held manufacturer of technical ceramics and advanced materials headquartered in Golden, Colorado, with operations spanning the United States, Dominican Republic, and Japan. Founded in 1910, the company serves mid-to-large industrial customers in aerospace, automotive, medical devices, and oil & gas with custom ceramic components and engineered materials. The business spans design, precision manufacturing, quality control (Zeiss metrology, statistical process control via Minitab/JMP, LIMS systems), and supply chain logistics. Current hiring velocity is accelerating across manufacturing and engineering roles, with parallel investments in data analytics and production systems.
CoorsTek operates a hybrid stack: legacy manufacturing systems (ControlLogix, PLC-5, Ignition, Wonderware, CNC, CAD/CAM tools like Solidworks and Mastercam) integrated with modern data infrastructure (Databricks, Delta Lake, Unity Catalog, Python). Quality and process control rely on Zeiss, Minitab, JMP, and SAS.
CoorsTek is actively hiring in the United States, Dominican Republic, and Japan, reflecting its global manufacturing footprint.
CoorsTek, Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.