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Full Stack Machine Connectivity & Analytics Engineer

ClifyX, INC

  • Lafayette, IN
  • 30+ days ago

    Highlights

    Operational Integration & Actionability Support or lead regular reviews of data insights with plant stakeholders to ensure insights turn into actions with owners and follow up. Machine Connectivity & Data Acquisition Enable and support connections to manufacturing equipment, sensors, and digital sources in collaboration with controls and IT/OT teams.

    Numbers & Facts

    LocationLafayette, IN

    Description

    Key Responsibilities
    Machine Connectivity & Data Acquisition
    • Enable and support connections to manufacturing equipment, sensors, and digital sources in collaboration with controls and IT/OT teams.
    • Support secure and reliable data collection from machines and systems used in manufacturing operations.
    • Validate data availability, frequency, signal quality, and basic health of connected assets.
    Data Engineering & Pipeline Development
    • Structure, normalize, and prepare machine and operational data so it is usable for analytics and reporting.
    • Implement pragmatic data pipelines that support near real time and historical analysis (tool agnostic, fit for purpose).
    • Document data definitions, assumptions, and limitations to enable sustainment and scale.
    Analytics, Reporting & Insights
    • Develop dashboards, reports, and analytical views that translate raw data into clear operational insights and recommended actions. [
    • Support reporting workflows that may include structured exports (e.g., CSV) and Power BI style dashboards depending on maturity and use case.
    • Identify trends, exceptions, thresholds, and opportunities related to safety, quality, throughput, utilization, or reliability.
    Operational Integration & Actionability
    • Support or lead regular reviews of data insights with plant stakeholders to ensure insights turn into actions with owners and follow up.
    • Partner with manufacturing engineering, operations, EHS, quality, and IT/OT to ensure analytics align with real shop floor decisions.
    • Contribute to development of repeatable deployment patterns and best practices that can be reused across sites.
    Required Skills & Experience
    • Hands on experience connecting or working with manufacturing equipment data, telemetry, or IIoT sources.
    • Strong ability to transform raw machine/process data into actionable insights, not just dashboards.
    • Experience with data analysis and visualization tools used in manufacturing or industrial contexts.
    • Comfort working across OT, IT, engineering, and operations in a plant environment.
    • Proven ability to operate independently in a contract role with minimal direction.
    Preferred / Nice to Have Experience
    • Exposure to reliability, asset performance, predictive maintenance, or process monitoring use cases.
    • Familiarity with structured deployment playbooks, continuous improvement cadences, and sustainment models.

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