FullStack Machine Connectivity & Analytics Engineer

ClifyX

Lafayette, IN

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JOB DETAILS

SKILLS

Analysis Skills, Best Practices, Continuous Deployment/Delivery, Data Analysis, Data Collection, Data Management, Data Processing, Data Quality, Data Visualization Tools, Information Technology & Information Systems, Information/Data Security (InfoSec), Machining Operations, Manufacturing, Manufacturing Engineering, Manufacturing Equipment, Manufacturing Operations, Manufacturing Systems, Power BI, Reporting Dashboards, Safety/Work Safety, Telemetry, Trend Analysis, Use Cases

LOCATION

Lafayette, IN

POSTED

2 days ago

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.

nalytics, 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.

About the Company

ClifyX

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