Full Stack Machine Connectivity & Analytics Engineer

ClifyX, INC

Lafayette, IN

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JOB DETAILS

SKILLS

Analysis Skills, Best Practices, Continuous Deployment/Delivery, Continuous Improvement, 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

18 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.

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.

About the Company

ClifyX, INC

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