Industry 4.0 Full Stack Machine Connectivity & Analytics EngineerConfidential • Lafayette, Louisiana, United States
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Industry 4.0 Full Stack Machine Connectivity & Analytics Engineer
Confidential
- Lafayette, Louisiana, United States
- Lafayette, Louisiana, United States
About
Industry 4.0 Full‑Stack Machine Connectivity & Analytics Engineer Location:
Lafayette-IN (In plant, No WFH) Contract Client -Infosys Role Summary Required Full‑stack Industry 4.0 contractor
to connect manufacturing equipment, collect and structure machine and process data, and convert that data into
actionable, decision‑ready insights . This role bridges
OT/IT connectivity, data engineering, and manufacturing analytics , partnering closely with manufacturing engineering, operations, controls/IT‑OT, and transformation teams. The contractor will focus on rapid enablement, practical solutions, and creating repeatable patterns that scale across assets and facilities. 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.
Languages
- English
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