Industry 4.0 Engineer at INFOSYS NOVA HOLDINGS LLC, Lafayette, IN
Industry 4.0 Engineer at INFOSYS NOVA HOLDINGS LLC in Lafayette, IN. Contract. Est. up to $130k. Apply with swipeandhired.
- Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Location: Lafayette, IN (on-site 5 days a week) Years of experience required: 7-20 years Overview S eeking a full‑stack Industry 4.0 contractor to help accelerate our journey 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