Industry ‑Stack Machine Connectivity & Analytics Engineer

Role: Industry 4.0 Full‑Stack Machine Connectivity & Analytics Engineer

Location: Lafayette-IN (In plant, No WFH)

Expected year of Exp: 7-10 year

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.

• 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.
• Structure, normalize, and prepare machine and operational data so it is usable for analytics and reporting.
• Document data definitions, assumptions, and limitations to enable sustainment and scale.

• 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.

• 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.

• 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.
• Exposure to reliability, asset performance, predictive maintenance, or process monitoring use cases.

Familiarity with structured deployment playbooks, continuous‑improvement cadences, and sustainment models