Industry 4.0 Engineer

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

Seeking 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 decisions.
• Contribute to development of repeatable deployment patterns and best practices that can be reused across sites.

Deliverables (Contract Oriented)

• Connected asset and data source inventory with signal definitions and data quality notes.
• Initial analytics package (dashboards and/or reports) tied to specific, agreed upon operational questions.
• Documented data pipeline and reporting approach suitable for handoff or replication.
• Established cadence for insight review and action tracking with plant stakeholders.

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.