Industry 4.0 Full Stack Machine Connectivity & Analytics Engineer
Contract W2
Contract Independent
Contract Corp To Corp
Staffingine LLC
Fitment
Dice Job Match Score™
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Job Details
Skills
- Full Stack and analytics
Summary
Role: Industry 4.0 Full Stack Machine Connectivity & Analytics Engineer
Expected year of Exp: 7-10 years
Location: Lafayette, IN (In plant, No WFH)
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.
Location: Lafayette, IN (In plant, No WFH)
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91165639
- Position Id: 2026-17552
- Posted 1 day ago
Company Info
Staffingine LLC specializes in enhancing organizational performance through the effective and competent application of technology and outsourcing solutions for our clients. Our objective is to not only solve short term business and technology needs, but to create next-generation of competitive advantages that drive future growth and success.
With the state of the art development center in Noida and associates working in India and US, we provide services to businesses globally. Our broad resource of associates ensures that our clients have easy access to resources that they need in their specific business and technical domain. Staffingine's resources, coupled with Staffingine Group widely spread channel & infrastructure, gives client unique scalability to meet the needs of projects of any size, at any location.
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