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Industrial Data Engineer Jobs (NOW HIRING)

Vulcan Elements

Data Engineer

Durham, NC

$110K - $132K/yr

As the Data Engineer, you will design and build the data infrastructure that makes Vulcan ... Familiarity with industrial data concepts -- historian data, process tags, OT/IT integration -- and ...

Hersheys

Staff Engineer OT Digital Systems

Hershey, PA · On-site

The OT Data Engineer - Unified Namespace is responsible for designing and implementing scalable industrial data solutions that enable real-time visibility and integration across manufacturing systems.

Vulcan Elements

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

As the Data Engineer, you will design and build the data infrastructure that makes Vulcan ... Familiarity with industrial data concepts -- historian data, process tags, OT/IT integration -- and ...

Vulcan Elements

NC

$107K - $129K/yr

As the Data Engineer, you will design and build the data infrastructure that makes Vulcan ... Familiarity with industrial data concepts -- historian data, process tags, OT/IT integration -- and ...

HCL Global Systems

Manufacturing Data Architect

Dallas, TX · On-site

$63.25 - $81.50/hr

This person will work closely with manufacturing, operations, engineering, and IT teams to create an industrial data backbone that supports real-time visibility, predictive analytics, and digital ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer #1055558 * Employees in this job function are responsible for designing, building ... Experience with any of the ETL, data integration products or any industrial data service.

Iff

AI Engineer, Industrial

New York, NY · On-site +1

$76K - $103K/yr

Build AI-enabled applications that combine models, data pipelines, prompts,agents,evaluations ... industrial environments. * Collaborate across data science, engineering, digital technology ...

Iff

AI Engineer, Industrial

Wilmington, DE · On-site +1

$67K - $91K/yr

Build AI-enabled applications that combine models, data pipelines, prompts,agents,evaluations ... industrial environments. * Collaborate across data science, engineering, digital technology ...

Ready Foods

Data Engineer

Denver, CO · On-site

$120K/yr

The Data Engineer is responsible for supporting the extract, transform, and load processes of our industrial internet of things (IoT) data and enterprise data. This position is full-time salaried ...

Very Stable, U.S. based manufacturing company with customers in various industries.

Be Seen First

Data Engineer IoT PLC Machinery Industrial Data pushes and pulls, new

Troy, MI · On-site

$110K - $145K/yr

Experience: 5+ years of experience in data engineering or quality analytics, with a distinct focus on processing industrial, manufacturing, or spatial/dimensional data. * The Python Data Stack:

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Industrial Data Engineer information

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$116K

How much do industrial data engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for industrial data engineer in the United States is $83,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $94,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Industrial Data Engineer, and why are they important?

To thrive as an Industrial Data Engineer, you need strong expertise in data engineering, industrial automation, and programming languages such as Python or SQL, usually supported by a degree in engineering, computer science, or a related field. Familiarity with industrial IoT systems, SCADA, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Azure Data Engineer are typically required. Excellent problem-solving, communication, and teamwork skills help you work effectively with multidisciplinary teams and stakeholders. These skills are essential for designing robust data pipelines and analytics solutions that optimize manufacturing processes and drive operational efficiency.

What is the meaning of industrial?

In the context of an Industrial Data Engineer, 'industrial' relates to manufacturing, production, or large-scale systems where data is collected and analyzed to improve efficiency and operations. It often involves working with industrial control systems, sensors, and automation tools within manufacturing environments.

What is an Industrial Data Engineer?

An Industrial Data Engineer is a professional who designs, develops, and maintains data systems specifically for industrial environments such as manufacturing plants, utilities, or supply chains. They focus on collecting, processing, and analyzing data from industrial equipment and processes to optimize performance, improve efficiency, and support decision-making. Their work often involves integrating data from sensors, control systems, and enterprise platforms, ensuring data quality, and enabling advanced analytics such as predictive maintenance and process optimization.

How does an Industrial Data Engineer typically collaborate with operations and maintenance teams on data-driven projects?

Industrial Data Engineers frequently work closely with operations and maintenance teams to understand equipment performance, process flows, and areas for efficiency improvement. They gather requirements from these teams, design data collection systems, and translate operational challenges into actionable data solutions. Regular communication ensures that the data pipelines and analytics they develop are practical and directly support production goals. This collaboration not only improves asset reliability and process optimization but also helps data engineers gain valuable domain knowledge to drive impactful insights.

What does an industrial job mean?

An industrial job typically involves working in manufacturing, production, or processing environments such as factories or plants. These roles often require knowledge of machinery, safety protocols, and may involve operating equipment, maintaining systems, or analyzing data related to industrial processes, which an Industrial Data Engineer might do to optimize operations.

What is the difference between Industrial Data Engineer vs Data Analyst?

AspectIndustrial Data EngineerData Analyst
CredentialsBachelor's in Engineering, Computer Science, or related field; certifications in data engineering or cloud platformsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentIndustrial settings, manufacturing plants, or data centersOffice environments, corporate or business settings
Industry UsageManufacturing, energy, logistics, and industrial sectors

Industrial Data Engineers focus on designing and maintaining data infrastructure for industrial processes, integrating sensor data, and optimizing manufacturing operations. Data Analysts interpret data to generate reports and insights for business decisions. While both roles handle data, Industrial Data Engineers build the systems that Data Analysts use to analyze industrial data effectively.

What does it mean to call something industrial?

In the context of an Industrial Data Engineer, 'industrial' refers to environments related to manufacturing, production, or large-scale systems. It often involves working with data from machinery, automation, and industrial processes, requiring knowledge of specialized tools and standards used in industrial settings.

What does it mean to be industrial?

In the context of an industrial data engineer, being industrial refers to working within manufacturing, production, or industrial environments where data is collected from machinery, sensors, and processes. The role involves analyzing and optimizing industrial operations using data analytics, automation tools, and industrial protocols like SCADA or PLC systems.
More about Industrial Data Engineer jobs
What cities are hiring for Industrial Data Engineer jobs? Cities with the most Industrial Data Engineer job openings:
What states have the most Industrial Data Engineer jobs? States with the most job openings for Industrial Data Engineer jobs include:
What job categories do people searching Industrial Data Engineer jobs look for? The top searched job categories for Industrial Data Engineer jobs are:
Industrial Data Engineer jobs near you
Infographic showing various Industrial Data Engineer job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 89% Full Time, 3% Part Time, 3% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $83,498 per year, or $40.1 per hour.
Sr. Principle Global Industrial Analytics Engineer

Sr. Principle Global Industrial Analytics Engineer

Alcon

Fort Worth, TX • On-site

$41 - $56/hr

Full-time

Medical, Life, Retirement

Posted 9 days ago

Alcon rating

7.8

Company rating: 7.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

166th of 520 rated manufacturers

Job description

At Alcon, we're passionate about enhancing sight and helping people see brilliantly. With more than 25,000 associates, we innovate fearlessly, champion progress, and act swiftly to impact global eye health. We foster an inclusive culture, recognizing your contributions and offering opportunities to grow your career like never before. Together, we make a difference in the lives of our patients and customers. Are you ready to join us?
We foster an inclusive culture and are looking for diverse, talented people to join Alcon. Alcon has ambitious plans to blend modern manufacturing technologies with digital technologies. This position will serve as a global technical authority for manufacturing data system architecture, analytics enablement, and advanced industrial intelligence. This role is responsible for defining, standardizing, and governing the OT data architecture and technology stack, ensuring manufacturing data is moved from shop-floor OT systems into IT and cloud environments.
This position will establish global data contextualization standards and governance, enabling scalable analytics, AI/ML solutions, dashboards, and predictions across similar sites, assets, and process types. The role will drive the development of insight-generating capabilities-including trending, alerting, and optimization-while continuously evaluating and deploying state-of-the-art technologies to enable advanced use cases such as predictive maintenance, automated diagnostics, and closed-loop process control.
A key aspect to the role will require close collaboration across multiple local/global functions including engineering, data science, data engineering, and IT teams. Direct manufacturing experience is required to ensure practical systems and solutions are defined and implemented which meet the needs of manufacturing teams.
In this role, a typical day will include:
OT Data Architecture & Technology Standards
  • Define and own the global OT data architecture strategy, including data acquisition, middleware, historian strategy, contextualization layers, and data pipelines.
  • Select and standardize industrial data platforms, protocols, and middleware (e.g., OPC UA, MQTT, historians, industrial edge platforms).
  • Ensure secure, reliable, and scalable data movement from OT to IT and cloud environments in alignment with corporate cybersecurity policies.
  • Establish reference architectures and implementation patterns for manufacturing sites globally.

Data Contextualization, Governance & Standardization
  • Lead development of global data models, asset hierarchies, naming conventions, and contextualization frameworks.
  • Own governance processes to ensure data consistency across sites, equipment types, and process technologies.
  • Enable reuse of analytics by ensuring that similar assets and processes generate comparable, high-quality data.
  • Partner with manufacturing, engineering, and IT teams to drive adherence to standards while allowing necessary local flexibility.

Analytics, Insights & Value Creation
  • Drive development of analytics enablement layers that support dashboards, trending, alerting, and anomaly detection.
  • Collaborate with data scientists and operations teams to deploy AI/ML models for manufacturing use cases.
  • Translate manufacturing pain points into data-driven insights and actionable intelligence.
  • Enable systematic identification of OEE improvements across diverse equipment and processes.

Advanced Manufacturing Intelligence
  • Support the assessment and creation of state-of-the-art industrial analytics technologies that scale, including:
    • Predictive and prescriptive maintenance
    • Process optimization and digital twins
    • Closed-loop control and automated decision-making
  • Partner with controls engineers and operations to integrate analytics outputs into automated or semi-automated control strategies.
  • Drive roadmap development for advanced manufacturing intelligence capabilities.

Global Leadership & Collaboration
  • Serve as a technical leader and subject matter expert across a global manufacturing network.
  • Collaborate with Manufacturing, Automation, IT, Cybersecurity, Data Science, and Cloud teams.
  • Support site deployments, scaling successful pilots into sustainable global solutions.
  • Mentor engineers and influence technical direction without direct authority where applicable.

What You'll Bring to Alcon:
  • Bachelor's Degree or Equivalent years of directly related experience (or high school +15 yrs; Assoc.+11 yrs; M.S.+4 yrs; PhD+3 yrs)
  • The ability to fluently read, write, understand, and communicate in English
  • 7 Years of Relevant Experience
  • 5 Years of Demonstrated Leadership

Preferred Qualifications:
  • Strong understanding of manufacturing systems and automation, including PLCs, SCADA, historians, MES, and ERPs.
  • Hands-on experience with industrial data protocols and platforms (e.g., OPC UA, MQTT, REST APIs).
  • Experience building or governing contextualized manufacturing data models.
  • Familiarity with cloud platforms (Azure, AWS, GCP) and data services (data lakes, streaming, analytics).
  • Experience enabling or collaborating on AI/ML solutions for manufacturing.
  • Understanding of industrial cybersecurity principles and IT/OT security boundaries.
  • Experience with time-series data analytics, visualization, and alerting.
  • Understanding of predictive maintenance, reliability analytics, and process optimization.
  • Familiarity with digital twin concepts and closed-loop optimization strategies.
  • Ability to translate complex technical concepts into business value.

How You Can Thrive at Alcon:
  • See your career like never before with focused growth and development opportunities
  • Join Alcon's mission to provide outstanding, innovative products and solutions to improve sight, improve lives, and grow your career!
  • Alcon provides robust benefits package including health, life, retirement, flexible time off, and much more!

See your impact at alcon.com/careers
ATTENTION: Current Alcon Employee/Contingent Worker
If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.
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ALCON IS AN EQUAL OPPORTUNITY EMPLOYER AND PARTICIPATES IN E-VERIFY
Alcon takes pride in maintaining an inclusive environment that values different perspectives and our policies are non-discriminatory in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Alcon is also committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an email to alcon.recruitment@alcon.com and let us know the nature of your request and your contact information.

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