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Industrial Data Engineer Jobs (NOW HIRING)

$85 - $120/hr

The Industrial Data Engineer will lead engineering data activities related to change management, document control, downtime analysis and capital project facilitation (FEL process) across our North ...

New

Industrial Data Engineer

White, GA · On-site

$61K - $83K/yr

The Industrial Data Engineer will lead engineering data activities related to change management, document control, downtime analysis and capital project facilitation (FEL process) across our North ...

Industrial Data Engineer

Plymouth, MI · On-site

$66K - $90K/yr

The Industrial Data Engineer will lead engineering data activities related to change management, document control, downtime analysis and capital project facilitation (FEL process) across our North ...

MI · On-site

$90 - $130/hr

Job Summary The Industrial Data Engineer will lead engineering data activities related to change management, document control, downtime analysis and capital project facilitation (FEL process) across ...

New

Industrial Data Engineer

Van Buren Township, MI · On-site

$65K - $88K/yr

The Industrial Data Engineer will lead engineering data activities related to change management, document control, downtime analysis and capital project facilitation (FEL process) across our North ...

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $145K/yr

Sr. Data Engineer, Microsoft Fabric & Power BI Location: Vadnais Heights, MN (Hybrid) What is IP ... The ideal candidate is passionate about modern data platforms, industrial data integration, and ...

... Engineering, vendors, and other stakeholders, including sound judgment on when to escalate issues. What You'll Do * Own and support the industrial data historian platform and the systems that collect ...

New

$85 - $115/hr

Industrial Data & Controls EngineerPosition Overview Join a Team Where Innovation Meets Real-World Impact We're looking for a Controls & Automation Engineer to join our Divisional Engineering team ...

New

$93K - $112K/yr

Design, develop, and maintain data solutions leveraging Microsoft Azure, Databricks, InfluxDB, Industrial IoT data sources , and modern data engineering practices. * Design, develop, and maintain ETL ...

Forward Deployed Data Engineer

Golden, CO

$118K - $142K/yr

Bachelor's degree in Engineering, Industrial Engineering, Manufacturing Systems, Data Analytics, Computer Science, Information Technology, or a related field required. * Master's degree preferred.

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

Bachelor's degree in Engineering, Industrial Engineering, Manufacturing Systems, Data Analytics, Computer Science, Information Technology, or a related field required. * Master's degree preferred.

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Industrial Data Engineer information

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How much do industrial data engineer jobs pay per year?

As of Aug 23, 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 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 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 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.

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:

Infographic showing various Industrial Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,498 per year, or $40.1 per hour.

$85 - $120/hr

Other

Posted 2 days ago

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Job description

Job Summary: The Industrial Data Engineer will lead engineering data activities related to change management, document control, downtime analysis and capital project facilitation (FEL process) across our North American operations. This role is critical in ensuring data accuracy, compliance, and seamless coordination across cross-functional teams. The expected outcome of this role is to deliver on time cost-effective changes, analyze engineering data, and ensure documentation meets internal and external customer requirements.

Responsibilities
  • Leads Engineering Change Requests (ECRs) for all engineering data that affects customer, supplier, and internal changes.
  • Tracks ECR progress and collects evidence for the change from the team.
  • Ensures accurate equipment set up in Plex (assets, naming, work logs connections).
  • FEL project governance, ensuring process functionality, updates, and user training.
  • Oversees document control through: uploading files, naming standards, managing permissions, and tracking approvals.
  • Leads regular product reviews for Foundational FMEA with A3/8D tie in to our engineering standard updates.
  • Technical data owner responsible for collecting, retaining and analyzing operational, equipment and asset data to increase business competitiveness.
Qualifications
  • Bachelor’s degree in Manufacturing, Mechanical or Industrial Engineering (required)
  • Derive information from part prints (Weight, Part Count, Part No., Rev Level, GD&T Basics) (required)
  • Strong project organiztion, presentation and cross-functional coordination skills (required)
  • Experience with audits and standards (preferred)
  • Familiarity with financial processes (costing, quoting, purchase orders (preferred)
  • Ability to use Plex or similar ERP systems, ability to use Excel, capable in PowerPoint (required)
  • Proficient in Teams, Copilot or simialr AI, SharePoint, Power apps & Power Automoate (preferred)
About Constellium ASNA – Automotive Structures North America

Constellium Automotive Structures North America is a business unit of Constellium. We operate production facilities in Van Buren, and San Louis Potosí, MEX. We deliver high quality, infinitely recyclable aluminum solutions to major domestic and international OEM’s and our portfolio consists of Body Structures, Crash Management Systems and Engineer Carriers.

Constellium is an Equal Opportunity Employer : Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

The COO together with the BUs will be responsible for the CII program execution, while audit and tracking of the CII deliveries will department.

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