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Industrial Data Engineer Jobs (NOW HIRING)

CoorsTek

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.

CoorsTek, Inc.

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.

Truck-Lite

Industrial Data Analytics Engineer

Mcelhattan, PA · On-site

$64K - $86K/yr

... Industrial or Manufacturing Engineering degree with Data Analytics specialization preferred • Specific Skills and/or Experience with Software, Equipment, etc.: • Databases and Platforms: Db2 SQL ...

Ascentt

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

We partner with global manufacturing enterprises to convert complex industrial data into actionable, real-time business insights. Our teams work on scalable, high-impact engineering challenges across ...

Seurat Technologies

Data Engineer

Wilmington, MA · On-site

$125K - $150K/yr

They are seeking an experienced Data Engineer to own and expand the upstream data foundation ... Preferred : • Experience with manufacturing or industrial data, such as high-frequency sensor ...

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

$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 ...

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Industrial Data Engineer information

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$36K

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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
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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.
Operational Technology Data Engineer

Operational Technology Data Engineer

Perdue Farms

Salisbury, MD • On-site

$113K - $135K/yr

Full-time

Posted 16 days ago

Perdue Farms rating

6.4

Company rating: 6.4 out of 10

Based on 96 frontline employees who took The Breakroom Quiz

256th of 388 rated food and drinks producers

Job description

Job Summary:
Perdue AgriBusiness is an international agricultural products and services company that is part of Perdue Farms, a family-owned food and agricultural business. They are seeking an Operational Technology Data Engineer to modernize industrial data capture and transform it into actionable insights by building scalable data pipelines and partnering with cross-functional teams to enhance operational performance.
Responsibilities:
• Administer, maintain, and optimize OT data historian systems (e.g., AVEVA PI, FactoryTalk Historian, Canary, Ignition).
• Ensure high quality, continuous capture of time series data from PLCs, SCADA, sensors, and edge systems.
• Troubleshoot data flow issues and improve ingestion patterns such as compression, buffering, and contextualization.
• Design and implement secure, scalable OT data pipelines following OT IT segmentation standards.
• Develop cloud ingestion workflows using historian replication tools, edge gateways, IoT messaging systems, or custom pipelines.
• Ensure reliable, governed, one way movement of OT data to cloud environments.
• Partner with Enterprise Architecture and BI teams to define OT data models, metadata standards, and governance requirements.
• Transform raw OT datasets into curated, production ready assets for analytics, reporting, and machine learning.
• Implement repeatable data onboarding frameworks to support multi-site expansion.
• Apply enterprise naming conventions, metadata standards, and data validation rules.
• Monitor pipeline health, latency, schema changes, and historian system integrity.
• Follow cybersecurity standards for OT—ensuring read only access, one-way pathways, and adherence to network segmentation policies.
• Work closely with business leadership, operations, engineering, maintenance, controls, IT infrastructure, and enterprise data teams.
• Participate in design reviews, architecture discussions, and continuous improvement initiatives.
• Translate plant floor needs into scalable enterprise data solutions.
Qualifications:
Required:
• Bachelor’s Degree in Engineering, Computer Science, IT, Data Engineering, or related field—or equivalent experience.
• 4+ years of experience with OT systems, industrial data, or data engineering.
• Hands-on experience with data historian platforms (e.g., AVEVA PI, FT Historian, Canary, Ignition).
• Proficiency in data pipeline tools such as SQL, Python, REST APIs, or cloud ingestion frameworks.
• Familiarity with industrial protocols (EtherNet/IP, Modbus, OPC UA) and SCADA/PLC environments.
• Understanding of cloud data platforms (Azure, AWS, Snowflake, or Databricks) and time-series data modeling.
• Knowledge of OT cybersecurity concepts, segmentation, and iDMZ architectures.
• Knowledge of ISA 95, IEC 62443, or OT risk management frameworks.
Preferred:
• Experience building or supporting enterprise OT to cloud data architectures.
• Exposure to enterprise data lakes, data governance frameworks, and metadata/catalog platforms.
• Experience with OPC UA, MQTT, and modern IIoT platforms for secure, scalable industrial data integration.
• Hands-on experience developing Power BI dashboards or working with analytics teams to transform OT data into actionable visualizations.
Company:
Perdue Farms is dedicated to enhancing the quality of life for everyone we touch through innovative food and agricultural products Founded in 1920, the company is headquartered in Salisbury, USA, with a team of 10001+ employees. The company is currently Late Stage.

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