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Industrial Data Engineer Jobs in Ohio (NOW HIRING)

... 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 ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

As a Data Engineer - Cloud/AI, you will design, build, and maintain scalable data pipelines and ... data centers and industrial facilities. Founded in 2016, the company is headquartered in ...

... Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics - 5 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data ...

... Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics - 5 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data ...

Data Engineer - Cloud/AI

Westerville, OH

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and ...

Industrial Engineer

Newark, OH · On-site

$64K - $86K/yr

We are looking for a Manufacturing Data Visualization Engineer to join our Advanced Engineering ... of industrial operations to deliver user-centered tools that improve situational awareness ...

Industrial Engineer

Ashville, OH

$64K - $86K/yr

Industrial Engineer This Industrial Engineer role focuses on developing and optimizing sub-assembly ... Support capacity planning by using labor standards and layout data to model throughput, constraints ...

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Industrial Data Engineer information

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.

What cities in Ohio are hiring for Industrial Data Engineer jobs?

Cities in Ohio with the most Industrial Data Engineer job openings:

Infographic showing various Industrial Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Industrial Data Systems Engineer

Hebron, OH

Other

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

We're looking for an Industrial Data Systems Engineer to own, support, and continuously improve the systems that collect, transport, store, protect, and make industrial operating data available across our operations. This hands-on OT and industrial data-platform role spans PLCs, industrial networks, SCADA/gateways, MQTT, historian systems, databases, and scripting.

What You'll Bring

  • A strong systems-thinking and troubleshooting mindset with the curiosity to learn unfamiliar technologies, interpret logs and diagnostics, research problems, and work with vendors on solutions.
  • Practical industrial automation knowledge, including how PLC programs, instrumentation, communications, and equipment operation affect data quality and reliability.
  • A detail-oriented approach to configuration management, tag structures, naming standards, data quality, documentation, and change control.
  • Strong communication and collaboration skills across Controls Engineering, IT, Operations, Field Service, Process 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, transport, buffer, store, calculate, and present operational data, including Canary Historian, Ignition, MQTT/Cirrus Link technologies, EWON remote connectivity, and associated services or comparable platforms.
  • Monitor platform health and data ingress, proactively identifying missing data, failed connections, service issues, resource constraints, and abnormal system behavior.
  • Configure new equipment, sites, and integrations using PLC/OPC connectivity, Ignition gateways, MQTT sessions, historian datasets, tag structures, metadata, hierarchies, deadbands, and data-quality settings.
  • Develop and maintain standardized tag structures, templates, naming conventions, and configuration processes; validate data against PLC programs, instrumentation, equipment operation, and source tags to confirm the correct process information is being collected.
  • Troubleshoot the complete industrial data path across PLC communications, OPC, VPN/network connectivity, Ignition, MQTT Transmission/brokers, collectors, store-and-forward services, historian services, calculations, and visualization applications; use logs, diagnostics, database errors, and performance information to identify root causes.
  • Develop, maintain, and execute data-recovery and disaster-recovery procedures for locally buffered, MQTT/store-and-forward, historian, and embedded-database data; manage buffering behavior to minimize data loss during outages, maintenance, and upgrades.
  • Plan and execute upgrades, patches, module updates, configuration changes, and migrations using appropriate testing, backup, rollback, and verification practices; maintain historian calculations, derived tags, events, quality handling, and views.
  • Develop and support Axiom applications, trends, dashboards, reports, and other tools that make historian data useful to engineering, operations, and business users.
  • Develop scripts and utilities using Python, SQL, JSON, CSV, SQLite/H2, APIs, and related technologies for configuration, tag creation, validation, transformation, recovery, diagnostics, and administrative automation.
  • Work with IT on servers/VMs, backups, networking, DNS, firewalls, Active Directory, and infrastructure dependencies; support secure operation through appropriate access, certificates/TLS, service accounts, credentials, and remote connectivity.
  • Manage vendor support relationships and cases, including collecting diagnostics, testing fixes, and escalating unresolved issues; track software licenses, support agreements, annual renewals, subscriptions, certificates, and vendor contacts.
  • Maintain system documentation and operational runbooks, including architecture, configuration standards, inventories, support contacts, troubleshooting/recovery/upgrade procedures, and known issues; provide technical training and knowledge transfer.
  • Continuously improve reliability, monitoring, standardization, automation, scalability, cybersecurity, and supportability, and participate in the long-term design and evolution of the industrial data architecture.

What You'll Need

  • Associate or bachelor's degree in Electrical Engineering, Controls/Automation Engineering, Computer Engineering, Computer Science, Information Technology, or a related field; equivalent relevant industrial experience may be considered.
  • Three or more years of experience in industrial automation, controls, SCADA, historian platforms, OT systems, industrial data systems, or a related technical environment.
  • Working knowledge of PLC-based automation systems and the ability to read PLC programs to identify process signals and historian data sources; Allen-Bradley/Rockwell Automation experience is strongly preferred.
  • Experience with industrial communications such as OPC/OPC UA, MQTT, Sparkplug B, EtherNet/IP, and Modbus, plus administration or support of an industrial historian, SCADA, IIoT, or data platform. Experience with Ignition and Canary Historian is strongly preferred; comparable platforms will be considered.
  • Understanding of OT networking and infrastructure concepts including TCP/IP, DNS, VPNs, firewalls/ports, certificates/TLS, Windows services, servers, and virtual machines.
  • Working knowledge of Python and SQL/database concepts, with experience using structured data and configuration formats such as JSON, CSV, and APIs; SQLite/H2 familiarity is beneficial.
  • Experience interpreting logs, error messages, trace files, diagnostic packages, and other technical information during troubleshooting.
  • Strong documentation, communication, organization, time-management, and problem-solving skills with the ability to work independently and collaboratively.
  • Canary Historian administration, including Historian, MQTT Collector, SAF, Views, Calculations/Events, Axiom, and related services.
  • Inductive Automation Ignition Gateway/Edge/EAM, Cirrus Link MQTT Transmission/broker technologies, and EWON/eCatcher remote access and data collection.
  • Historian calculations, data-quality management, derived tags, deadbanding, store-and-forward architectures, and industrial data recovery/disaster recovery.
  • Windows Server and virtualized OT infrastructure; software lifecycle management including testing, upgrades, rollback, licensing, and vendor support.
  • Power BI, Tableau, Axiom, or comparable visualization/reporting platforms.

Benefits and Perks

  • Competitive salary with opportunities for career growth and advancement
  • Medical, dental, and vision coverage
  • 401(k) with company match
  • Paid time off and floating holidays
  • Volunteer Time Off (VTO) to give back to your community
  • Employee referral bonus program
  • Wellness benefits that support your overall health and well-being
  • Opportunities for professional development, training, and leadership growth
  • Collaborative and supportive team environment
  • Stable company with long-term career opportunities

Who Thrives Here

You enjoy meaningful work and take pride in contributing to a team that values collaboration, professionalism, and continuous improvement. You communicate effectively, build strong relationships, and look for ways to enhance processes and service. You understand that success comes from accountability, teamwork, and doing the right thing for customers and colleagues.

You’ll fit right in if you are:

  • Motivated by purpose, service, and delivering results
  • Organized, dependable, and committed to high-quality work
  • A strong communicator who builds positive working relationships
  • Proactive and solution-oriented
  • Adaptable and open to learning and growth
  • Someone who values respect, teamwork, and professionalism

We believe a strong workplace is built on trust, innovation, and a shared commitment to excellence—where every team member plays a role in delivering a premier service experience.