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Industrial Data Engineer Jobs (NOW HIRING)

Industrial Data Engineer

Sisters, OR · On-site

$114.70K - $137.70K/yr

Industrial Data Engineer Company Overview ENERGYneering Solutions (ESI), a division of TransTech Energy, provides exceptional technical expertise in engineering and operations for the biogas ...

Industrial Data Engineer

$117.20K - $140.70K/yr

Role Purpose The Industrial Data Engineer will serve as the technical and analytical bridge between Operations Technology (OT) and enterprise analytics. This role owns the end-to-end flow of ...

Operational Technology Data Engineer

Salisbury, MD · On-site

$113.10K - $135.80K/yr

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 ...

The Site IE data engineer will partner with the site teams to develop and execute the overall site FI activities to improve site performance by improving data management. They will be responsible for ...

Industrial Data Analytics Engineer

Mcelhattan, PA · On-site

$64K - $86.40K/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 ...

Data Engineer

Plano, TX · On-site

$109.60K - $131.60K/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 ...

Data Engineer

Durham, NC · On-site

$110.60K - $132.90K/yr

As the Data Engineer, you will design and build the data infrastructure that makes Vulcan ... common in industrial and IoT environments • Familiarity with industrial data concepts ...

Data Engineer

Durham, NC · On-site

$110.60K - $132.90K/yr

As the Data Engineer, you will design and build the data infrastructure that makes Vulcan ... common in industrial and IoT environments • Familiarity with industrial data concepts ...

Data Engineer

Raleigh, NC · On-site

$111.30K - $133.70K/yr

As the Data Engineer, you will design and build the data infrastructure that makes Vulcan ... common in industrial and IoT environments • Familiarity with industrial data concepts ...

Senior Data Engineer

Berkeley, CA · On-site

$130K - $176.60K/yr

The Senior Data Engineer will shape the data foundation for the company's technology, owning the ... with industrial data systems (Ignition, SCADA, time-series), BI tools, or climate/energy domain ...

Data Engineer

Durham, NC

$110.60K - $132.90K/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

$83.5K

$116K

How much do industrial data engineer jobs pay per year?

As of May 31, 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.

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 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.

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 May 2026, with employment types broken down into 3% As Needed, 85% Full Time, 3% Part Time, 2% Temporary, 5% Contract, and 2% Nights. Highlights an 84% Physical, 13% Hybrid, and 3% Remote job distribution, with an average salary of $83,498 per year, or $40.1 per hour.

Industrial Data Engineer

ESI Solutions

Sisters, OR • On-site

$114.70K - $137.70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Industrial Data Engineer

Company Overview

ENERGYneering Solutions (ESI), a division of TransTech Energy, provides exceptional technical expertise in engineering and operations for the biogas utilization and management industries. Since 2007, ESI has specialized in design, construction, and operations for biogas projects that collectively produce over one million MWh of renewable electricity and over 50 million gallons of renewable vehicle fuel every year. ESI is built upon the principle of providing our clients with unmatched experience, flexibility, and follow-through.

Job Overview

ESI is seeking an Industrial Data Engineer to design, build, and maintain data solutions that connect operational technology (OT) systems with enterprise analytics. This role develops scalable ingestion, transformation, and storage pipelines for SCADA platforms, relational databases, enterprise systems, and reporting tools. The position converts raw operational and business data into trusted datasets, dashboards, and automated reports used by engineering, operations, customers, and regulatory stakeholders.

Success in this role requires a builder's mindset, strong SQL and SCADA skills, comfort working with industrial systems, and the ability to translate operational needs into reliable data products. The Industrial Data Engineer supports the full delivery lifecycle, including requirements gathering, code development, testing, CI/CD, production deployment, documentation, user support, and ongoing optimization.

Work Location and Reporting

This is role based in Sisters, Oregon (Headquarters). The Industrial Data Engineer reports to the IT & Network Lead.

Key Responsibilities

· Develop intuitive dashboards and automated production reports for RNG facilities, internal stakeholders, external clients, and regulatory bodies such as the EPA.

· Create reliable, consumable data models for Power BI, Tableau, and other analytics tools, with clear definitions for KPIs, operational metrics, and data trends.

· Design, build, and maintain scalable data ingestion, transformation, and storage pipelines that support enterprise analytics and operational reporting.

· Integrate data from SCADA systems, including Ignition, FactoryTalk, Wonderware and similar platforms, with enterprise systems and analytics.

· Monitor and optimize dashboards, applications, queries, and pipelines; improve data integrity, security, availability, and performance.

· Develop and maintain software applications and scripts that support RNG facility operators, site owners, engineering teams, and business users.

· Connect software and data solutions with existing platforms used by RNG facilities, ensuring reliable data flow across systems.

· Use Git/GitHub and modern development practices to support code review, testing, deployment to production, and ongoing platform improvement.

· Provide technical support, documentation, and user training so teams can effectively use data tools, dashboards, and software solutions.

· Partner with engineers, project managers, facility operators, IT, and operations teams to understand needs and deliver practical, maintainable solutions.

· Maintain clear documentation for data pipelines, data models, software applications, integrations, dashboards, reports, and support processes.

· Other duties as assigned.


Qualifications

Required / Core Qualifications

· Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Data Analytics, or a related field preferred; equivalent practical experience will be considered.

· 3-4+ years of experience in data engineering, software development, business intelligence, analytics engineering, or a closely related technical role.

· Strong SQL skills and experience working with relational databases such as PostgreSQL, Microsoft SQL Server, MySQL, or similar systems.

· Working knowledge of Python, JavaScript, HTML, and/or Java.

· Experience building dashboards and reports using Power BI, Tableau, or similar visualization tools.

· Experience building ETL/ELT processes, data pipelines, and structured datasets from multiple source systems utilizing prefect and DBT or similar.

· Familiarity with SCADA or industrial automation platforms such as Ignition, FactoryTalk, Wonderware, or similar systems.

· Experience with Git/GitHub and development lifecycle practices such as code review, testing, CI/CD, and deployment support.

· Strong analytical, troubleshooting, and problem-solving skills, with attention to data quality and operational reliability.

· Excellent verbal and written communication skills, including the ability to explain technical concepts to non-technical users.

· Ability to work independently, manage priorities, self-motivate, and collaborate effectively in a fast-paced team environment.


Preferred Qualifications

· Experience in renewable energy, renewable natural gas (RNG), utilities, industrial operations, or process manufacturing environments.

· Experience with time-series or historian data, SCADA tags, OPC UA, MQTT, APIs, or other industrial data integration patterns.

· Advanced SQL skills, including window functions, query optimization, deduplication, stored procedures, and performance tuning.

· Experience with cloud or modern data platforms such as Microsoft Azure, Microsoft Fabric, AWS, Snowflake, Databricks, or similar technologies.

· Knowledge of AI, machine learning, advanced statistical methods, or predictive analytics.

· Understanding of OT/IT security, data governance, and documentation practices in industrial environments.


Benefits Designed to Work for You:

· Choice of healthcare plans, with a no-cost HSA option

· Company HSA contributions for eligible employees

· 401(k) with generous company match and full vesting upon eligibility

· Dental, vision, and optional coverages like accident & critical illness insurance

· Company-paid Life, Long Term Disability, and AD&D insurance

· Confidential support for mental health, family matters, legal concerns, and more through our Employee Assistance Program

· Discounts on gyms, shopping & entertainment

· Health benefits kick in fast – first of the month after 30 days

Time Off We offer a variety of paid time off options to support rest, wellness, and personal needs:

· Paid Time Off

· Paid Holidays

· Bereavement Leave


This organization provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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