Operational Technology Data Engineer

Perdue Agri Business is an international agricultural products and services company that handles agricultural commodities and a diverse portfolio of products and businesses. It is part of Perdue Farms, a fourth-generation, family-owned food and agricultural business deeply rooted in tradition yet with a forward-thinking mindset. We believe that success starts with our people, and our culture is built on a foundation of teamwork, integrity, and respect, where every voice matters and everyone is encouraged to contribute to our shared goals.

We are dedicated to creating a supportive, inclusive environment where associates feel valued and inspired to make an impact, both within the company and in the communities we serve. From promoting growth and development to prioritizing work-life balance, we're committed to helping our team members thrive. That's Perdue.

Summary

Build the digital backbone of our operations as an Operational Technology Data Engineer. In this role, you will modernize how industrial data is captured, secured, and transformed into actionable insights by supporting site and enterprise historian platforms and building scalable pipelines that move data from the plant floor to the cloud. You will partner with enterprise architects and cross functional teams to convert complex OT data into trusted, governed datasets that power analytics and drive smarter decisions across the business.

This opportunity is ideal for a forward-thinking engineer who is passionate about bridging OT and IT, strengthening data foundations, and enabling the next generation of operational performance.

The salary range for this position is $89,000 - $133,000 per year, based on experience and qualifications with annual bonus available (variable depending on performance).

In addition to the base salary, Perdue offers a competitive benefits package, including medical/Rx, 401(k) with employer match after 1 year, critical illness, accident insurance, dental, vision, life insurance, optional group life insurance, short-term and long-term disability protection, flexible spending accounts and paid time off.

Principal

Essential Duties & Responsibilities

* Administer, maintain, and optimize OT data historian systems (e.g., AVEVA PI, Factory Talk 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.

Minimum Education and Experience

* 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.

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