Digital Manufacturing Engineer

fairlife•New York, MI

About The Position

fairlife, LLC is a Chicago-based nutrition company that creates great-tasting, nutrition-rich and dairy products to nourish consumers. With over $3B in annual retail sales, fairlife’s portfolio of delicious, lactose-free, real dairy products includes: fairlife® ultra-filtered milk ; Core Power® High Protein Shakes, a sports nutrition drink to support post-workout recovery; fairlife® nutrition plan™ , a nutrition shake to support the journey to better health. A wholly owned subsidiary of The Coca-Cola company, fairlife, LLC has been recognized by both Fast Company and Nielsen for its industry leading innovation. To learn more about fairlife and its complete line of products, please visit fairlife.com . job purpose The Digital Manufacturing Engineer will support fairlife's ambition of building a best-in-class Decision Intelligence (DI) ecosystem by serving as the bridge between our factory floor systems and our data infrastructure. This role is deeply embedded in manufacturing operations, with primary responsibility for our DI Ignition platform and the data it generates across all sites. The ideal candidate comes from a manufacturing or industrial automation background and is eager to grow their skills in SQL, Python, and cloud-based data tools.

Requirements

Bachelor's degree in engineering, computer science, information systems, or related field
2+ years of experience in a manufacturing or industrial automation environment
Experience with Ignition SCADA software, specifically:
Building views and dashboards using the Perspective module
Managing User Defined Types (UDTs) for scalable tag management
Connecting Ignition to PLCs, SCADA platforms, and databases for telemetry data consumption
Strong understanding of PLCs (Rockwell, Siemens, B&R) and MES systems, including the ability to read and interpret PLC logic to evaluate and select appropriate tags from source systems
Understanding of industrial data exchange concepts: OPC, Modbus, MQTT, etc.
Understanding of industrial networking and on-prem resource administration concepts
Experience with SQL and/or Python preferred; willingness to learn these skills is required
Experience with Azure or other cloud platforms is a plus; willingness to learn is required
Growth mindset with a passion for data-driven manufacturing
Excellent communication and documentation skills
Ability to handle ambiguity and work in a fast paced, entrepreneurial environment
Flexible working in a 24/7 manufacturing facility
This position requires current authorization to work in the United States. Visa sponsorship is not available for this position.

Responsibilities

Own and maintain the Decision Intelligence team's Ignition instances across all manufacturing sites, and partner with IT and OT teams who own enterprise Ignition administration
Analyze source PLC systems, read and interpret PLC logic to identify appropriate tags, and configure them correctly in Ignition
Support the connection of factory PLCs and equipment to Ignition and ensure system uptime
Work closely with manufacturing, line integrators, and vendors during installation/validation/operation of factory systems (PLCs, MES, etc.)
Troubleshoot data flow issues between manufacturing equipment and our IoT platform
Support the configuration and maintenance of industrial data exchange tools
Collaborate with the Decision Intelligence team to integrate factory data into our broader data ecosystem
Develop and grow skills in SQL and Python to support reporting and analytics needs

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