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.
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
skills/qualifications
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.
position location: Webster, NY or Coopersville, MI
reports to: Director, Data Engineering
travel requirements: 20-30%
exempt/nonexempt:exempt
*Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Base pay range:
$100,000-$120,000 USD
.
For Recruitment Agencies
At fairlife, we manage the majority of our hiring internally through our dedicated Talent Acquisition team, which is actively engaged in direct candidate sourcing. Most of our roles are filled through applications submitted via our careers site or through direct outreach by our team.
As our recruitment is primarily handled in-house, we work only occasionally with external agencies, and only those on our existing, pre-approved vendor list. At this time, we are not reviewing or expanding that list.
Unsolicited resumes or submissions from external agencies not authorized by our Talent Acquisition team will be considered direct candidate applications. As such, fairlife will not assume responsibility for any placement fees associated with these submissions.
fairlife, LLC is an equal opportunity employer. We do not discriminate on the basis of 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. All qualified applicants and employees will be given equal opportunity. Selection decisions are based on job-related factors.
In addition to its nondiscrimination commitment, the Company will also provide reasonable accommodation of qualified individuals with known disabilities unless doing so would impose an undue hardship on the Company. If you have a disability and would like to request accommodation in order to apply for a position with us, please email [email protected].
