Data Engineer, Data & Decision Intelligence

fairlife, LLC is a Chicago-based nutrition company that creates great-tasting, nutrition-rich and dairy products to nourish consumers.

With nearly $2B 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 Data Engineer will play a key role in delivering fairlife's ambition of building a best-in-class Data and Decision Intelligence (DDI) ecosystem. This role will support the digital transformation of our manufacturing operation, translating technical requirements from our factories into targeted solutions that fit into fairlife's broader data framework, roadmap and architecture. This role will be responsible for supporting the extract, transform, and load processes of our IIoT and enterprise data. The ideal candidate would not only have a passion for data and software development but also a deep appreciation for manufacturing and engineering principles.

Responsibilities:

• Integration of factory data into on-premise and cloud-based Azure IoT tools to support the reliable, consistent consumption of real time data
• Design, implement, and operationalize data pipelines to support the data lifecycle for our factory IIoT data
• Design, develop, and deliver the platforms and tools needed for optimal extraction, transformation, and loading of factory IIoT data
• Support the development and delivery of a Unified Data Model for our factories and the fairlife enterprise
• Partner with manufacturing stakeholders to ensure data validity and platform buy-in
• Support delivery of a master data solution for IIoT and enterprise data
• Design and deliver solutions to support real-time factory data streaming, condition monitoring, and predictive maintenance
• Working closely with 3rd party data architects and internal data team to develop deep understanding of our data ecosystem
• Provide training and support the technical development of fellow team members

Skills/Qualifications:

Required:

• Bachelor's degree in data/computer science, an engineering discipline, or related
• Proficiency in SQL
• Proficiency in at least one object-oriented language (Python, Java, C#, etc.)
• Experience with Git or other source control
• Detail oriented self-starter, with a growth mindset and a passion for data
• Ability to handle ambiguity and work in a fast paced, entrepreneurial environment

Preferred:

• Internship or work experience in manufacturing
• Experience with Python data structures and data science libraries (pandas, numpy, sklearn, etc.)
• Experience with telemetry or time-series data sources
• Experience with any cloud framework (Azure, AWS, GCP, etc.)
• Familiar with pipeline automation and unit testing
• Familiar with data streaming/integration tools (message brokers, WebSockets, REST APIs, etc.)

Position Location:

Chicago, IL

Reports To:

Sr Data Engineer, Data & Decision Intelligence

Travel Requirements:

20-30%

Exempt/Nonexempt:

Exempt

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 .