Data Engineer

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 Data Engineer will play a key role in delivering fairlife's ambition of building a best-in-class Decision Intelligence (DI) ecosystem. This role will support the digital transformation of our enterprise and manufacturing operations, translating technical requirements into targeted solutions that fit into fairlife's broader data framework, roadmap and architecture. This role will also support AI engineering initiatives that drive operational excellence and automated decision-making across the organization.

responsibilities:

• Design, implement, and operationalize pipelines to support the data lifecycle of our factory IoT and enterprise use cases

• Support the development and delivery of function-specific data models in Microsoft Fabric that enable a self-service analytics culture across the enterprise

• Support development and maintenance of resources supporting our factory IoT streaming pipeline, mainly in our Ignition and Azure environments

• Partner with manufacturing & enterprise stakeholders to ensure data validity & adoption

• Champion data engineering best practices within the Fabric analytics layer, including Spark optimization, compute trade-offs, and efficient API and file integrations

• Work closely with 3rd party data architects and internal data team to develop a deep understanding of our existing 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

• Internship or work experience on an enterprise data team

• Proficiency in SQL

• Proficiency in Kusto query language (KQL)

• Proficiency in at least one object-oriented language (Python, Java, C#, etc.)

• Experience with Git or other source control

• Experience with telemetry or time-series data sources

• Experience with any cloud framework (Azure, AWS, GCP, etc.)

• Familiar with data streaming/integration tools (message brokers, REST APIs, GraphQL, etc.)

• Detailed oriented self-starter, with a growth mindset and a passion for data

• Ability to handle ambiguity and work in a fast paced, entrepreneurial environment

position location: Chicago, IL

reports to : Director, Data Engineering

travel requirements: 10-20%

exempt/nonexempt: Exempt

#LI-Hybrid #LI-BB1

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].

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.