Data Engineer

<p>CPS (Commercial Products Supply) is a key part of the Advantaged Supply Chain of the Technical Function of The Coca-Cola Company. CPS manufactures concentrates and beverage bases for sale to bottling partners all over the world. This global organization manages a network of 19 manufacturing plants in 18 different countries along with 2 office locations (Atlanta &amp; Drogheda, Ireland). CPS also manages complex additional materials supply chains (e.g. juice, coffee, tea, milk, etc.) on behalf of bottling partners.<br><br><b>The Data Engineer</b> will be responsible for the design, development, and operational excellence of the CPS data platform. This role focuses on hands-on development, technical execution, and cross-functional collaboration to build scalable, reliable, and secure data solutions that support data-driven decision-making across global plant operations and supply networks.<br><br><b>What You'll Do for Us </b><br><br><ul><li>Serve as a technical leader and subject matter expert for data engineering solutions</li><li>Design, develop, and optimize data pipelines using Azure Data Factory (ADF) and/or Fabric</li><li>Design, build, and maintain scalable data pipelines, transformations, and data models using PySpark, SQL, and Python</li><li>Define and enforce data engineering best practices, standards, and architectural patterns</li><li>Partner with CPS stakeholders, plant teams, and analytics partners to translate business needs into technical solutions</li><li>Participate in technical design reviews and mentor other engineers, providing guidance without direct people management</li><li>Ensure data quality, reliability, monitoring, and performance of production data pipelines</li><li>Support roadmap planning, estimation, and prioritization for data engineering initiatives</li></ul><br><b>What You'll Need<br>Functional Skills</b>:<br><br><ul><li>Strong proficiency in Python, SQL, and distributed data processing.</li><li>Hands-on experience with Databricks, Snowflake, or any coding platform.</li><li>Strong understanding of data warehousing concepts and analytical database design patterns</li><li>Familiarity of job orchestration using tools such as Azure Data Factory (ADF), AWS Glue, etc.</li><li>Solid understanding of data architecture, ETL/ELT design, and data modeling</li><li>Experience with cloud-native data platforms, CI/CD, and DevOps practices</li><li>Familiarity with web-based dashboards or lightweight web development is a plus</li><li>Excellent critical thinking, analytical and problem-solving skills</li></ul><br><b>Related Work Experience</b>:<br><br><ul><li>3+ years of experience in data engineering, analytics engineering, or software engineering</li><li>Experience supporting data platforms for manufacturing, supply chain, or operations environments preferred</li><li>Proven experience working with cloud-based data platforms, ideally Microsoft Azure</li></ul><br><b>Education Requirements</b>:<br><br><ul><li>Bachelor's degree in computer science, Engineering, or a related technical field required</li><li>Master's degree preferred</li></ul><br><b>What We Can Do for You </b><br><br><ul><li>Innovation &amp; Technology: The ability to work with an award-winning team that is on the cutting edge of innovation.</li><li>Exposure to World Class Leaders: Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques.</li><li>Agile Work Environment: We embrace agile, with management that believes in removing barriers, so you are empowered to experiment, iterate, and innovate.</li></ul><br>The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.<br><br>Analytics, Azure Data Factory, Business Intelligence (BI), Data Architecture, Data Driven, Data Modeling, Microsoft Azure, organization, PySpark, Python (Programming Language), SQL Databases, Structured Query Language (SQL)<br><br><b>Pay Range:</b><br>$124,600 - $148,200<br><br>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.<br><br><b>Annual Incentive Reference Value Percentage:</b><br>15<br><br>Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.<br><br><b>Location(s):</b><br>United States of America<br><br><b>City/Cities:</b><br>Atlanta<br><br><b>Travel Required:</b><br>00% - 25%<br><br><b>Relocation Provided:</b><br>No<br><br><b>Job Posting End Date:</b><br>April 7, 2026<br><br><b>Our Purpose and Growth Culture:</b><br><br>We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.<br><br>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.<br><br>Annual Incentive Reference Value Percentage:15<br>Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.</p>