Intermediate Data Engineer

Position Summary The Data Engineer will use their inquisitiveness, tenacity, and willingness to learn to help develop the GFS Data Platform, which includes the data lake, analytics, enterprise data warehouse, and visualization tools. They must be able to follow the team’s technical direction by writing high‑quality code and applying modern design principles. The role involves building data solutions in an agile and incremental manner, actively participating in all team ceremonies, understanding complex architecture and engineering designs, and helping implement them. They must also comprehend the business problems they are solving, apply technology appropriately, and possess strong interpersonal skills to develop relationships with peers. What you will do Follow the technical strategy and direction for the Data Platform environment at GFS, including tools, techniques, and processes. Help design and build technology solutions across multiple initiatives simultaneously. Collaborate with others on the team to rapidly prototype and implement technical architectures that deliver insightful solutions. Understand the business analytics problems the company faces and help build solutions that solve them. Work on a high‑performing team focused on results and relationships. Perform other duties as assigned. When you will work Monday to Friday, 8am to 5pm. Hybrid schedule: 4 days in office in Wyoming, MI, or Atlanta, GA with 1 day remote. What you’ll bring to the table Experience writing software at a large enterprise. Experience in modern data movement technologies (e.g., serverless, real‑time, as‑needed computing, low‑latency data movement, high‑volume data management). Experience working with DevOps processes to deliver code quickly with a high degree of confidence and quality. Experience in understanding and developing complex data models. Business influence: experience empathizing with users and adjusting the technical solution to solve their problems. Experience with data visualization tools (MicroStrategy, PowerBI, Looker, Tableau). Preferred languages include but are not limited to Python, Terraform, and Java. Experience with one or many cloud computing providers (e.g., GCP, AWS, Azure) preferred. Preferred tool experience includes but is not limited to Apache Airflow, Kafka, Attunity, databases, queuing, MicroStrategy. Knowledge of data governance, expectations, and leading practices preferred. Experience evaluating alternate solutions to a technical problem while considering cost and benefit preferred. Equal Employment Opportunity Equal Employment Opportunity is a matter of policy at Gordon Food Service, Inc. and we are committed to a work environment in which all individuals are treated with respect and dignity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or status as a qualified individual with disability. If you require reasonable accommodation for any part of the application or hiring process due to a disability, please submit your request to View email address on click.appcast.io and use the words “Accommodation Request” in your subject line. #J-18808-Ljbffr