This role involves hands-on code development to deliver data solutions by collaborating globally. Requires proficiency in SQL and Python to develop and deploy production-ready data solutions. Responsibilities include building and maintaining large-scale data warehousing solutions, influencing technical decisions, designing scalable data architectures in on-premises and cloud environments, supporting migration to cloud platforms like Databricks, and managing Kubernetes deployments with ArgoCD and Strimzi. Candidates should have a Bachelor's degree in Computer Science or equivalent, 3-6 years of relevant development experience, strong SQL and Python skills, ability to troubleshoot and optimize production systems, and excellent communication skills. Experience with Kafka, Spark, Scala, Java, Hadoop, AWS, AirFlow, Docker, and Kubernetes is preferred. Knowledge of digital advertising ecosystems, cloud development, and Databricks is a plus. The position is based in Chicago, Illinois. Salary range is $73,500 to $136,500 annually. Benefits include flexible time off, paid holidays, parental leave, health coverage, 401(k), tuition assistance, and more.
What you'll do
Build and maintain data solutions collecting and warehousing hundreds of terabytes of data per day
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