Hybrid Data Engineer II Data Infra & ML Tools
Early Warning Services
Early Warning is seeking a technical expert to build data science tools and infrastructure, located in Chicago with a hybrid work model. The role collaborates with analytics leadership and engineers to advance the Data Science platform, ETL processes, and secure data handling. Ideal candidates will have a Bachelor’s degree and 2–4 years in Spark, Python data engineering, ML toolkits, and scalable data ingestion in Hadoop/AWS. Strong communication and enterprise experience are required. #J-18808-Ljbffr Early Warning Services
Vacancy posted 2 days ago
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