Data Engineer Python, Spark, SQL, AWS (Glue Batch - big files sets from 3rd party partner and use real-time API to get the data to make accessible to internal system Must sit onsite in Richmond, VA hybrid Basic Qualifications: • Bachelor’s degree • At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) • At least 3 years of experience designing and building data-intensive solutions using distributed computing • At least 2 years of on-the-job experience with an industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow • At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field • 5+ years of experience designing and building data-intensive solutions using distributed computing • 3+ years of experience developing performant, resilient, and maintainable code • 3+ years of experience with data gathering and preparation for ML models • 1+ years of experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform