Data Engineer Lead(Machine Learning)

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