Big Data/Machine Learning Engineer

Big Data/Machine Learning EngineerLocation: Richmond & McLean, VirginiaExperience: 3-7Team: EngineeringPractice: DataLeveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Nexus, Git and DockerAbility to handle multiple responsibilities in an unstructured environment where you're empowered to make a difference. In that context, you will be expected to research and develop cutting edge technologies to accomplish your goals.Experience working in an agile environmentBasic Qualifications:Bachelor's Degree or military experienceAt least 1 year of experience developing, deploying, testing in AWS public cloudAt least 1 years' experience in system analysisAt least 3 years of professional work experience delivering big data solutions using open-sourceAt least 5 years of professional work experience in large scale data projectsAt least 4 years of professional work experience in data management & data engineeringPreferred Qualifications:3+ years experience in at least one scripting language (Python, Scala & Spark)7+ years experience developing software solutions to solve business problems1+ year of experience in AWS Cloud computing2+ years of experience in an Agile delivery environment