As a Data Engineer, you'll work with AI team members to operationalize data pipelines and ML tasks and provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities We know that you can't have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers. If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below! What you'll do: * Work with AI team members to operationalize data pipelines and ML tasks. * Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities. * Present results to a diverse audience in presentation or report form. * Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements. * Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas. What you'll need to succeed: * The ability to obtain and maintain DHS Suitability. * A bachelor's degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience * 5+ years of experience in Data/ML engineering (if school experience is used, at most that would contribute to 2 years of actual experience). * Experience with ETL, Data Labeling and Data Prep. * Experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production. * The ability to perform data analytics on program related or system related activities. This will include assessing performance and manual processes implementing methods/algorithms to automate/optimize