MetroStar is seeking a Data Engineer to operationalize data pipelines and ML tasks, providing support for deploying Python-native ML pipelines and performing data engineering tasks to enable AI/ML capabilities.
Requirements
- Experience with ETL, Data Labeling and Data Prep
- Experience with DataBricks, Python, and SQL
Responsibilities
- 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.
- Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements.
- Present results to a diverse audience in presentation or report form.
- 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.
Other
- Ability to obtain and maintain DHS Suitability
- Bachelor’s degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience
- 5+ years of on-the-job experience in Data/ML engineering; Advanced degree may be considered for at most up to 2 years towards the years of experience requirement
- Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders
- Ability to work independently/with minimal oversight
- You're a team player, passionate, and have a strong work ethic
