Data Engineer
| Company | MetroStar |
|---|---|
| Location | Washington, DC, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- 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.
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.
- 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.
Preferred Qualifications
-
No preferred qualifications provided.