Job Summary:
MetroStar is a company focused on technology services and building exceptional teams. The Sr. Data Engineer I will support the Marine Depot Maintenance Command by designing and maintaining data architectures and pipelines for advanced analytics and digital modernization efforts.
Responsibilities:
โข Work with AI team members to operationalize data pipelines and ML tasks.
โข Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities.
โข Present results to a diverse audience in presentation or report form.
โข Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements.
โข Support leadership who engage with senior level executives and provide subject matter expertise in security architecture and other key domain areas.
Qualifications:
Required:
โข Ability to obtain or maintain a Secret Security Clearance.
โข Bachelorโs degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience
โข 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
โข Experience with ETL, Data Labeling and Data Prep
โข Experience with Azure Data Factory, AWS Data Services, DataBricks, Python, Apache Spark, and SQL
โข Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders
โข Ability to work independently/with minimal oversight
Company:
MetroStar is a leading provider of secure digital transformation and Artificial Intelligence (AI)-enabled products and solutions, specializing in delivering cutting-edge IT services to government agencies and defense organizations. Founded in 1999, the company is headquartered in Reston, USA, with a team of 501-1000 employees. The company is currently Late Stage.