MetroStar is looking to hire a Sr. Data Engineer II to help design and ingest data from different Object Management Systems that support mission operations for their classified customer.
Requirements
- Experience in Data/ML engineering
- Strong Experience with ETL, data labeling, and data preparation
- Experience with one or more of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka
- Strong experience designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+.
- Strong experience designing, implementing, and maintaining data architecture and services to be used for AI/ML.
- Operationalizing and maintaining AI/ML models in production.
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.
- 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.
- Strong experience designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+.
- Strong experience designing, implementing, and maintaining data architecture and services to be used for AI/ML.
- Operationalizing and maintaining AI/ML models in production.
Other
- Minimum 7 years experience
- Active TS/SCI with the ability to obtain and maintain a CI polygraph clearance required
- Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders
- Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration.
- All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
