Design and ingest data from different Object Management Systems that support mission operations for a classified customer.
Requirements
- 8+ years of experience in Data/ML engineering
- Expert Experience with ETL, data labeling, and data preparation
- 8+ years experience with at least 2 of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka
- Expert experience designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+
- Expert experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, 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.
- 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.
- 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
Other
- Minimum 10 years experience
- Active TS/SCI + CI Poly
- Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders
