The Data Engineer provides Google Cloud Platform and Google Workspace cloud support to DLA Energy to include BigQuery, Looker, Gemini, Vertex AI, Cloud Storage, AppSheet and other cloud and non-cloud tools for Chickasaw Nation Industries, Inc.
Requirements
- Certification at the Information Assurance Technical (IAT) III level required. These include CISSP, Associate CISSP, CASP, CCNP, CISA.
- Google Cloud certification preferred.
- Experience working successfully within a mature shared services-based capability for enterprise-level customers is preferred.
Responsibilities
- Works with organizational data and project teams to standardize data analysis and management strategies.
- Work with stakeholders to translate requirements into scalable AI/ML solutions.
- Develops and implements data strategies for Enterprise level implementation.
- Analyzes and integrates the business rules and other training data utilized within the applications suite and validate the output data for accuracy and conformance to the input training data rules.
- Develops, constructs, tests, and maintains data pipelines that ingest, transform, and load data for AI and ML applications.
- Prepares and engineers features for ML pipelines and manage feature stores.
- Assist in the strategy for building and refining foundational infrastructure for training, serving, and monitoring machine learning models.
Other
- Secret Clearance may be required.
- Must be able to pass a customer background check for access to facilities, equipment and property which requires U.S. Citizenship.
- Required to obtain/retain a government background investigation commensurate with position requirements.
- Master's degree and a minimum of five (5) years of relevant work experience.
- Must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds.
