Solving complex data challenges and enabling data-intensive solutions for critical infrastructure using structured and unstructured data
Requirements
- Experience with Databricks design, implementation, optimization, or governance
- Experience in data modeling, ETL/ELT pipelines, and integration of structured and unstructured data
- Experience with cloud environments, including storage, compute, and networking for data solutions
- Knowledge of federal data governance frameworks, including data classification, security, and compliance
- Knowledge of data security practices, including encryption, access control, and auditing
- Databricks, AWS, or Data Engineering Certification
- Experience with data lakehouse architecture and real-time data streaming
Responsibilities
- Contribute to the establishment of the ingestion methods, data storage, and data transformation methods
- Support data architecture-related activities, including extract-transform-load (ETL) processes and data warehouse solutions design
- Drive innovative solutions through expertise in data architecture, data engineering, or enterprise data solutions
- Map the path forward for data-intensive solutions
- Implement and optimize Databricks design
- Integrate structured and unstructured data
- Design and implement data modeling, ETL/ELT pipelines
Other
- U.S. citizenship is required
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
- Bachelor’s degree
- Ability to translate business requirements into scalable technical solutions
- Must be on camera during interviews and assessments
