Design, build, and optimize distributed query solutions using Starburst Enterprise Platform (SEP) and Trino
Enable secure and governed access to data across multiple sources including cloud platforms, data lakes, and enterprise data warehouses
Implement and enhance data federation, performance tuning, and query optimization strategies
Support identity and access management (IAM) and data governance requirements in a federal environment
Develop and maintain backend services, APIs, and platform components supporting the data ecosystem
Contribute to CI/CD pipelines, observability, and platform reliability initiatives
Collaborate with product, UX, security, and infrastructure teams to deliver scalable and secure data solutions
Troubleshoot performance issues in distributed and cloud-native environments

Bachelor’s degree in Computer Science, Information Technology, or related field (Master’s preferred)
Ability to obtain and maintain a Public Trust clearance.
Hands-on experience with Starburst Enterprise Platform (SEP) or strong experience with Trino/Presto in enterprise environments
8+ years of experience working with modern data platforms such as Snowflake, Databricks, Denodo, or similar distributed query/data virtualization technologies
Strong SQL skills and experience with distributed query performance optimization
Experience integrating data across cloud and on-premises environments
Knowledge of authentication, authorization frameworks, and data security best practices
Experience with CI/CD tools, containerization (Docker/Kubernetes), and infrastructure automation
Familiarity with cloud platforms (Azure experience strongly preferred)
Strong communication and collaboration skills in cross-functional technical teams

Data Engineer

Key skills