Top Tech Jobs & Startup Jobs

The Technical Lead oversees data engineering teams, mentors engineers, and contributes hands-on to design, development, and delivery of data solutions in AWS using Databricks.

Lead the design, implementation, and optimization of secure, scalable IT infrastructure for advanced analytics and machine learning workloads, ensuring reliability and performance while mentoring engineering teams.

Analyze Military Health System healthcare and operational data for Defense Health Agency decision-making. Build and maintain Power BI or Tableau dashboards, perform data validation and quality checks, fulfill recurring and ad-hoc reporting requests, and communicate insights to technical and non-technical stakeholders. The role also documents analytical processes, supports client meetings, and contributes to reporting and visualization improvements.

Design and implement star-schema dimensional models and ETL pipelines, optimize SQL Server data operations, develop data processes and applications, deploy data solutions via CI/CD, and collaborate with clients to meet analytics and business requirements.

Lead technical strategies for AI and IT infrastructure in government projects, focusing on agile development, architecture design, and risk management.

Lead design, development, and deployment of MLOps infrastructure for defense applications, ensuring integration, compliance with responsible AI practices, and real-time decision-making capabilities.

Lead the development and implementation of AI initiatives across the Department of Defense, ensuring ethical, safe, and effective AI adoption while maintaining compliance with principles of responsible AI.

Manage federal project delivery, facilitate Agile ceremonies, interface with clients, and drive success in technology solutions.

Lead development and deployment of advanced analytics, machine learning, and generative AI solutions for a defense health program. Perform data acquisition, ETL, model development, validation, monitoring, and API integration. Collaborate with clients and stakeholders, produce technical documentation, and operationalize ML/AI solutions using modern data platforms and best practices in a fast-paced, Agile environment.

Develop, deploy, and maintain analytics, machine learning, NLP, and generative AI solutions for defense health clients. Perform data acquisition, ETL, feature engineering, model development, evaluation, and monitoring. Build visualizations and dashboards, integrate APIs and AI services, collaborate with stakeholders, and produce documentation and deliverables within Agile, Git-based teams.