Top Tech Jobs & Startup Jobs

Develop data engineering algorithms and systems that transform structured and unstructured data into actionable insights. Analyze data using statistical and general-purpose programming languages, apply scientific methods, and help clients understand and use complex data. Collaborate in fast-paced environments while supporting data gathering, cleansing, parsing, and analysis across Windows and Linux environments.

Evaluates and improves statistical models, machine learning algorithms, and analytic workflows supporting classified Space and Counterspace intelligence missions. Analyzes complex datasets, validates model performance, assesses data quality, recommends enhancements, integrates new analytic approaches, and prepares technical assessments for government stakeholders. The role collaborates with engineers, developers, and data science teams in a classified environment while ensuring security and data governance compliance.

Develops and implements data engineering and statistical analysis solutions for government customers. Responsibilities include automating data extraction and processing, building data models, analyzing large and diverse datasets, developing statistical methods, creating databases, reports, and visualizations, and communicating technical findings. The role requires independent problem-solving, data science and engineering experience, and support for intelligence-related data capabilities.

Designs, hardens, and operates DevSecOps platforms, CI/CD pipelines, cloud infrastructure, and container environments. Integrates security controls and automated scanning into delivery workflows, supports database engineering and migration, and develops reusable infrastructure patterns. The role requires AWS, Azure, or GCP, infrastructure as code, Kubernetes, Linux, scripting, networking, compliance frameworks, and an active TS/SCI clearance with polygraph willingness.

Develop, integrate, test, and maintain full-stack software from requirements through production. Responsibilities include building backend services, RESTful APIs, data integrations, and user-facing web applications; participating in design discussions and code reviews; troubleshooting issues; and improving software quality and delivery practices. The role requires collaboration with engineers, architects, product owners, and mission stakeholders in an Agile environment.

Lead systems administrator and Information Systems Security Officer (ISSO) for classified intelligence networks. Provide full lifecycle risk management, enforce security policies, drive vulnerability remediation, support assessment and authorization (RMF), integrate MI systems across classified domains, and deliver rapid cyberspace threat analysis and technical responses to keep systems authorized and mission-ready.

Administers and supports Azure customer enclaves for intelligence community environments. Responsibilities include architecture, technical leadership, system health monitoring, troubleshooting, incident escalation, patching, vulnerability remediation, configuration management, Azure solution deployment, Active Directory and Windows support, AVD administration, and operational maintenance. The role requires collaboration with Microsoft, customers, system owners, and migration teams while supporting C4 operational environments.

Develop and support foundational services, including programmatic classification rollups, need-to-know handling, and high-to-low cross-domain transfer processes. Review server logs and consoles to triage and debug issues onsite across EPD applications. Collaborate with mid-level developers and provide team training and support using a modern TypeScript, Node.js, Angular, database, containerization, and CI/CD technology stack.

Senior Data Engineer responsible for designing and deploying scalable data pipelines, ensuring critical data availability, movement, transformation, and storage. The role requires Python, Databricks, ETL, relational database, and Agile Scrum experience, supporting AI and machine learning applications for national security missions. The position is primarily onsite three to five days per week and requires an active Secret clearance and U.S. citizenship.

Build and maintain scalable data pipelines, ensuring critical data is moved, transformed, stored, and available for high-priority national security users. Collaborate with software engineers and data scientists on AI and machine learning applications. Required skills include Python, Databricks, ETL development, relational databases, and Agile Scrum. The role is hybrid but requires onsite work three to five days per week and an active Secret clearance.