Top Tech Jobs & Startup Jobs

The Big Data Analyst will evaluate datasets, improve analytical methods, support software developers, and assist end-users to enhance decision-making processes.

Leads a cross-functional engineering and science team supporting U.S. Space Force software evaluation and integration. Responsibilities include evaluating physics-based concepts, designing and testing full-stack software, implementing end-to-end solutions, reviewing and writing code, translating RF and space weather requirements, coordinating engineering disciplines, mentoring personnel, and communicating technical concepts to diverse stakeholders.

Develop and support software for satellite radiometric calibration, imaging sensor commissioning, and space operations. Responsibilities include service architecture, reliability monitoring, CI/CD integration, automated testing, operational troubleshooting, cloud-based distributed systems design, and collaboration with scientists and software teams. The role supports production and test environments, investigates data anomalies, and advances calibration operations for satellite imagery and geospatial data products.

Design, develop, test, and maintain secure full-stack web applications for mission-critical intelligence operations. Build backend services with Java and Python, responsive front ends with Angular and TypeScript, and cloud-native solutions using AWS. Troubleshoot applications and infrastructure, participate in architecture and code reviews, and collaborate with engineering, DevOps, systems, and mission teams. The role requires an active TS/SCI clearance with CI polygraph and primarily onsite work.

Build and operate secure, scalable platform infrastructure for AI-driven applications across cloud, on-premises, and edge environments. Own SRE practices, CI/CD, deployment automation, observability, performance optimization, incident response, and reliability improvements. Develop Python-based internal tools, partner with software teams on production readiness, and support customer-site installations and lifecycle operations. The role also emphasizes security, compliance, developer productivity, and distributed-system troubleshooting.

Designs and executes manual and automated testing for web, API, data-centric, and distributed applications. The role covers integration, regression, system, performance, scalability, reliability, security, and user acceptance testing. Responsibilities include defect tracking, data-flow validation, CI/CD testing, test automation, Agile collaboration, and detailed documentation while supporting mission-critical intelligence platforms.

Lead the development of statistical and machine learning models for time-series and geospatial data. Build analytic solutions, datasets, ETL workflows, forecasting and anomaly-detection models, simulations, visualizations, and reports. Evaluate algorithm performance, optimize classifiers, document processes, and collaborate with engineers, analysts, mission partners, and stakeholders to deliver reliable mission-focused software and data capabilities.

Lead and contribute to the design, integration, deployment, and sustainment of mission-focused systems. Translate stakeholder needs into technical requirements, architectures, interface definitions, deployment patterns, and operational processes. Partner with software engineers and data scientists to integrate applications, data pipelines, infrastructure, and external systems. Support testing, verification, troubleshooting, operational readiness, documentation, and reliability improvements for secure, scalable, data-intensive systems.

Develops statistical and machine learning models for kinematic behavior detection using live, historical, time-series, and geospatial data. Responsibilities include data integration, ETL, feature engineering, forecasting, anomaly detection, algorithm evaluation, simulation, visualization, reporting, documentation, and stakeholder collaboration. The role also contributes to mission-focused software applications, APIs, data workflows, code reviews, troubleshooting, and agile development in a remote-first environment.

Lead statistical and machine learning model development for time-series and geospatial data supporting the FALCON mission. Responsibilities include feature engineering, forecasting, anomaly detection, ETL, dataset creation, algorithm evaluation, simulation, data visualization, reporting, documentation, and stakeholder collaboration. The role also contributes to software applications, APIs, data pipelines, code reviews, troubleshooting, and iterative agile development.