Jobs at Redhorse

Design, develop, test, document, and maintain custom ServiceNow applications supporting government human capital and enterprise IT operations. Collaborate in Agile teams using Jira, implement security and accessibility standards, conduct testing, manage version control and technical documentation, develop reporting capabilities, and support Tier 1–3 service management workflows. The role requires extensive ServiceNow engineering experience and an active Top Secret/SCI clearance with polygraph or sponsor eligibility.

Develop and administer Microsoft Power Platform and SharePoint Online solutions for complex government workflows. Build Power Apps, automate processes with Power Automate, create Power BI dashboards, integrate Microsoft 365 and Azure services, gather requirements, and provide Tier 2/3 technical support. The role requires an active Secret clearance and experience with Dataverse, connectors, SharePoint permissions, workflow monitoring, and error handling.

Provides executive-level data analysis and strategic advisory support to FBI National Security Branch leadership. Responsibilities include querying enterprise databases, evaluating program performance, developing Excel and Power BI analyses, authoring policy and briefing materials, tracking executive taskers, and briefing senior leaders on operational readiness, resource allocation, fiscal alignment, and mission execution. Requires extensive federal government experience, executive staff support, policy writing, budget analysis, and an active Top Secret clearance with SCI eligibility.

Leads business analysis, requirements engineering, and technical program support for FBI national security systems. Translates operational needs into Agile epics, features, and user stories; evaluates enterprise architecture, risks, vulnerabilities, and modernization opportunities; develops technical and executive documentation; coordinates IT initiatives; supports process re-engineering; and briefs FBI and DOJ leadership. The role requires extensive national security, federal law enforcement, enterprise IT governance, systems development, and executive communication experience, plus an active Top Secret clearance with SCI eligibility.

Designs and deploys machine learning models, statistical analyses, data workflows, and custom algorithms for law enforcement, intelligence, investigative, and business datasets. Collects, cleans, processes, and analyzes large datasets; validates data quality and model performance; deploys predictive models; and presents actionable recommendations through visualizations to government stakeholders and executive leadership.

Executive-level Data Scientist serving as principal technical authority for machine learning, statistical analysis, data engineering, and predictive modeling across law enforcement, intelligence, and investigative datasets. Designs algorithms, data pipelines, quality frameworks, enterprise search solutions, and visualizations; collaborates with senior government stakeholders and multidisciplinary teams; and delivers actionable recommendations and briefings to executive leadership. Requires extensive experience with large-scale structured and unstructured data and an active Top Secret/SCI clearance with CI Polygraph.

Senior Project Manager/Scrum Master responsible for managing schedules, milestones, deliverables, risks, dependencies, and budgets while facilitating Scrum ceremonies and Agile delivery. Partners with customer stakeholders and cross-functional teams to prioritize work, remove impediments, monitor capacity, communicate progress, and resolve issues. Maintains project documentation, coordinates change control and acceptance, prepares customer briefings, and coaches teams on Agile practices and continuous improvement. No hands-on Oracle development is required.

The Database Cloud Developer will design and maintain data pipelines and infrastructure, ensuring data quality and collaborating with various teams for data-driven insights.

Own the data layer for an AWS-hosted application supporting sensitive data requests on classified systems. Responsibilities include relational and NoSQL data modeling, database security, auditability, migration from legacy systems, SQL optimization, backup and recovery, schema change control, monitoring, compliance, and documentation. The role also supports AI-assisted validation, reporting, and collaboration with application, cloud, and systems engineering teams.

Develop and maintain secure, highly available cloud microservices across AWS and Azure environments. Build full-stack web interfaces and dashboards, integrate AI/ML and LLM capabilities, support distributed data pipelines and event-driven systems, and contribute to DevSecOps automation, infrastructure as code, CI/CD, and automated testing. Collaborate with architects, data scientists, technical teams, and federal stakeholders to deliver mission-critical software for cyber analytics and national security applications.

Designs and leads scalable cloud architectures, microservices, backend services, APIs, responsive data visualization interfaces, and AI/ML-enabled processing platforms across AWS and Azure environments. Builds distributed data pipelines, integrates LLMs and vector databases, implements DevSecOps automation and infrastructure as code, supports secure cyber analytics tooling, and mentors engineering teams while collaborating with federal stakeholders.

Support aircraft sustainment and logistics initiatives through data collection, ETL pipeline development, exploratory and statistical analysis, predictive modeling, knowledge graph capabilities, and production model integration. Monitor data quality and model performance while collaborating with engineering teams and government stakeholders in an Agile environment. The role requires NLP, Databricks, PySpark, SQL, predictive modeling, data governance, visualization, and an active Secret clearance.

Leads hybrid-cloud infrastructure engineering across Windows, Linux, VMware, AWS, and enterprise services. Provides Tier 2–4 support, troubleshooting, virtualization administration, security hardening, data center operations, performance monitoring, and incident management. Maintains Active Directory, DNS, DFS, DHCP, and DISA STIG compliance while coordinating technical risks, changes, schedules, and cross-functional engineering initiatives in a 24/7 mission environment.

Develops and optimizes scalable ETL/ELT data pipelines and analytics solutions for DoD mission requirements. Processes diverse large-scale datasets, maintains pipeline operations, monitors system health, optimizes databases and costs, prototypes data capabilities, and collaborates with technical teams. Implements DoD STIGs and secure data retrieval methods across enterprise and potentially classified environments.

Build and operate a modern web platform replacing a legacy federal financial system. Develop TypeScript and Node.js domain services, REST APIs, financial calculation engines, workflows, integrations, audit controls, and database logic. Conduct business-rule archaeology across Java and PL/SQL, implement tested parity, and contribute across UI, infrastructure, CI/CD, security, and cloud operations. Use agentic AI development tools, review production code rigorously, mentor teammates, and deliver complete vertical slices. Travel is required no more than once per quarter.

Develop and integrate mission-critical software within the TAK ecosystem, including ATAK, WinTAK, MILTAK, and TAK Server. Build CoT data pipelines, low-latency APIs, sensor and intelligence data ingestion systems, CI/CD pipelines, containerized deployments, and edge-deployed applications. Troubleshoot tactical networks and integration issues while translating defense mission requirements into scalable solutions. The role requires significant TAK ecosystem experience, multiple programming languages, security clearance, and up to 25% travel.

Provide high-level administrative and operational support to senior Department of Energy executives. Responsibilities include complex calendar and meeting coordination, executive correspondence, note-taking, briefing preparation, domestic and international travel logistics, timekeeping, budget tracking, project and event support, process documentation, records management, and independent resolution of non-routine challenges. The role requires discretion, strong communication, advanced Microsoft Office skills, and extensive executive administrative experience.

Develop and maintain full-stack applications for ISR data aggregation, linking, analysis, and visualization. Responsibilities include Python application development, ETL pipelines, database operations, front-end and back-end design, data scraping, API integration, asynchronous queuing, DevSecOps support, networking troubleshooting, and deployment. The developer collaborates with government stakeholders, military personnel, data providers, and agile delivery teams to rapidly deliver solutions for structured and unstructured data.

Supports the Department of Energy’s Office of Critical Minerals and Energy Innovation through legislative analysis, policy monitoring, congressional engagement preparation, budget briefing development, and coordination of fast-turnaround legislative affairs projects. Prepares testimony, briefing packages, presentations, memos, and hearing materials for senior leadership while tracking federal and state legislative developments affecting energy innovation and critical mineral supply chains.

Designs, builds, and maintains an ontology-grounded enterprise semantic map and metadata graph. Develops automated metadata ingestion, ETL pipelines, API integrations, graph database schemas, lineage and provenance models, and graph queries. Aligns data assets with enterprise ontologies, governance requirements, and mission metadata. Enables semantic search and AI agents, optimizes graph performance, documents architecture, and mentors engineers. Requires production data engineering, graph database, systems integration, and graph query experience, plus an active TS/SCI clearance.