Jobs at Redhorse

Lead AI/ML initiatives for Air Force condition-based maintenance, from predictive model development through production deployment. Architect data pipelines, develop machine learning, deep learning, NLP, and generative AI solutions, and build knowledge graph capabilities. Provide technical leadership, integrate models into applications and workflows, and monitor data quality, model performance, drift, and bias. Collaborate with engineering, cloud, software, and product teams while supporting defense aviation logistics and sustainment missions.

Lead the architecture and delivery of AI/ML initiatives supporting U.S. Air Force and Army predictive logistics and condition-based maintenance programs. Coordinate engineering teams, translate mission needs into technical solutions, guide tradeoff decisions, mentor technical leaders, and ensure AI/ML systems improve fleet maintenance, aircraft availability, and military readiness. The role requires Databricks expertise, technical leadership, stakeholder communication, and an active Secret clearance.

Process full-cycle bi-weekly multi-state payroll, timesheets, labor distributions, off-cycle payments, garnishments, deductions, leave, benefits, and employee records. Reconcile payroll accounts and benefit disbursements, support Service Contract Act fringe reporting, ensure compliance with GAAP, FAR, and tax regulations, and respond to payroll inquiries. The role also supports audits, reporting, and finance process improvements.

Lead enterprise data engineering efforts supporting defense missions. Responsibilities include prioritizing technical tasks, mentoring engineers, conducting code reviews, translating government requirements into scalable data architectures, developing Databricks ETL/ELT pipelines with Python, PySpark, and SQL, troubleshooting pipeline performance and reliability, and documenting systems. The role collaborates with government stakeholders, product owners, data scientists, analysts, and technical teams to deliver secure, high-throughput data platforms and actionable insights.

Lead SETA programmatic and technical advisory support for a government AI datacenter program. Oversee contractor deliverables, performance auditing, integrated master scheduling, infrastructure retrofits, SCIF accreditation compliance, risks, stakeholder coordination, and executive reporting. Advise federal program leadership on facility conversion, high-density compute infrastructure, commissioning, supply-chain dependencies, and technical acceptance while maintaining non-inherently governmental function boundaries.

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.

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.