Redhorse Benefits Overview

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.

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.

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.