Lead Data Engineer

🕒 October 23

🇺🇸 United States – Remote

💵 $170k - $190k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Redhorse Corporation

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

Redhorse Corporation is a technology-driven company specializing in providing innovative solutions to complex problems faced by government and defense organizations. With expertise in AI-driven innovation, cyber analytics, and data science, Redhorse focuses on transforming how governmental bodies interact with data and technology. The company prioritizes customer-centric, mission-focused partnerships to deliver impactful results and tackle challenges head-on. It serves markets including federal civilian, defense, intelligence, and homeland security, offering services that enable digital transformation, mission enablement, and infrastructure development.

📋 Description

• Provide day-to-day task prioritization and technical direction to team members • Lead code reviews, ensure design best practices, and mentor engineers in modular Python development and SQL optimization • Elicit, refine, and translate complex mission requirements into technical specifications, interface designs, and scalable data models • Architect, develop, and optimize high-throughput ETL/ELT workflows using Databricks • Maintain, refactor, and enhance Python and SQL codebases for performance, stability, and security • Identify pipeline bottlenecks, debug complex data workflows, and implement automated solutions to improve pipeline reliability and data integrity • Partner with government product owners, data scientists, data analysts, and technical peers • Document architecture, coordinate technical sprints, and communicate engineering trade-offs to technical and non-technical audiences • Develop and maintain pipeline architecture documentation and configurations

🎯 Requirements

• Must be a U.S. Citizen • Must hold a current, active U.S. Government Secret clearance; applicants without an active Secret clearance cannot be considered • Minimum of 8+ years of professional experience in data engineering, building enterprise-scale data platforms and pipelines • Demonstrated experience providing technical mentorship, performing code reviews, and providing day-to-day technical task oversight to other engineers • Proven, hands-on experience designing and optimizing data transformation workflows in Databricks • Advanced skills in modular, object-oriented Python/PySpark scripting • Extensive experience writing, tuning, and optimizing complex SQL queries • Proven experience building functional, user-centric reports and dashboards using modern data visualization tools

🏖️ Benefits

• Comprehensive benefits programs • Performance-based or other incentive compensation, where applicable • Reasonable accommodations for qualified individuals with disabilities or disabled veterans

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