Lead Data Engineer
Summary
Lead/Senior Data Engineer at Redhorse supporting U.S. national defense missions: leading a small team (task prioritization, code reviews, mentoring), translating government requirements into scalable pipelines, and building/optimizing ETL/ELT workflows primarily with Databricks, Python/PySpark, and SQL. Requires an active U.S. Secret clearance.
Redhorse transforms the way government uses data and technology. To support this mission, we are seeking a Senior Data Engineer / Lead to join our team supporting the US National Defense Strategy. In this role, you will play a vital role in translating complex defense requirements into scalable data pipelines and actionable insights, directly contributing to the modernization of critical defense systems.
Key Responsibilities
- Technical Leadership & Task Oversight: 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.
- Requirements Development & Architecture: Work directly with government stakeholders to elicit, refine, and translate complex mission requirements into robust technical specifications, interface designs, and scalable data models.
- Pipeline & Platform Development: Architect, develop, and optimize high-throughput ETL/ELT workflows using Databricks; maintain, refactor, and enhance existing Python and SQL codebases for performance, stability, and security.
- Pipeline Diagnostics & Troubleshooting: Identify pipeline bottlenecks, debug complex data workflows, and implement automated solutions to enhance pipeline reliability and data integrity.
- Cross-Functional Collaboration: Partner closely with government product owners, data scientists, Data Analysts, and technical peers to document architecture, coordinate technical sprints, and communicate engineering trade-offs to technical and non-technical audiences.
- Technical Documentation: Develop new and maintain existing pipeline architecture documentation relating to pipeline code architecture and configurations to ensure high system reliability and seamless team onboarding.
Required Experience/Clearance
- Security Clearance: Must be a U.S. Citizen with a current, active U.S. Government Secret clearance. (Applicants without an active Secret clearance cannot be considered).
- Experience Level: Minimum of 8+ years of professional experience in data engineering, building enterprise-scale data platforms and pipelines.
- Technical Guidance: Demonstrated experience providing technical mentorship, performing code reviews, and providing day-to-day technical task oversight to other engineers.
- Databricks: Proven, hands-on experience designing and optimizing data transformation workflows in Databricks.
- Python/PySpark & SQL: Advanced skills in modular, object-oriented Python/PySpark scripting and extensive experience writing, tuning, and optimizing complex SQL queries.
- Data Visualization: Proven experience building functional, user-centric reports and dashboards using modern data visualization tools.
Desired Experience
- Hands-on experience with Apache Spark and distributed computing frameworks.
- Familiarity with modern agile and DevOps tools such as GitLab Jira.
- Experience working with DoD, defense, or intelligence community data environments and compliance standards.
- Knowledge of data governance, metadata management, and data cataloging frameworks.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline.
Skills
As published by lever · 12 questions
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Other website
Short answers (7)
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- Are you legally authorized to work in the United States without benefit of sponsorship? optional
- Per the contract this role supports - U.S. Citizenship is required. Are you a U.S. Citizen?
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- Do you currently possess an active Secret Clearance?