Senior Software Engineer (Data Platform)

• Join Crusoe Energy as a Senior Data Engineer, an early and pivotal hire on our growing central Data Science and Engineering team
• This full-time position offers you the unique opportunity to architect and build the foundational data platform infrastructure that powers Crusoe’s AI and cloud operations
• You’ll go beyond building pipelines—you’ll design and implement the systems that make those pipelines possible, playing a key role in Crusoe’s mission to meet the ever-increasing demand for AI infrastructure and innovate sustainably
• Architect Data Platform Infrastructure: Design and build scalable, reliable data infrastructure systems that serve as the foundation for analytics, machine learning, and operational intelligence across Crusoe
• Build High-Performance Data Systems: Develop robust data processing frameworks and storage solutions optimized for the unique demands of AI infrastructure and cloud operations
• Champion Data Quality & Reliability: Implement data validation, monitoring, and observability systems that ensure data integrity and platform reliability at scale
• Collaborate Across Engineering Teams: Partner with software engineers, data scientists, and operations teams to understand requirements and deliver infrastructure that accelerates their work
• Drive Technical Excellence: Establish best practices for data engineering, contribute to architectural decisions, and mentor team members as the team grows

Benefits

• Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
• Time away: Paid time off for vacations, family bonding, and unexpected needs
• 401(k) match: Build your financial future with our 401(k) matching program
• Mental wellness: Resources and support for your emotional wellbeing and navigating life’s challenges

• Strong Software Engineering Foundation: Demonstrate proficiency in Python and at least one systems-level language (Go preferred; Java, C, or C++ also valued), with the ability to write production-quality, maintainable code
• SQL Mastery: Exhibit advanced SQL skills for data modeling, query optimization, and database design
• Distributed Systems Knowledge: Show understanding of distributed computing principles, with experience building systems that scale reliably
• Ownership & Autonomy: As an early hire on the data engineering team, you’ll be expected to drive projects from conception to production with minimal supervision
• Collaboration Skills: Communicate effectively with technical and non-technical stakeholders to translate requirements into robust solutions
• Minimum Educational Requirement: Bachelor’s degree (or foreign equivalent) in Computer Science, Data Engineering, Information Systems, or a closely related technical field
• Minimum Experience: 5+ years of progressive, post-baccalaureate experience in software engineering, data infrastructure engineering, or a related role
• Data Infrastructure Expertise: Possess deep experience designing and building data platforms, including data warehouses, data lakes, streaming systems, and ETL/ELT frameworks
• Infrastructure-as-Code Mindset: Demonstrate familiarity with modern DevOps practices including CI/CD, containerization, and infrastructure automation
• Experience with Google Cloud Platform (GCP) data services (BigQuery, Dataflow, Pub/Sub, Cloud Storage)
• Experience with Apache Beam
• Experience with real-time data processing and streaming architectures
• Familiarity with data orchestration tools (e.g., Airflow, Dagster, Prefect)
• Experience on a growing or early-stage data team, contributing to foundational development
• Background in building infrastructure for AI/ML workloads or cloud computing platforms