WHAT YOU'LL BE WORKING ON
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.
WHAT YOU'LL BRING TO THE TEAM
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.
Data Infrastructure Expertise: Possess deep experience designing and building data platforms, including data warehouses, data lakes, streaming systems, and ETL/ELT frameworks.
Distributed Systems Knowledge: Show understanding of distributed computing principles, with experience building systems that scale reliably.
SQL Mastery: Exhibit advanced SQL skills for data modeling, query optimization, and database design.
Infrastructure-as-Code Mindset: Demonstrate familiarity with modern DevOps practices including CI/CD, containerization, and infrastructure automation.
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.
BONUS POINTS
Experience with Google Cloud Platform (GCP) data services (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
Experience with Apache Beam.
Background in building infrastructure for AI/ML workloads or cloud computing platforms.
Experience on a growing or early-stage data team, contributing to foundational development.
Familiarity with data orchestration tools (e.g., Airflow, Dagster, Prefect).
Experience with real-time data processing and streaming architectures.
BENEFITS
Competitive compensation
Restricted Stock Units
Paid time off & paid holidays
Comprehensive health, dental & vision insurance
Employer contributions to HSA account
Paid parental leave
Paid life insurance, short-term and long-term disability
Professional development & tuition reimbursement
Mental health & wellness support
Commuter benefits (parking & transit)
Cell phone stipend
401(k) Retirement plan with company match up to 4% of salary
Volunteer time off
Compensation Range
Compensation will be paid in the range of up to $215,000 - $260,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
