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Senior Data Engineer
- San Francisco, California, United States
- San Francisco, California, United States
À propos
Be a part of the AI revolution with sustainable technology at Crusoe. Here, you’ll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.
About This Role: 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.
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.
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:
Industry competitive pay
Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement
Subscription to the Calm app
MetLife Legal
Company paid commuter benefit; $300 per month
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.
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Compétences linguistiques
- English
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