Senior Data Engineer Job at Crusoe (San Francisco)

Senior Data Engineer

Crusoe

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

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

Requirements:

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

Nice to have:

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

What we offer:

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

Additional Information:

Job Posted:
January 08, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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