19 hours ago
Base Salary
$170k - $205k/yr
Responsibilities
- Architect and build scalable, reliable data platform infrastructure for analytics, machine learning, and operational intelligence.
- Develop high-performance data processing frameworks and storage solutions for AI infrastructure and cloud operations.
- Implement data validation, monitoring, and observability systems for data integrity and platform reliability.
- Collaborate with software engineers, data scientists, and operations teams to translate requirements into data infrastructure.
- Establish data engineering best practices, contribute to architecture decisions, and mentor team members.
- Drive projects independently from conception through production with minimal supervision.
Requirements
- Bachelor’s degree or foreign equivalent in Computer Science, Data Engineering, Information Systems, or a closely related technical field.
- At least 5 years of progressive, post-baccalaureate experience in software engineering, data infrastructure engineering, or a related role.
- Proficiency in Python and at least one systems-level language, with Go preferred and Java, C, or C++ also valued.
- Deep experience designing and building data warehouses, data lakes, streaming systems, and ETL/ELT frameworks.
- Understanding of distributed computing principles and experience building reliably scalable systems.
- Advanced SQL skills for data modeling, query optimization, and database design.
- Familiarity with CI/CD, containerization, and infrastructure automation.
- Experience with Google Cloud Platform data services, including BigQuery, Dataflow, Pub/Sub, and Cloud Storage, is a bonus.
- Experience with Apache Beam, AI/ML or cloud infrastructure workloads, growing data teams, orchestration tools such as Airflow, Dagster, or Prefect, and real-time streaming architectures is preferred.
- Strong ownership, autonomy, communication, and collaboration skills.
Benefits
- Competitive compensation of $170,000–$205,000 plus bonus and Restricted Stock Units.
- Paid time off and paid holidays.
- Comprehensive health, dental, and vision insurance.
- Employer HSA contributions.
- Paid parental leave.
- Paid life insurance and short- and long-term disability coverage.
- Professional development and tuition reimbursement.
- Mental health and wellness support.
- Commuter benefits for parking and transit.
- Cell phone stipend.
- 401(k) retirement plan with company match up to 4% of salary.
- Volunteer time off.
- Full-time, strictly on-site work in Sunnyvale, California, or San Francisco, California; remote work is not eligible.
Categories
Data Engineering
About Crusoe
Crusoe builds and operates GPU-powered data centers and an AI cloud platform for enterprises running large-scale AI training and inference. It vertically integrates energy supply with compute, using stranded and renewable power to reduce emissions and costs, and sells capacity via cloud services and managed infrastructure. Founded in 2018 and headquartered in Denver, the company is privately held.