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SeniorFull-timePythonRustKubernetesDockerMachine LearningData ScienceCI/CDAIML
Salary Range
$103,428 - $139,932 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Senior Data Engineer to join Nebius, a leader in cloud computing for the global AI economy. This hands-on role focuses on designing, implementing, and maintaining reliable data flows for analytics and machine learning.
Key Responsibilities
- →Design, build, and own production-grade data pipelines using Python and SQL
- →Develop stateless, idempotent pipelines that are resilient to retries, failures, and infrastructure interruptions
- →Implement data transformations, validation, and data quality checks
- →Optimize pipelines for performance, reliability, and cost efficiency
- →Collaborate closely with Analytics, Data Science, and ML teams to deliver trusted datasets
- →Orchestrate pipelines using a workflow orchestration framework
- →Package and run data workloads using Docker and deploy them on Kubernetes
- →Use autoscaling and Spot / Preemptible compute for efficient pipeline execution
- →Build CI/CD automation for data pipelines
- →Use Infrastructure as Code to provision and manage the infrastructure required to run pipelines
Requirements
- ✓8+ years of experience as a Data Engineer, primarily focused on building data pipelines
- ✓6+ years of hands-on experience with Python and SQL
- ✓3+ years of experience running workloads on Kubernetes
- ✓Strong understanding of stateless system design and idempotent data processing
- ✓Experience building and operating data pipelines in cloud environments
- ✓Experience with workflow orchestration frameworks
- ✓Strong Linux fundamentals and production debugging skills
Benefits
- ★Competitive salary and comprehensive benefits package
- ★Opportunities for professional growth within Nebius
- ★Flexible working arrangements
- ★A dynamic and collaborative work environment that values initiative and innovation
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