Senior Data Engineer - Scalable Data Platform & Pipelines

Nebius; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Nebius is seeking a Senior Data Engineer to own substantial parts of our data platform and deliver complex data products end to end. You will turn ambiguous business needs into pragmatic technical solutions and improve the reliability and scalability of our data ecosystem.

You will work closely with product, platform, and business teams to define data contracts, drive architectural decisions, and mentor others as Nebius grows in the global AI economy.

Qualifications

• 5+ years of experience in data engineering, backend engineering, or a related role; or equivalent experience delivering and operating production data systems.
• Proven experience independently delivering complex data pipelines or data-platform cap

Responsibilities

• Own the design, delivery, and operation of complex data pipelines, datasets, and platform components.
• Translate business and analytical requirements into scalable data models, reliable data products, and clear technical plans.
• Design and evolve data architecture, storage, processing, and orchestration patterns for large-scale workloads.
• Improve data quality, observability, lineage, and incident response for critical datasets and pipelines.

Skills

Data pipelines

Data architecture

Observability

Production systems

Job description

Nebius is seeking a Senior Data Engineer to own substantial parts of our data platform and deliver complex data products end to end. You will turn ambiguous business needs into pragmatic technical solutions and improve the reliability and scalability of our data ecosystem.

You will work closely with product, platform, and business teams to define data contracts, drive architectural decisions, and mentor others as Nebius grows in the global AI economy.