Data Engineer: Scale Data Pipelines & Analytics

Nebius; Germany (OH); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning opportunities

Collaborative and innovative culture

Job summary

Nebius is seeking a Data Engineer to enhance its cloud platform in Ohio, USA. The role involves designing and maintaining data pipelines, optimizing workflows, and enabling data-driven decision-making. Candidates should have 3+ years of experience in data engineering, proficiency in SQL, and strong Python skills.

The position offers competitive compensation, career growth opportunities, and a collaborative culture. Join us to make a meaningful impact in the AI economy!

Qualifications

• 3+ years of experience in data engineering or related roles.
• Experience with orchestration tools like Airflow or Prefect.
• Strong proficiency in SQL and programming skills in Python.
• Knowledge of data modeling and architecture principles.

Responsibilities

• Design and maintain scalable data pipelines.
• Build and optimize data infrastructure for analytics.
• Implement data quality monitoring and validation frameworks.
• Participate in on-call rotation to support production data systems.

Skills

Data pipeline development

Proficiency in SQL

Python programming skills

Distributed data processing (Apache Spark)

Tools

Airflow

Docker

Kubernetes

Job description

Nebius is seeking a Data Engineer to enhance its cloud platform in Ohio, USA. The role involves designing and maintaining data pipelines, optimizing workflows, and enabling data-driven decision-making. Candidates should have 3+ years of experience in data engineering, proficiency in SQL, and strong Python skills.

The position offers competitive compensation, career growth opportunities, and a collaborative culture. Join us to make a meaningful impact in the AI economy!