Databricks Data Engineer (Databricks, PySpark, Cloud, MLOps) | 100% Remote | Contract 12 + Months | SSwar

Central Business Solutions

22h • Remote

About The Position

We are seeking a highly experienced Databricks Data Engineer for a 100% remote, contract position lasting 12+ months. The role involves working on data engineering, data platforms, and analytics, with a strong emphasis on Databricks, PySpark, Cloud technologies, and MLOps. The ideal candidate will have extensive consulting experience and a proven track record of delivering complex data projects.

Requirements

• 10+ years of experience in data engineering, data platforms, and analytics.
• 10+ years of consulting experience.
• Completed Data Engineering Professional certification and required classes.
• Minimum of 6-8+ projects delivered with hands-on development experience on Databricks.
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one.
• Deep experience with distributed computing with Spark, including knowledge of Spark runtime internals.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps.
• Current knowledge across the breadth of Databricks product and platform features.
• Familiarity with optimizations for performance and scalability.

Responsibilities

• Develop and implement data engineering solutions on the Databricks platform.
• Design and build scalable data pipelines using PySpark.
• Leverage cloud ecosystems (AWS, Azure, GCP) for data solutions.
• Apply MLOps principles to production deployments.
• Optimize data processing for performance and scalability.
• Utilize CI/CD practices for production deployments.
• Stay current with Databricks product and platform features.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed