Senior Databricks Data Engineer - 1659

aKube • Draper, UT

13h • $130,000 - $150,000 • Hybrid

About The Position

This is a full-time Senior Databricks Data Engineer position. The role involves designing and building scalable data pipelines, developing data ingestion and processing workflows, and creating data products and intelligent APIs. The engineer will ensure data quality, reliability, and performance, collaborate with cross-functional teams, and support cloud-based data architecture for BI and AI/ML use cases. Participation in code reviews and CI/CD practices is also expected.

Requirements

• Bachelor’s degree in a related technical field required.
• 10+ years of data engineering experience.
• Strong experience with Databricks, Spark, and cloud platforms.
• Proficiency in Python and SQL.
• Hands-on experience with Azure data services.
• Experience with REST APIs and DevOps practices.
• Agile development experience.

Nice To Haves

• Databricks
• AI
• Python
• Azure
• API development
• ETL pipelines
• DevOps and CI/CD

Responsibilities

• Design and build scalable batch and real-time data pipelines.
• Develop data ingestion, processing, and analytical workflows.
• Build data products and intelligent APIs.
• Ensure data quality, reliability, and performance.
• Collaborate with cross-functional teams to translate business needs into data solutions.
• Support cloud-based data architecture for BI and AI/ML use cases.
• Participate in code reviews and CI/CD practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior