Senior Databricks Data Engineer - 1628

aKube; Calabasas (CA); On-site; USD 130,000 - 150,000; Full time

Job summary

aKube is looking for an experienced Data Engineer in Calabasas to design and build scalable data pipelines. The role requires strong knowledge of Databricks, Python, and DevOps practices.

With a focus on developing data ingestion and analytical workflows, the ideal candidate will have over 10 years of data engineering experience and a bachelor’s degree in a related technical field. This is a full-time on-site position, with an expected salary range of $130k to $150k depending on experience.

Qualifications

• 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.

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.

Skills

Databricks

AI

Python

DevOps and CI/CD

Education

Bachelor’s degree in a related technical field

Tools

Databricks

Spark

Azure data services

Job description

Calabasas, United States | Posted on 06/29/2026

City: Las Vegas, NV / Calabasas, CA

Onsite/ Hybrid/ Remote: Onsite 4 days a week

Duration: Fulltime

Rate Range: Up to $130k to $150k PA depending on experience (no C2C or 1099 or sub-contract)

Work Authorization: GC, USC Only

Must Have:

• Databricks
• AI
• Python
• 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.

Qualifications:

• 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.