Senior Databricks Data Engineer - 1659

aKUBE; Draper (UT); Presencial; USD 140.000 - 150.000; Jornada completa

Descripción de la vacante

aKUBE is seeking a senior data engineer to design and build scalable batch and real-time data pipelines. You will develop data ingestion, processing, and analytical workflows, and build data products and intelligent APIs.

The role requires a strong background in Databricks, Spark, Python, SQL, and Azure data services, with DevOps practices and REST API experience. You will collaborate across teams to deliver robust data solutions for BI and AI/ML use cases.

Formación

• Bachelor’s degree in a related technical field is 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.

Responsabilidades

• 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.

Conocimientos

Databricks

AI

Python

DevOps & CI/CD

Educación

Bachelor’s degree in a related technical field

Descripción del empleo

Onsite/ Hybrid/ Remote: Onsite 5 days a week

Rate Range: Up to $140k PA and Up to $150k - Calabasas, CA depending on experience.

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.