Senior Databricks Data Engineer - 1659

Zohorecruit; Draper (UT); Hybride; USD 130 000 - 150 000; Plein temps

Résumé du poste

Zohorecruit is seeking a senior data engineering professional for hybrid onsite work in the US, with roles in Draper, UT, and Calabasas/LA areas. The position requires extensive Databricks experience and a strong cloud technology background.

Expect collaboration across BI/ML projects and high standards for data quality and performance. The role emphasizes real-time and batch pipelines, data ingestion, and API development in a cloud environment.

Qualifications

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

Responsabilités

• Design and build scalable batch and real-time datapipelines.
• 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.

Connaissances

Databricks

AI

Python

DevOps CI/CD

Formation

Bachelor’s degree in a related technical field

Outils

Spark

Azure

REST APIs

Cloud platforms

Description du poste

City: Calabasas, CA / Draper, UT
Onsite/ Hybrid/ Remote:

• 1 day a week on site in LA
• Draper, UT - 3 days a week onsite.

Duration: Fulltime

Rate Range: Up to $130k to $140k PA - Las Vegas, NV and Up to $130k to $150k PA - Calabasas, CA depending on experience.

Work Authorization: GC, USC Only

MustHave

• Databricks
• AI
• Python
• DevOpsandCI/CD

Responsibilitie s:

• Designandbuildscalablebatchandreal-timedatapipelines.
• Developdataingestion,processing,andanalyticalworkflows.
• BuilddataproductsandintelligentAPIs.
• Ensuredataquality,reliability,andperformance.
• Collaboratewithcross-functionalteamstotranslatebusinessneedsintodatasolutions.
• Supportcloud-baseddataarchitectureforBIandAI/MLusecases.
• ParticipateincodereviewsandCI/CDpractices.

Qualificatio ns:

• Bachelor’sdegreeinarelatedtechnicalfieldrequired.
• 10+yearsofdataengineeringexperience.
• StrongexperiencewithDatabricks,Spark,andcloudplatforms.
• ProficiencyinPythonandSQL.
• Hands-onexperiencewithAzuredataservices.
• ExperiencewithRESTAPIsandDevOpspractices.