Data Engineer (Databricks)

Insight Global
Irvine, United States of America
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Irvine, United States of America

Tech stack

Clean Code Principles
Java
API
Airflow
Azure
Code Review
Databases
Information Engineering
Data Infrastructure
ETL
Data Systems
JSON
Python
Microsoft SQL Server
Performance Tuning
Azure
SQL Databases
Workflow Management Systems
Azure
Backend
GIT
Software Version Control
Data Pipelines
Databricks

Job description

The Databricks Engineer is responsible for designing and delivering scalable data solutions that support enterprise analytics and business operations. This role focuses on backend data engineering, provides technical leadership, and partners closely with stakeholders to support data platform modernization. In this role, you'll work hands-on building and optimizing data pipelines in Azure and Databricks, collaborate with business and technical partners to design modern data solutions, review code and architecture, support platform modernization initiatives, and act as a technical resource for the broader data engineering team.

Requirements

  • 5+ years of data engineering or related experience
  • Strong experience with Azure data services, including:

? Azure Data Factory (ADF)

? Azure Data Lake (ADLS)

? Databricks

? DBT / Airflow (or similar orchestration tools)

  • Proficiency in Python (Java or Scala acceptable)

  • Expert-level SQL, including performance tuning and data modeling

  • Experience designing enterprise databases (Microsoft SQL Server)

  • Experience with ETL/ELT, APIs (REST/JSON), and version control (Git)

Ability to write scalable, reusable, and maintainable code

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