Principal Data Engineer - Remote Databricks Lakehouse Lead

Russell Tobin; Alhambra (CA); Remote; USD 138,000 - 143,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan

Life & disability insurance

Employee discounts

Job summary

PrideGlobal seeks a Principal Data Engineer for an Alhambra, CA remote role on a 12+ month contract engaging in advanced data engineering, data integration, and cloud-native analytics.

You will design scalable pipelines, implement governance and data quality, and mentor junior engineers while leveraging Databricks, Lakehouse architectures, and Azure resources. This role requires strong Python skills and 5+ years in data engineering.

Qualifications

• 5+ years of professional experience with Databricks, data engineering, data integration, data warehousing, and cloud computing.
• 5 years of experience developing data pipelines using Python.
• 3+ years of experience designing and developing Databricks Medallion Lakehouse architecture, with expertise in data governance and data quality.
• Experience with data modeling, Azure resource management, and DataOps automation; bachelor's degree in Computer Science, Data Engineering, or a related field, or equivalent qualifying experience.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Python and Databricks.
• Build and optimize Databricks Medallion Lakehouse architecture to support enterprise data integration and analytics.
• Implement data governance, data quality, and data management best practices.
• Develop data models and manage Azure resources to support reliable data operations.
• Automate Azure data resources using DataOps practices and mentor junior data engineers and database administrators.

Skills

Databricks

Data engineering

Python

Data governance

Data modeling

DataOps

Azure resources

Education

Bachelor's degree in Computer Science / Data Engineering

Tools

Databricks

Azure

Job description

PrideGlobal seeks a Principal Data Engineer for an Alhambra, CA remote role on a 12+ month contract engaging in advanced data engineering, data integration, and cloud-native analytics.

You will design scalable pipelines, implement governance and data quality, and mentor junior engineers while leveraging Databricks, Lakehouse architectures, and Azure resources. This role requires strong Python skills and 5+ years in data engineering.