Senior Data Engineer: Remote (Azure, Databricks Lakehouse)

TaskVerse; United States; Remote; USD 138,000 - 143,000; Full time

Job summary

Pride Global is seeking a Principal Data Engineer for a remote contract to lead scalable data pipelines using Python, Databricks, and Azure. You will shape lakehouse architectures, enforce governance, and mentor junior engineers.

You will collaborate across data teams, drive engineering standards, and ensure secure, maintainable platforms for a state organization. This 12+ month engagement offers hands-on leadership and enterprise-scale impact.

Qualifications

• Five+ years in Databricks, data engineering, data integration, data warehousing, and cloud computing.
• Five+ years developing data pipelines with Python.
• Three+ years designing and developing Databricks Medallion Lakehouse architecture.

Responsibilities

• Design, develop, test, and maintain scalable data pipelines using Python and Databricks.
• Build and optimize Databricks Medallion Lakehouse architecture for enterprise data integration and analytics.
• Apply data governance, data quality, and data management practices across the data lifecycle.
• Develop data models that support reliable access to information and analytics needs.
• Manage Azure resources and contribute to reliable, efficient data operations.
• Automate Azure data resources using DataOps practices and promote repeatable engineering workflows.
• Collaborate with teams to address technical requirements and improve data platform performance.
• Mentor junior data engineers and database administrators, promoting best practices.

Skills

Python

Databricks

Azure

Data governance

Data quality

Data modeling

DataOps

Mentoring

Education

Bachelor's degree in Computer Science or equivalent

Tools

Databricks

Job description

Pride Global is seeking a Principal Data Engineer for a remote contract to lead scalable data pipelines using Python, Databricks, and Azure. You will shape lakehouse architectures, enforce governance, and mentor junior engineers.

You will collaborate across data teams, drive engineering standards, and ensure secure, maintainable platforms for a state organization. This 12+ month engagement offers hands-on leadership and enterprise-scale impact.