Principal Data Engineer

Location: Alhambra, California

Work Arrangement: Remote

Contract Duration: 1-year, with possible extension, W2

Schedule: Monday–Thursday, 4/40 schedule

Hours: 10-hour workdays between 7:15 AM–6:00 PM, based on program manager discretion

Pay: $98.00/hr

Position Overview

We are seeking an experienced Principal Data Engineer to design, implement, and manage scalable enterprise data infrastructure. This position will provide specialized technical expertise across data engineering, data integration, data quality, data operations, platform architecture, and data governance.

The ideal candidate will have extensive hands-on experience with Databricks, Python, Microsoft Azure, Lakehouse architecture, and DataOps, along with the ability to provide technical guidance and mentorship to junior team members.

Responsibilities

• Design, implement, and support reliable and scalable data infrastructure.
• Develop and maintain enterprise data pipelines using Python.
• Design and develop Databricks Medallion Lakehouse architecture.
• Support data integration, data warehousing, and cloud-based data environments.
• Establish and apply data governance and data quality best practices.
• Develop and maintain data models.
• Manage Microsoft Azure resources within the data environment.
• Automate Azure data resources using DataOps practices.
• Support the reliability, scalability, and overall quality of analytical data environments.
• Collaborate effectively with technical teams, business partners, and stakeholders.
• Mentor and provide technical guidance to junior Data Engineers and Database Administrators.

Required Qualifications

• 5+ years of professional experience specializing in Databricks.
• Significant experience with data engineering, data integration, data warehousing, and cloud computing.
• 5 years of experience developing data pipelines using Python.
• 3+ years designing and developing Databricks Medallion Lakehouse architecture.
• 3+ years applying data governance and data quality best practices.
• 1+ year of experience developing data models.
• 1+ year of experience managing Azure resources.
• 1+ year of experience automating Azure data resources using DataOps.
• Strong analytical skills and business acumen.
• Excellent verbal and written communication skills.
• Strong organizational and time-management abilities.
• Ability to manage multiple priorities simultaneously.
• Ability to work both independently and collaboratively.
• Strong attention to detail and commitment to delivering high-quality work.
• Ability to mentor and support junior technical professionals.

Education

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• Additional qualifying experience may substitute for the required education on a year-for-year basis.

Additional Information

• Candidates must be California residents.
• Position is expected to be mostly remote.
• Work is scheduled on a 4/40 schedule, Monday through Thursday, consisting of four 10-hour workdays.
• Work shifts will fall between 7:15 AM and 6:00 PM at the discretion of the program manager.