Data Engineer - Databricks

Jobgether • AZ

63d • $65,000 - $130,000

About The Position

This role offers the opportunity to lead and shape large-scale data engineering initiatives in a dynamic, enterprise-focused environment. The Data Engineer will architect scalable data pipelines and systems using PySpark, AWS, and Databricks, while collaborating with cross-functional teams to solve complex data challenges. You will also mentor engineers, drive technical excellence, and implement best practices to ensure robust, high-quality data solutions that support critical business decisions. This position is ideal for a seasoned professional who thrives on technical leadership, innovation, and working with large-scale datasets.

Requirements

• 10+ years of experience in data engineering or related fields.
• Hands-on expertise with Python, SQL, PySpark, AWS, and Databricks.
• Experience leading technical teams or projects with strong leadership and communication skills.
• Deep understanding of data architecture, pipeline design, and enterprise-scale data management.
• Fluent in English, both spoken and written.

Responsibilities

• Lead the technical direction for data engineering projects and initiatives.
• Design, develop, and maintain scalable, secure, and efficient data pipelines and architectures using PySpark, AWS, and Databricks.
• Mentor and guide a team of engineers, ensuring adherence to best practices and high code quality.
• Collaborate with product, engineering, and data stakeholders to solve enterprise-scale data challenges.
• Analyze, optimize, and troubleshoot complex data workflows to ensure reliability and performance.

Benefits

• Competitive annual salary range of $65,000 – $130,000 based on experience and expertise.
• Flexible working hours in a fully remote environment.
• Health insurance coverage (medical and dental) for eligible employees.
• 401(k) contribution plan.
• Professional development fund and access to soft-skill development courses.
• 15 days of paid time off annually.
• Supportive environment prioritizing work-life balance, growth, and skill development.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 11-50 employees