Data Engineer - Databricks

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer - Databricks in Arizona (USA).

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.

Accountabilities:

• 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.

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.
• Comfortable working remotely with a dedicated home office setup.

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.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!