Data Engineer

About the Role:

• Own data pipeline components from implementation through production support.
• Work with growing independence across Claims and Consumer data domains.

What You'll Do:

• Build and maintain moderate-complexity ETL/ELT pipelines using Python, SQL, Spark/PySpark.
• Contribute to design, quality, and operational reliability.
• Collaborate with engineers, analysts, and stakeholders to deliver reliable data changes.

What You'll Bring:

• 2+ years of data engineering or related experience.
• Proficiency in Python, SQL, and distributed data processing.
• Experience with cloud platforms and workflow orchestration.

Compensation and Benefits:

• Salary range of $93,000–$141,000 per year.
• Comprehensive benefits include medical, dental, vision, unlimited PTO, and 401(k) match.