Senior Backend Engineer; Python, PySpark

*** This role requires ONSITE interview in the Southern California office ***

We re looking for a Senior Backend/Data Platform Engineer with extensive handson experience in Python, PySpark, and Databricks. You will be part of a talented team that builds next generation of high- performance data systems.

• Engineer, optimize, and maintain backend services and data platform using Python, PySpark, and Databricks.
• Build scalable APIs and microservices that power mission-critical applications across the enterprise.
• Work on Postgre
  
  SQL data models to ensure rock-solid reliability and performance.
• Work closely with cross-functional teams in delivering resilient, scalable platforms.
• Dive into performance tuning, debugging, and production troubleshooting when systems need your expertise.
• Integrate with external systems like Open Text (a plus, but not a must).

• 8+ years of professional software engineering experience focused on backend systems.
• Proven development skills in Python, PySpark, and Databricks especially for heavy data processing and platform work.
• A deep understanding of backend architecture, distributed systems, and modern API design.
• Hands-on experience with Postgre
  
  SQL or similar relational databases.
• Experience working with cloud ecosystems (AWS, Azure, Google Cloud Platform) and CI/CD tooling.
• An independent, analytical mindset with a passion for tackling complex engineering challenges.

If this is you – please send your resume with direct contact information.