Python/Pyspark Developer - Only local to CA

 

Our client is looking for an experienced Senior Backend Engineer with deep expertise in Python and PySpark to join their backend and data engineering team. The ideal candidate has a proven track record of building scalable backend systems, designing efficient data pipelines, and delivering high-quality production code in complex environments.
Position is onsite 3x a week, starting day 1. Key Responsibilities
Design, develop, and maintain backend services and high-performance data pipelines using Python and PySpark.
Architect and implement scalable APIs and microservices to support business-critical applications and integrations.
Design and optimize PostgreSQL data models and queries for performance and reliability.
Collaborate with cross-functional teams including data engineers, architects, and DevOps to ensure system robustness and scalability.
Lead technical design discussions, mentor junior engineers, and enforce best practices in backend development.
Participate in performance tuning, debugging, and production support.
Integrate with external systems such as OpenText (experience helpful but not required).
Required Skills and Experience
7+ years of professional software development experience, with a focus on backend systems.
Expert-level proficiency in Python and PySpark for backend and data processing workloads.
Proficiency with DataBricks.
Strong understanding of backend architecture, distributed systems, and API design.
Experience with PostgreSQL or other relational databases.
Familiarity with cloud-based environments (AWS) and CI/CD pipelines and Java.
Strong problem-solving skills and ability to work independently on complex projects