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Job Overview
Join our dynamic team as a Python Developer, where you will play a pivotal role in designing and implementing innovative software solutions that drive our projects forward! You’ll collaborate with cross-functional teams to develop robust applications and contribute to the overall success of our technology initiatives. If you’re passionate about coding, eager to learn, and ready to make an impact, we want to hear from you!

Our client is a highly successful Fintech organization located in Glendale, CA. Currently they are looking for an experienced Senior Backend Engineer with deep expertise in Python and PySpark to join their backend and data engineering team. This role is fully backend-focused — no frontend development is required. 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.

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.
  • Strong understanding of backend architecture, distributed systems, and API design.
  • Experience with PostgreSQL or other relational databases.
  • Familiarity with cloud-based environments (AWS, Azure, or GCP) and CI/CD pipelines.
  • Strong problem-solving skills and ability to work independently on complex projects.

Job Type: Contract

Pay: $57.50 - $69.25 per hour

Application Question(s):

  • Are you local to Glendale, CA?
  • Can you please let me know the best time to call you ?
  • 1 round F2F interview only are you okay with it ?
  • Your employer Details ?

Experience:

  • Python: 10 years (Required)
  • Pyspark: 10 years (Required)
  • Databricks : 10 years (Required)

Work Location: On the road

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