Senior Python Engineer — Scale, Data & DevOps Expert

Quantum Technologies. LLC

Spring (TX)

On-site

USD 120,000 - 180,000

Full time

23 hours ago
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Job summary

Quantum Technologies. LLC in Spring, TX is seeking a highly skilled Python engineer to refactor and optimize codebases for scalable, modular architectures. You will collaborate with product and engineering teams to deliver robust Python solutions.

The role emphasizes CI/CD, testing, and DevOps practices, with hands-on work using Pandas, NumPy, and PySpark for data processing and modeling on large-scale projects; Databricks or Palantir experience is a plus.

Qualifications

  • Expert-level proficiency in Python, including algorithms and advanced programming concepts.
  • Strong background in software engineering and experience with large, complex projects.
  • Hands-on experience with CI/CD, unit testing (Pytest or similar), and DevOps practices.
  • Familiarity with Pandas, NumPy, and PySpark.

Responsibilities

  • Refactor and optimize existing Python code for scalability, modularity, and maintainability.
  • Implement software engineering best practices, including CI/CD pipelines, testing frameworks, and DevOps principles.
  • Collaborate with team members to deliver high-quality Python solutions.
  • Work on large-scale projects, ensuring robust architecture and performance improvements.
  • Utilize libraries such as Pandas, NumPy, and PySpark for data processing and modeling.

Skills

Python
Algorithms
Software engineering
CI/CD
Unit testing
DevOps
Pandas
NumPy
PySpark

Tools

CI/CD tooling
Unit testing (Pytest)
DevOps tooling
Databricks
Palantir
Pandas
NumPy
PySpark

Job description

Quantum Technologies. LLC in Spring, TX is seeking a highly skilled Python engineer to refactor and optimize codebases for scalable, modular architectures. You will collaborate with product and engineering teams to deliver robust Python solutions.

The role emphasizes CI/CD, testing, and DevOps practices, with hands-on work using Pandas, NumPy, and PySpark for data processing and modeling on large-scale projects; Databricks or Palantir experience is a plus.

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