Senior Python Engineer

Quantum Technologies. LLC; Spring (TX); On-site; USD 120,000 - 180,000; Full time

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

• 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.

Required 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.

Preferred Qualifications:

• Experience with Databricks or Palantir.
• Background in Finance or FinTech environments.
• Ability to demonstrate practical experience through examples of challenging projects and solutions.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.