Capgemini

Senior Python Data Engineer - SAS Migration

Capgemini
Apply
7 days ago

Base Salary

$80k - $106k/yr

Responsibilities

  • Lead the design of the Python-based risk analytics architecture and establish coding standards, best practices, and CI/CD pipelines.
  • Analyze, refactor, and migrate legacy SAS code and macros into efficient Python while preserving model logic and outputs.
  • Optimize algorithms and processing for performance, scalability, large datasets, and heavy computations.
  • Implement automated testing to compare Python results with legacy SAS outputs and resolve discrepancies with model validation teams.
  • Collaborate with risk analysts, data engineers, and model validation specialists to understand requirements and support compliant migration.
  • Mentor team members and risk analysts on Python practices and facilitate knowledge transfer.
  • Maintain technical documentation, data flow diagrams, and code comments for model governance and audit requirements.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; a master’s degree is a plus.
  • At least 7 years of software development experience with a strong focus on Python for data analysis, modeling, or ETL.
  • Expert Python programming skills, including experience with pandas and NumPy, plus experience interpreting or migrating SAS code.
  • Experience building data-intensive applications or analytics platforms and designing architectures for large datasets, databases, or data lakes.
  • Knowledge of software development lifecycle practices, Git, code reviews, unit and integration testing, and CI/CD.
  • Experience in regulated industries or risk analytics environments, including knowledge of auditability, data governance, and model documentation.
  • Strong analytical, problem-solving, collaboration, communication, and stakeholder-management skills.

Benefits

  • Day-one onsite in New York City with a hybrid work arrangement.
  • Flexible work options.
  • Healthcare coverage including dental, vision, mental health, and well-being programs.
  • 401(k), Employee Share Ownership Plan, and other financial well-being programs.
  • Paid time off, paid holidays, and paid parental leave.
  • Family-building benefits including adoption assistance, surrogacy, and cryopreservation.
  • Subsidized backup childcare or elder care, tutoring, mentoring, coaching, learning programs, employee resource groups, and disaster relief.

Tech Stack

GitNumPyPandasPythonSass

Categories

Data Engineering
Capgemini

About Capgemini

10,000+ employees

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real | www.capgemini.com

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