Senior Python Data Engineer - SAS Migration

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Job Location - NYC NY (Day One Onsite - Hybrid)

About The Role

• •The Senior Python Developer (Migration Lead) will spearhead the end-to-end migration of our risk analytics platform from SAS to a Python-based technology stack.
• •This leadership role focuses on designing a robust and maintainable Python architecture that meets high standards of performance, scalability, and auditability.
• •The individual will collaborate with cross-functional teams (including risk analysts, data engineers, and model validation specialists) to ensure a seamless transition of critical risk modeling processes to a modern, automated, and compliant Python environment

Key Responsibilities

• •Technical Leadership : Lead the design of the new Python-based risk analytics architecture and establish coding standards, best practices, and CI/CD pipelines for the migration project.
• •SAS-to-Python Code Migration : Analyze complex legacy SAS code and macros, then refactor and rewrite them into efficient, well-structured Python code, preserving existing model logic and outputs.
• •Performance & Scalability : Optimize code and algorithms for performance; identify opportunities to leverage data pipelines or distributed processing to handle large datasets and heavy computations within the Python environment.
• •Quality Assurance & Testing : Implement automated testing frameworks to verify that Python outputs match legacy SAS outputs. Work closely with model validation teams to address any discrepancies, ensuring accuracy and regulatory compliance.
• •Collaboration & Knowledge Transfer: Partner with risk analytics stakeholders to thoroughly understand model requirements and ensure their needs are met. Support and mentor team members (including risk analysts) on Python best practices and facilitate knowledge transfer.
• •Documentation & Compliance: Maintain comprehensive technical documentation (designs, code comments, data flow diagrams) to support model risk governance and audit requirements. Ensure all development processes follow internal model risk management policies and quality controls.

Desired Skills & Experience

• •Education & Experience : Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (Master's a plus). 7+ years of software development experience with a strong focus on Python for data analysis, modeling, or ETL.
• •Python & SAS Expertise : Expert-level Python programming skills (e.g., proficiency with pandas, NumPy, etc.) and experience interpreting or migrating SAS code in a data-intensive analytics context.
• •Analytics & Architecture: Proven experience building data-intensive applications or analytics platforms (e.g., financial modeling systems, business intelligence pipelines). Skilled in designing architecture for processing large datasets and integrating with databases or data lakes.
• •Software Development Practices : Strong knowledge of the software development lifecycle and best practices, including version control (Git), code reviews, unit/integration testing, and continuous integration/continuous delivery (CI/CD) in a collaborative team environment.
• •Problem-Solving & Communication: Excellent analytical and problem-solving skills with attention to detail. Strong collaboration and communication abilities to work effectively with cross-functional teams and convey technical concepts to non-technical stakeholders.
• •Regulated Industry Knowledge : Experience working in regulated industries or risk analytics environments, with an understanding of the importance of auditability, data governance, and thorough model documentation for compliance

Life At Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• •Flexible work
• •Healthcare including dental, vision, mental health, and well-being programs
• •Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• •Paid time off and paid holidays
• •Paid parental leave
• •Family building benefits like adoption assistance, surrogacy, and cryopreservation
• •Social well-being benefits like subsidized back-up child/elder care and tutoring
• •Mentoring, coaching and learning programs
• •Employee Resource Groups
• •Disaster Relief

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Salary Transparency

The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effe

• Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 to $106050 /yearly.
• This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
• Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

ctively to drive business outcomes.

The base compensation range for this role in the posted location is:$80420 to $106050

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base com