Capgemini

Capgemini

Senior Python Data Engineer - SAS Migration

Brooklyn, NY, US · Senior · Full-time

Sponsorship not specified$80k-$106kDetected 4 days ago
PythonAlgorithmsCode ReviewGitCI/CDPandasNumPyData AnalysisData EngineeringData ScienceAccessibilityFinancial ModelingTest AutomationSASLeadershipCommunicationCollaborationProblem SolvingMentoringRisk Modeling

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odds of building a lasting career here

53Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

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About the role

  • This leadership role focuses on designing a robust and maintainable Python architecture that meets high standards of performance, scalability, and auditability.

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.
  • 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.
  • Analytics & Architecture: Proven experience building data-intensive applications or analytics platforms (e.g., financial modeling systems, business intelligence pipelines).
  • Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
  • Capgemini supports all aspects of your well-being throughout the changing stages of your life and career.

Requirements

  • 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.
  • This is a general description of the Duties, Responsibilities and Qualifications required for this position.

Compensation

  • $80k-$106k

Benefits

  • Healthcare including dental, vision, mental health, and well-being programs
  • 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

Company info

  • For eligible employees, we offer:

Equal opportunity

  • Equal Opportunity Employer encouraging diversity in the workplace.
  • If you need assistance or accommodation, please reach out to your recruiting contact.
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This listing is sourced directly from Capgemini's careers page and normalized into a canonical job model.