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SAS to Python / R Migration Developer

Ignite ITSuitland-Silver Hill, Maryland🇺🇸United StatesPosted 23 Jan 2026

Why This Role Stands Out

You'll thrive in this hybrid role as a SAS to Python/R Migration Developer by leveraging your strong SAS and Python/R skills to translate complex analytical code, contributing directly to impactful technology modernization. This position offers excellent opportunities for skill development and career growth within a reputable company, so apply today to join their collaborative team.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Suitland-Silver Hill, Maryland, United States
Posted
7 months ago
SQLNumPySciPyGitPandasPython

Job Description

The SAS to Python/R Migration Developer is responsible for hands-on conversion, testing, and validation of SAS analytical code into Python and/or R under the guidance of a migration architect. This role focuses on execution quality, code accuracy, and reproducibility.

This is a build-and-deliver role for someone who enjoys translating logic and making things work correctly.

 

Key Responsibilities

  • Convert SAS programs into Python and/or R code following defined standards
  • Translate:
    • SAS DATA steps
    • PROC SQL
    • Statistical PROCs
    • SAS Macros into Python/R functions or modules
  • Implement data ingestion, transformation, and analytics workflows
  • Perform side-by-side validation of SAS vs Python/R outputs
  • Debug discrepancies in calculations or statistical results
  • Write clean, maintainable, well-documented Python/R code
  • Develop unit tests and validation scripts
  • Optimize performance for large datasets
  • Collaborate closely with architects and data stakeholders
  • Participate in code reviews and knowledge transfer
  • 4+ years of analytics or data engineering experience
  • Strong hands-on SAS programming experience
  • Strong proficiency in Python and/or R
  • Practical experience translating business logic across languages
  • Familiarity with:
    • Pandas / NumPy / SciPy or tidyverse / data.table
    • SQL and relational data concepts
  • Experience validating statistical and analytical outputs

 

Nice to Have

  • Prior participation in SAS migration projects
  • Experience with Git, CI/CD, and automated testing
  • Exposure to cloud-based analytics environments
  • Understanding of performance tuning in Python or R
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Referral program
  • Tuition reimbursement
  • Vision insurance

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