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SAS to Python​/R Migration Developer

Job in Columbia, Howard County, Maryland, 21046, USA
Listing for: Ignite IT
Full Time position
Listed on 2026-02-22
Job specializations:
  • IT/Tech
    Data Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: SAS to Python / R Migration Developer

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.

Responsibilities
  • Convert SAS programs into Python and/or R code following defined standards
  • Translate SAS DATA steps
  • Translate PROC SQL
  • Translate Statistical PROCs
  • Translate 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
Qualifications
  • 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 / Num Py / Sci Py 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
Benefits
  • 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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