SAS to Python / R Migration Developer

Ignite IT, LLC; Suitland (MD); On-site; Full time

Benefits offered by this job

401(k)

Dental insurance

Health insurance

Paid time off

Tuition reimbursement

Job summary

A technology consulting firm seeks a SAS to Python/R Migration Developer to convert and validate SAS code into Python/R. This role demands strong programming skills in SAS, Python, and R with a focus on execution quality and reproducibility. Candidates should have 4+ years of experience in analytics or data engineering and be familiar with tools like Pandas, NumPy, and SQL. The position also offers a comprehensive benefits package including health insurance and 401(k) matching.

Qualifications

• 4+ years of analytics or data engineering experience required.
• Strong hands-on SAS programming experience is essential.
• Proficiency in Python and/or R is necessary.

Responsibilities

• Convert SAS programs into Python and/or R code.
• Implement data ingestion, transformation, and analytics workflows.
• Perform side-by-side validation of SAS vs Python/R outputs.

Skills

SAS programming

Python

R

Data validation

Analytics

Tools

Git

CI/CD

Pandas

NumPy

SciPy

tidyverse

data.table

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.

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 / 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

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