AI Data Engineer developing high - quality Python code and optimizing product functionalities. Collaborating with AI engineers to integrate advanced machine learning algorithms at XTEL.
IT
Hybrid SAS to Python/R Migration Architect
Posted 2 months ago
About the role
- SAS to Python/R Migration Architect leading enterprise-scale migrations with end-to-end strategy. Focus on analysis, architecture, and collaboration with stakeholders in a hybrid work environment.
Responsibilities
- Lead **enterprise-scale migrations** from SAS (Base SAS, PROC SQL, STAT, ETS, MACRO, etc.) to Python and/or R
- Perform **detailed SAS estate assessments**, including:
- Code inventory and dependency mapping
- Macro complexity analysis
- Data access patterns (SAS datasets, DBs, flat files)
- Statistical method equivalency analysis
- Define **target-state architecture** for Python/R analytics platforms (libraries, frameworks, environments)
- Establish **migration patterns and standards**, including:
- SAS PROC → Python/R library mappings
- Macro-to-function translation strategies
- Reusable templates and shared components
- Design **validation and reconciliation frameworks** to ensure:
- Statistical equivalence
- Numeric tolerances
- Regulatory and audit compliance
- Guide performance optimization strategies for large datasets
- Identify **automation opportunities** (code scanners, translators, test harnesses)
- Lead technical reviews and approve migrated code
- Mentor developers and review complex conversions
- Communicate migration risks, tradeoffs, and timelines to leadership
Requirements
- 8+ years of advanced analytics or statistical programming experience
- 5+ years hands-on SAS development (Base SAS, PROC SQL, MACRO, STAT)
- Proven experience **architecting or leading SAS → Python and/or R migrations**
- Deep expertise in:
- Python (NumPy, Pandas, SciPy, statsmodels, scikit-learn)
- and/or R (tidyverse, data.table, caret, survival, forecast)
- Strong understanding of **statistical methods parity** between SAS and open-source tools
- Experience with data platforms (SQL databases, cloud storage, data lakes)
- Familiarity with CI/CD, version control, and testing frameworks for analytics code
- Nice to Have
- Experience in regulated environments (government, healthcare, finance)
- Prior work modernizing legacy analytics platforms
- Exposure to cloud analytics stacks (AWS, Azure, GCP)
- Experience designing automated validation frameworks
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
Job title
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Not specified
Degree requirement
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