Python Developer with SAS experience

Accuro; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading company in the information technology sector is seeking a Python Developer with expertise in migrating SAS code to Python. This fully remote role involves analyzing and optimizing data workflows and scripts, ensuring high performance and scalability. Ideal candidates will have at least 5 years of relevant experience and proficiency in key data manipulation libraries.

Qualifications

• 5+ years of Python development experience.
• Strong experience with SAS Base and SAS Macros.
• Experience converting SAS code to Python in a production environment.

Responsibilities

• Analyze existing SAS programs, macros, and data workflows.
• Translate and rewrite complex SAS scripts into Python.
• Optimize Python scripts for performance and scalability.

Skills

Python development

SAS Base

SAS Macros

Data manipulation with Pandas

Data manipulation with NumPy

SQL

ETL processes

Cloud platforms (GCP/AWS/Azure)

Jupyter Notebooks

Git and version control

Job description

Direct message the job poster from Accuro

Staffing Expert/ConsultantUSA Resources Provider | Service Provider| Business Development | Business Relationship Management | Client Relationship…

Job Title: Python Developer with SAS experience

Job Location: 100% Remote Job

Job Type: 6+ Months contract

Job Description:

We are seeking an experienced Python Developer with strong hands-on expertise in migrating legacy SAS code to Python. The ideal candidate should have a solid background in data analytics, scripting, and performance optimization. This role is critical in modernizing analytical workflows, ensuring scalability, and improving execution efficiency on modern platforms.

Key Responsibilities:

Analyze existing SAS programs, macros, and data workflows.

Translate and rewrite complex SAS scripts into equivalent Python code using libraries like Pandas, NumPy, PySpark, SQLAlchemy, etc.

Validate the accuracy and performance of the converted code by comparing output with the original SAS results.

Work closely with data analysts, data engineers, and business teams to understand logic and business requirements behind the SAS scripts.

Optimize Python scripts for performance, readability, and scalability.

Develop automated test cases to verify the integrity of migrated code.

Maintain proper documentation for both legacy and converted code.

Required Skills & Experience:

5+ years of Python development experience.

Strong experience with SAS Base and SAS Macros, with the ability to read and interpret complex SAS scripts.

Proven experience converting SAS code to Python in a production environment.

Experience with data manipulation libraries such as Pandas, NumPy, and SQLAlchemy.

Good understanding of SQL, ETL processes, and data warehousing concepts.

Familiarity with cloud platforms (GCP/AWS/Azure) is a plus.

Experience working with Jupyter Notebooks, Git, and version control best practices.

Strong problem-solving skills and attention to detail.

Preferred Qualifications:

Experience with PySpark or distributed data processing frameworks.

Familiarity with BI tools (Tableau, Power BI) and reporting.

Exposure to CI/CD pipelines and DevOps practices is a plus.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Information Services

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