TL;DR

SAS & Python/PySpark Developer (AI): Designing and implementing migration strategies to convert SAS code to Python/PySpark for data engineering and data science solutions with an accent on data migration, transformation, and optimization. Focus on building robust data pipelines, integrating machine learning models, and ensuring high-quality, scalable data solutions on cloud platforms.

Location: Hybrid in New York, NY, USA (day one onsite required).

Salary: $110,841–$145,000 yearly.

Company

%hirify_global% is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society.

What you will do

Analyze existing SAS code and workflows to identify migration opportunities.
Design and implement migration strategies to convert SAS code to Python/PySpark.
Collaborate with onshore and offshore teams to ensure timely and high-quality delivery.
Document migration processes, methodologies, and results for future reference.
Implement data engineering solutions and optimize PySpark programs.

Requirements

Strong hands-on experience with SAS (Base and Advanced).
Proven experience in data migration and transformation projects.
Proficiency in Python for data engineering and data science, with strong knowledge of libraries such as Pandas and NumPy.
Strong experience in programming and optimizing PySpark for implementing data engineering solutions and models.
Advanced skills in writing and optimizing SQL queries.
Experience with any major cloud platform (AWS or GCP preferred).
Excellent written and verbal communication skills; ability to work collaboratively with a positive and proactive attitude.

Culture & Benefits

Flexible work options.
Comprehensive healthcare including dental, vision, mental health, and well-being programs.
Financial well-being programs such as 401(k) and Employee Share Ownership Plan.
Paid time off, paid holidays, and paid parental leave.
Family building benefits like adoption assistance and subsidized back-up child/elder care.
Mentoring, coaching, and learning programs.
Employee Resource Groups.
Commitment to diversity, inclusion, and equal opportunity employment.