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Sas Python Jobs (NOW HIRING)

Peregrine Economics LLC

Associates

Chicago, IL

$80K - $95K/yr

SAS; Python (Textual Analysis, Data Analysis); SQL; R; Tableau; Bloomberg Terminal. Some telecommuting permitted. $80,000/yr - $95,000/yr. Benefits incl. med, dental, vision, life ins, long term ...

Leisnoi Incorporated

Python Developer

$51.50 - $71/hr

Job Title Python Developer Education N/A Location Remote (Virtual) - US - US (Primary) Career Level ... These projects involve refactoring legacy SAS codebases, developing efficient data pipelines ...

TriOptus LLC

Senior Data Analytics Developer

Mclean, VA · On-site

Codify already available methodologies into functional codes and create an automation dashboard (using SAS, Python and React libraries) * Working as a part of a team to support line of business areas ...

CareSet Systems

SAS Statistician

Houston, TX · On-site

$95K/yr

Outcomes: * Standardize SAS Macro library within 3 months * Double data output rate by reducing ... STATA, R, Python experience Additional Information Compensation: $95k+ base salary

CareSet Systems

SAS Statistician

Houston, TX · On-site

$95K/yr

Outcomes: * Standardize SAS Macro library within 3 months * Double data output rate by reducing ... STATA, R, Python experience Additional Information Compensation: $95k+ base salary

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How much do sas python jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for sas python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Sas Python position, and why are they important?

To thrive in a Sas Python role, candidates need strong programming skills in both SAS and Python, coupled with a background in data analysis, statistics, or a related quantitative field. Familiarity with data visualization tools, SQL databases, and certifications such as SAS Base Programmer or Python programming are commonly expected. Strong analytical thinking, problem-solving, and effective communication skills help professionals explain technical insights to non-technical stakeholders. These abilities are critical for efficiently managing and interpreting large datasets to drive informed business decisions.

Are SAS programmers in demand?

SAS programmers are in demand in industries such as healthcare, finance, and pharmaceuticals that rely on data analysis and reporting. Skills in SAS, along with knowledge of SQL and data management, can improve job prospects, especially for roles involving data analysis, statistical modeling, and regulatory compliance.

What are typical projects or assignments for someone in a Sas Python role?

Professionals in Sas Python positions often work on projects involving data extraction, transformation, and analysis to support business intelligence, reporting, or predictive modeling efforts. Assignments may include writing and optimizing code in SAS to process large datasets, integrating SAS outputs with Python scripts for advanced analytics, or building custom data pipelines and visualizations. Collaboration is frequent with data scientists, business analysts, and IT teams to ensure insights are aligned with organizational goals. This diverse project exposure offers opportunities to continuously expand your skills and make a measurable impact on business outcomes.

Is Python replacing SAS?

For SAS Python professionals, Python is increasingly used alongside or as an alternative to SAS for data analysis, automation, and machine learning tasks. While Python offers open-source flexibility and a large ecosystem of libraries, SAS remains widely used in industries with strict regulatory requirements and existing infrastructure. Transitioning may require learning Python skills such as pandas, NumPy, and scikit-learn, but both tools can complement each other in data environments.

What is a SAS Python job?

A SAS Python job typically involves using both SAS (Statistical Analysis System) and Python for data analysis, statistical modeling, or data engineering tasks. Professionals in this role work with large datasets, performing data manipulation, visualization, and predictive modeling. They often bridge legacy SAS systems with modern Python-based analytics, leveraging libraries like pandas, NumPy, and scikit-learn. These roles are common in industries such as finance, healthcare, and marketing, where data-driven decision-making is crucial.

Can we use Python in SAS?

SAS supports integration with Python through tools like SASPy, which allows SAS users, including those in roles like SAS Python developers, to run Python code within the SAS environment. This enables data analysts and data scientists to leverage Python libraries alongside SAS procedures for data manipulation and analysis.

How hard is it to get a job at SAS?

Securing a SAS Python job typically requires strong programming skills in Python and experience with SAS software, along with relevant data analysis or statistical knowledge. The difficulty depends on the candidate's experience, certifications, and the job market demand, but having a solid technical background and relevant projects can improve chances.
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Sas Python jobs near you
Infographic showing various Sas Python job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 2% Part Time, and 14% Contract. Highlights an 77% In-person, 18% Hybrid, and 5% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
SAS Developer in Reston VA

SAS Developer in Reston VA

Hexaware Technologies, Inc

Reston, VA

Other

Posted 21 days ago

Job description

SAS Developer
Reston VA

Skillsets:
  • Strong experience in programming languages of SAS, PL/SQL,Unix shell scripts, Python.
  • Proficiency in Amazon Web Services (AWS) architecture and technologies such as S3, Redshift, RDS, Glue (Catalog and ETL), EMR, Lambda, Step Functions, SQS/SNS, and ECS, CloudWatch, Secrets Manager among others
  • Experience in one or more of the following software skills: API Gateway, JSON, PARQUET, XML, Docker, Urban Code, Jenkins, GITLab, Terraform
  • Strong experience in data engineering, data warehousing, data security and ETL processes
  • Experience creating and using APIs for developing or programming software
  • Strong SQL Experience
  • Strong analytical and problem-solving skills
  • Ability to drive code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate
  • 5+ years' AWS cloud-based technology services experience

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