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Sas Python Jobs (NOW HIRING)

VENESCO, LLC

SAS Programmer

Falls Church, VA · On-site +1

Description SAS Programmer Location: Remote/Hybrid Job Type: Full-Time Position Overview: Venesco ... Experience supporting FDA submissions Knowledge of Python

Capgemini America, Inc.

SAS Viya Admin

Chicago, IL

Proficient in at least one scripting language Bash Python * Strong background in automation of deployment and monitoring workflows Security * Experience integrating SAS Viya with identity providers ...

MSR Cosmos

SAS Developer

Dallas, TX · On-site

SAS Developer Location: Dallas, TX (5 days onsite) Duration: Long Term Looking for 13+ years of ... Familiarity with other programming languages such as Python, R, or Java. * Experience with data ...

Purple Drive Technologies

Clinical Data Architect

Raleigh, NC · On-site

$62 - $79.75/hr

SAS (Base, Macro, SQL, ODS, STAT, Graph) * CDISC Standards (SDTM, ADaM, Define.xml) * FDA & Global Regulatory Submissions * Python (Pandas) and/or R (Admiral, Shiny) * AWS/Azure Cloud Platforms * SAS ...

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How much do sas python jobs pay per hour?

As of Jun 12, 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.

Lead Data Analyst (SAS & Python)

Nastech Global

Irving, TX • On-site

Full-time

Posted 22 days ago

Job description

Job Title: Lead Data Analyst (SAS & Python)
Location: Irving, TX(Onsite)
Job Type: Full Time
 
Job Description
 Data Governance Knowledge, SAS, Python, SQL, Mortgage Banking
Roles & Responsibilities
•              Should have expertise in working with Python
•              Understand the current data processing, flow and business logic applied in SAS dataset.
•              Work on the data issues identified for Business and Technology processes as part of the DCRM work.
•              Understand existing artifacts like Data Models, metadata, DQ practices, Data Lineage etc.
•              Assist in root cause analysis for the Data Concern identified.
•              Act as liaison between business function stakeholders and technology teams to elicit, analyze, document, communicate and validate.
•              Should be able to drive the datahub migration project from SAS to Python
•              Should be able to lead and direct a team of Data Analysts