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Sas Python Jobs (NOW HIRING)

Perform exploratory data analysis using SAS, Databricks, and Python to identify trends, patterns, and insights across enterprise data sources. * Design, build, and maintain reports and interactive ...

Proficiency in data analysis using SAS, Python, SQL, and large-scale data platforms such as Databricks. * Experience building reports and interactive dashboards using Power BI or comparable business ...

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 ...

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

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

Python Developer

Dallas, TX · On-site

$40 - $60/hr

Python developer, C# ,Informatica, SQL, Snowflake, python They will be evaluating a given product, a SAS product or it can be an AWS product, and they are evaluating to see if the product is good ...

Past experience of working with SQL, SAS/Python and BI tool (e.g. Tableau). Advanced knowledge required * Ability to write and create decks and very good communication skills. Ability to present ...

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SAS Python information

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$58

$86

How much do sas python jobs pay per hour?

As of Jul 10, 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.

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.

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.

More about SAS Python jobs
What cities are hiring for Sas Python jobs? Cities with the most Sas Python job openings:
What states have the most Sas Python jobs? States with the most job openings for Sas Python jobs include:
What job categories do people searching Sas Python jobs look for? The top searched job categories for Sas Python jobs are:
Infographic showing various Sas Python job openings in the United States as of July 2026, with employment types broken down into 61% Full Time, 9% Part Time, and 30% Contract. Highlights an 87% In-person, 4% Hybrid, and 9% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
SAS developer || Reston, VA || Fulltime || Onsite

SAS developer || Reston, VA || Fulltime || Onsite

Smart IT Frame

Reston, VA • On-site

Full-time

Posted 16 days ago


Job description

SAS Developer
Reston, VA
Fulltime 
Onsite

Description:

  • 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
  • Must be a self-starter and motivated to learn new technologies, skills, and knowledge required by duties and responsibilities in required timeframe
  • Adept at leading resources, and people to ensure successful on schedule project completion

Desired Skills 

  • Skilled in performance tuning and working with large data sets
  • Experience with data modeling, data architecture, and data governance
  • Experience in Agile ceremonies and best practices