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Weekend Sas Programmer Jobs in Naperville, IL (NOW HIRING)

Demonstrated technical skills, including strong proficiency with programming languages such as Python, R, or SAS, and strong proficiency with database design involving SQL, are required.

... and software engineering. Identifies patterns and looks for opportunities for optimization ... Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science ...

New

Technical Skills - SQL, Advanced Excel, R/SAS. Nice to have Skill/Competency: * Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities:

Technical Skills - SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: * Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities:

Advanced programming skills for front-end ML application design (Shiny, Dash, Streamlit) and ML workflows for HPC modeling; proficiency with statistical programs such as R and Python; workflow and ...

Data Engineering & DevelopmentDesign and develop end-to-end data ingestion| transformation| and loading (ETL/ELT) pipelines.Build and maintain enterprise data lakes and data warehouses on Azure.

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and ...

Data Scientist

Wood Dale, IL · On-site

$115 - $130/hr

Parts Supply, Integrated Solutions, Repair and Engineering and Expeditionary Services. AAR's purpose is to empower people to build innovative aerospace solutions today so you can safely reach your ...

The Data Scientist partners closely with product, engineering, and data teams to ensure models are accurate, explainable, and embedded into real-world workflows. Success in this role requires strong ...

The Data Scientist partners closely with product, engineering, and data teams to ensure models are accurate, explainable, and embedded into real-world workflows. Success in this role requires strong ...

The Data Scientist partners closely with product, engineering, and data teams to ensure models are accurate, explainable, and embedded into real-world workflows. Success in this role requires strong ...

Showing results 21-40

Weekend Sas Programmer information

See Naperville, IL salary details

$14

$48

$79

How much do weekend sas programmer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for weekend sas programmer in Naperville, IL is $48.93, according to ZipRecruiter salary data. Most workers in this role earn between $34.33 and $61.44 per hour, depending on experience, location, and employer.

What is a Weekend SAS Programmer?

A Weekend SAS Programmer is responsible for developing, maintaining, and troubleshooting SAS programs, typically on weekends. These professionals work with datasets, generate reports, and support data analysis for businesses or research projects. The role may involve data cleaning, statistical analysis, and automating processes using SAS. Often, this position is suited for professionals seeking part-time or flexible work arrangements.

What are the typical responsibilities of a Weekend SAS Programmer, and how does the role fit within the overall data team?

As a Weekend SAS Programmer, you are primarily responsible for developing, testing, and optimizing SAS programs to manage, analyze, and report on large datasets—often to meet tight deadlines or provide critical weekend support. The role may involve collaborating remotely with project managers, analysts, or other programmers to ensure data integrity and timely project delivery. Weekend shifts typically require a high level of autonomy, but you may also participate in virtual meetings or provide status updates to the weekday team. This structure allows organizations to maintain continuous data operations and quickly address time-sensitive analytical needs, making your contributions vital to team efficiency.

What are the key skills and qualifications needed to thrive in the Weekend SAS Programmer position, and why are they important?

To thrive as a Weekend SAS Programmer, you need strong expertise in SAS programming, data analysis, and statistical methodologies, often supported by a degree in computer science, statistics, or a related field. Proficiency with SAS software, SQL, and experience with data management tools or relevant certifications such as Base SAS Certification are important. Effective time management, communication skills, and the ability to work independently are key soft skills in this role. These abilities ensure accurate data handling and reporting within limited timeframes, supporting business or research objectives during non-standard working hours.

What are the most commonly searched types of Sas Programmer jobs in Naperville, IL?

The most popular types of Sas Programmer jobs in Naperville, IL are:

What are popular job titles related to Weekend Sas Programmer jobs in Naperville, IL?

For Weekend Sas Programmer jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Weekend Sas Programmer jobs in Naperville, IL look for?

The top searched job categories for Weekend Sas Programmer jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Weekend Sas Programmer jobs?

Cities near Naperville, IL with the most Weekend Sas Programmer job openings:

Infographic showing various Weekend Sas Programmer job openings in Naperville, IL as of August 2026, with employment types broken down into 53% Full Time, and 47% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $101,777 per year, or $48.9 per hour.

$51K - $87K/yr

Full-time

Posted 24 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Applications submitted without a personal statement will not be considered. Please upload a single combined PDF containing both your resume and personal statement in the Resume/CV section of the application.

Summary

In this role, you will be paired with a Vizient executive as a mentor for the duration of this one-year program. You will be responsible for data science projects across the healthcare domains of clinical & operations, supply chain, pharmacy, and healthcare strategy.You will work with executive mentor(s) and data scientists to match projects to your interests and goals, with an aim to improve operations, enhance products, or generate new insights.

Responsibilities

  • Work with internal data science teams on assigned projects.

  • Develop data science approaches, including machine learning models, improve understanding and predict health care outcomes, conduct data management and other assigned tasks.

  • Collaborate with internal Vizient staff and leaders, and external stakeholders including Vizient clients, vendors, and other third parties.

  • Conduct self-directed research into healthcare data topics.

  • Participate in client-facing meetings and 'voice-of-customer's work to gain understanding of Vizient business needs.

  • Participation in cross-functional project assignments and present a capstone project or summary of projects to peers and mentors at the end of the Fellowship.

Qualifications

  • Relevant degree preferred: Master's degree in data science, statistics, medical/health informatics, or related field desired.

  • No previous work experience is required.

  • Demonstrated technical skills, including strong proficiency with programming languages such as Python, R, or SAS, and strong proficiency with database design involving SQL, are required.

  • Demonstrated good proficiency in quantitative skills necessary for data analysis and machine learning model development (e.g., statistical/Bayesian inference, mathematics, computer science, etc.) are required.

  • Strong familiarity and practical experience with Generative AI models (Large Language Models, Agentic Workflows, and other frameworks) is preferred.

  • Solid understanding of machine learning operations is preferred.

  • Experience working with health care data (EHR/EMR data, medical terminologies, etc.) is strongly preferred.

  • Strong communication and project management skills are preferred.

Application Requirements

  • Resume/CV

  • A one-page personal statement (explaining why you are interested in Vizient and this fellowship)

  • Required Later: Project Portfolio

    Estimated Hiring Range:

    At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $51,900.00 to $87,900.00.

    This position is also incentive eligible.

    Vizient has a comprehensive benefits plan! Please view our benefits here:

    http://www.vizientinc.com/about-us/careers

    Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

    The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.