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Weekend Sas Programmer Jobs in Washington (NOW HIRING)

USM

Data Analyst

Mclean, VA

Candidate should be able to use SAS to query database and import different type of files. Must be very detail oriented. Must be a fast learner. Needs to be able to see the weakness in process and ...

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Weekend Sas Programmer information

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$16

$55

$90

How much do weekend sas programmer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for weekend sas programmer in Washington is $55.50, according to ZipRecruiter salary data. Most workers in this role earn between $38.94 and $69.71 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 Washington?

The most popular types of Sas Programmer jobs in Washington are:

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Weekend Sas Programmer jobs near you

Data Scientist - MID Job#480

Allen Integrated Solutions

Springfield, VA • On-site

Full-time

Re-posted 12 hours ago

Job description

Data Scientist - MID
Location: Springfield, VA
TS/SCI REQUIRED
Position Responsibilities:
  • Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
  • Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.
  • Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government.
  • Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.
  • Conduct extensive collections and analytic modeling, data processing,

Required Skills. Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.

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