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Remote Sas Programmer Jobs in Seattle, WA (NOW HIRING)

Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions * Navigate ambiguity and complexity by forming clear ...

Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions * Navigate ambiguity and complexity by forming clear ...

Machine Learning Scientist III

Seattle, WA · Remote

  • Medical

  • Dental

  • Vision

  • PTO

Partner closely with product managers, engineers, and business stakeholders to understand requirements, define problems, and communicate your findings and results effectively. Who you are: Experience ...

AI Scientist I

Seattle, WA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. * Evaluate the performance of MLLM models using ...

Showing results 41-48

Remote Sas Programmer information

See Seattle, WA salary details

$16

$55

$90

How much do remote sas programmer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote sas programmer in Seattle, WA is $55.77, according to ZipRecruiter salary data. Most workers in this role earn between $39.13 and $70.05 per hour, depending on experience, location, and employer.

Can you work remotely as a SAS programmer?

Yes, SAS programmers can often work remotely, especially as many organizations adopt flexible work arrangements. Remote SAS programming roles typically require strong skills in SAS software, data analysis, and communication tools like email and video conferencing. Availability of remote work depends on the employer and specific job requirements.

Are remote SAS programmers in demand?

Remote SAS programmers are in steady demand due to their specialized skills in data analysis, statistical programming, and familiarity with SAS software. Many industries such as healthcare, pharmaceuticals, and finance seek these professionals for data management and reporting tasks, often offering remote work options. The demand is expected to remain stable as data-driven decision-making continues to grow.

What is a remote SAS programmer?

A Remote SAS Programmer is a professional who uses SAS (Statistical Analysis System) software to manage, analyze, and interpret data while working from a remote location. They design and write SAS programs for statistical analysis, data management, and reporting, often for industries like healthcare, finance, or research. Remote SAS Programmers may collaborate with teams virtually, ensuring data accuracy and providing insights without being physically present in an office. They need strong analytical skills, proficiency in SAS programming, and the ability to work independently.

What does a remote SAS programmer do?

SAS software provides statistical analysis, business intelligence, and data management tools for businesses and organizations. As a remote SAS programmer, you have a variety of software development duties. For example, you may develop new applications or find new uses for already-existing applications. You may configure tools to work in specific fields or code dashboards for end users. Your responsibilities and focus vary depending on the industry. They may be related to market and business research or scientific data analysis.

Does remote SAS programmer have remote jobs?

Remote SAS programmers can find remote job opportunities, as many companies hire for this role to analyze data and generate reports remotely. These positions often require proficiency in SAS software, data management skills, and sometimes certifications, with flexible schedules being common in remote work environments.

What is the difference between Remote Sas Programmer vs Remote Data Analyst?

AspectRemote Sas ProgrammerRemote Data Analyst
Required credentialsTypically requires SAS certification, degree in computer science, statistics, or related fieldOften requires a degree in statistics, mathematics, or related field; certifications like CAP or Microsoft certifications are common
Work environmentPrimarily focused on coding, data manipulation, and statistical analysis using SAS softwareInvolves data collection, cleaning, analysis, and reporting, often using various tools including Excel, SQL, and visualization software
Employer and industry usageUsed mainly in healthcare, pharmaceuticals, and clinical research industriesWidely used across finance, marketing, healthcare, and technology sectors

While both roles involve data analysis, Remote Sas Programmers focus on coding and statistical modeling using SAS software, primarily in clinical and healthcare industries. Remote Data Analysts have a broader scope, working with various tools and industries to interpret data and generate reports.

What are some common challenges faced by remote SAS programmers, and how can they be overcome?

Remote SAS Programmers often face challenges such as communicating effectively with distributed teams, managing time zone differences, and ensuring secure access to sensitive data. To overcome these, it's important to establish clear communication routines, use collaborative project management tools, and follow strict data security protocols as outlined by your employer. Additionally, staying proactive in seeking feedback and clarifying project requirements can help ensure smooth workflow and successful project delivery.

What are the key skills and qualifications needed to thrive as a remote SAS programmer, and why are they important?

To thrive as a Remote SAS Programmer, you need a strong background in statistical analysis, programming with SAS, and typically a degree in statistics, computer science, or a related field. Familiarity with SAS Base, SAS Macro, and data management tools, as well as knowledge of clinical data standards like CDISC, is often required, and certifications such as SAS Certified Base Programmer can be advantageous. Excellent problem-solving abilities, attention to detail, and effective remote communication skills help set candidates apart in virtual environments. These competencies ensure accurate data analysis, adherence to project standards, and efficient collaboration with cross-functional teams from a distance.

What are the most commonly searched types of Sas Programmer jobs in Seattle, WA?

The most popular types of Sas Programmer jobs in Seattle, WA are:

What are popular job titles related to Remote Sas Programmer jobs in Seattle, WA?

For Remote Sas Programmer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Sas Programmer jobs in Seattle, WA look for?

The top searched job categories for Remote Sas Programmer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Sas Programmer jobs?

Cities near Seattle, WA with the most Remote Sas Programmer job openings:

Infographic showing various Remote Sas Programmer job openings in Seattle, WA as of August 2026, with employment types broken down into 78% Full Time, 8% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,998 per year, or $55.8 per hour.

Data Scientist (Technical Leadership)

Meta

Bellevue, WA • On-site, Remote

$210K/yr

Full-time

Re-posted 19 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies


Job description

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide range of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist (Technical Leadership) Responsibilities:
  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
  • Understand and identify opportunities to more responsibly leverage cutting edge technology
  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
  • Navigate ambiguity and complexity by forming clear hypotheses, making data-driven decisions, and proactively identifying areas for deeper investigation

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in data science or analytics, leading analytics work in an IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  • Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  • Experience framing and communication skills

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Masters or Ph.D. Degree in a quantitative field
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$210,000/year to $281,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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