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Amazon Sas Jobs Jobs (NOW HIRING)

Amazon

Manufacturing Quality Engineer, Amazon Leo

Redmond, WA · On-site

$80K - $104K/yr

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable ... R, SAS, Matlab, etc.) experience - 2+ years experience in semi-automated and fully automated ...

Amazon

Economist, Amazon Customer Service

Seattle, WA · On-site

$18.25 - $24.75/hr

... Matlab, SAS - Experience in prediction and forecasting in a research or industrial environment - Experience with handling of large datasets Amazon is an equal opportunity employer and does not ...

Amazon

Senior Data Scientist, Amazon Leo

Bellevue, WA · On-site

Amazon Leo is Amazon's low Earth orbit satellite broadband network. Its mission is to deliver fast ... R, SAS, Matlab, etc.) experience - 4+ years of data scientist experience - Experience with ...

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Amazon Sas Jobs information

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$14

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$79

How much do amazon sas jobs jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for amazon sas jobs in the United States is $49.00, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $61.54 per hour, depending on experience, location, and employer.

What is the difference between Amazon Sas Jobs vs Amazon Data Analyst Jobs?

AspectAmazon Sas JobsAmazon Data Analyst Jobs
Required CredentialsTypically requires SAS certification, data analysis skills, and related degreesRequires data analysis skills, proficiency in SQL, Excel, and often a degree in statistics, mathematics, or related fields
Work EnvironmentData analysis, statistical modeling, and reporting within Amazon's analytics teamsData interpretation, reporting, and supporting business decisions across Amazon departments
Employer & Industry UsageUsed within Amazon's analytics and data science teams for advanced analyticsCommonly employed across Amazon's business units for data-driven decision making

Amazon Sas Jobs focus on statistical analysis and modeling using SAS software, often requiring SAS certifications. Amazon Data Analyst Jobs involve analyzing data, creating reports, and supporting business strategies, typically requiring skills in SQL and Excel. Both roles are integral to Amazon's data-driven culture but differ in tools and specific responsibilities.

Infographic showing various Amazon Sas Jobs job openings in the United States as of August 2026, with employment types broken down into 77% Full Time, 15% Part Time, and 8% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $101,929 per year, or $49 per hour.

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

Smart IT Frame

Reston, VA • On-site

Full-time

Re-posted 23 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