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Sas Software Engineer Jobs (NOW HIRING)

Jobtailor

Systems Software Engineer

California, MO · On-site

$154K - $183K/yr

Advanced knowledge of SAS and NVMe protocols * Experience in overall architecture of software ... Rust Programming * Python Programming * SAS and NVMe Protocols ATS Optimization Keywords Hard ...

SAS

Software Developer

Cary, NC · On-site

Software Developer- Hybrid, Cary, North Carolina We're a leader in data and AI. Through our ... Experience with SAS programming or familiarity with SAS language, tools, or development ...

Jobtailor

Systems Software Engineer

Roseville, CA · On-site

$181K - $214K/yr

Advanced knowledge of SAS and NVMe protocols * Excellent analytical and problem-solving skills ... Python Programming * Software Systems Architecture * Software Systems Testing Methodology

StradIT

Mainframe Capacity Planning Engineer - US

Tampa, FL · On-site

$46.25 - $59.50/hr

Mainframe Capacity Planning Engineer Experience: 5 to 10 Years Employment: W2 (GC and USC only ... raw data using SAS software on the mainframe and in distributed environments. Specific ...

System Canada Technologies

SAS Developer

New York, NY · On-site

We learn continuously, both on the job and through formal training programs. "SAS application developer to participate in all aspects of the software development process (e.g. requirements, designing ...

Sonsoft Inc

SAS Developer

Charlotte, NC · On-site

At least 4 years of experience in software development life cycle stages.. * Certification in SAS ... Access Data, Managing Data , Handling Errors, Macro Processing , Advanced Programming Techniques.

Sonsoft Inc

SAS Developer

Charlotte, NC · On-site

At least 4 years of experience in software development life cycle stages * Certification in SAS ... Access Data, Managing Data , Handling Errors, Macro Processing , Advanced Programming Techniques.

Prosum

SAS Lead Developer

Pasadena, CA · On-site

Lead SAS Developer Overview: In this role, you will be responsible for the development of a highly optimized, enterprise-quality, risk/analytic software as a member of the IT Risk Management ...

Prosum

SAS Lead Developer

Pasadena, CA · On-site

... best SAS programming practices. You will lead and be accountable for SAS development projects ... Design and develop efficient, flexible and supportable software for data transformations and risk ...

Sas

Software Developer (Emerging Careers)

Cary, NC · On-site

About the job The SAS Content Assessment team is seeking a Software Developer (Emerging Careers). In this role, you will join a team dedicated to helping SAS 9 and SAS Viya 3 customers evaluate their ...

Sas

C Software Developer

Cary, NC · On-site

$50 - $67.25/hr

About the job The Base SAS team is looking for a C Software Developer to design, develop, and debug software of diverse scope for new and existing products in accordance with designated development ...

AG Technologies

SAS Engineer

Pasadena, CA · On-site

Company Description AG Technologies was founded as a software solutions company in 2008 & has its ... The current SAS programs are developed on Mainframe and individual PCs (PC SAS). Client will be ...

SAS

Software Developer, AML

Cary, NC · On-site +1

Be part of something bigger: join SAS Applications R&D today. As a Software Developer, you will: * Design and develop high quality, testable and scalable software solutions within established ...

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Sas Software Engineer information

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$63.5K

$147.5K

$205.5K

How much do sas software engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for sas software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a SAS software engineer?

A SAS Software Engineer is a technology professional who specializes in designing, developing, and maintaining software applications using SAS (Statistical Analysis System) tools and programming languages. They work with data analytics, statistical modeling, and reporting solutions, often within industries like healthcare, finance, or research. SAS Software Engineers collaborate with data analysts, business stakeholders, and IT teams to create solutions that help organizations make data-driven decisions. Their responsibilities may include data integration, automation of data processes, and ensuring data quality and security. Proficiency in SAS programming and familiarity with databases, SQL, and data visualization tools are essential for this role.

How does a SAS software engineer typically collaborate with data analysts and other stakeholders in a project?

As a SAS Software Engineer, you will frequently work closely with data analysts, business stakeholders, and sometimes database administrators to ensure that data solutions meet project requirements. This collaboration often involves gathering and clarifying requirements, designing efficient data processes, and translating business needs into technical specifications. Regular communication, such as project meetings and code reviews, is essential to ensure alignment and to troubleshoot data or performance issues. Being proactive in sharing progress and addressing challenges helps facilitate smoother workflows and successful project outcomes.

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

To thrive as a SAS Software Engineer, you need a strong background in programming (especially SAS), data analysis, and statistical methods, typically supported by a degree in computer science, statistics, or a related field. Experience with SAS software suites (such as Base SAS, SAS/SQL, and SAS/STAT), data warehousing tools, and relevant certifications like SAS Certified Base Programmer are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help you work efficiently with cross-functional teams and interpret data requirements. These competencies ensure accurate data management, reliable analytics, and successful project delivery in data-driven environments.

What is the difference between Sas Software Engineer vs Data Analyst?

AspectSas Software EngineerData Analyst
Required CredentialsBachelor's in Computer Science, SAS certificationsBachelor's in Statistics, Data Science, or related field
Work EnvironmentSoftware development teams, IT departmentsBusiness units, research teams
Industry UsageFinance, healthcare, retail, techMarketing, finance, healthcare, research
Common Search IntentDeveloping SAS applications, programmingData analysis, reporting, insights

The main difference between a Sas Software Engineer and a Data Analyst lies in their focus: Sas Software Engineers develop and maintain SAS-based software solutions, requiring programming skills and technical expertise. Data Analysts primarily interpret data to generate insights, often using SAS for analysis but with less emphasis on software development. Both roles are vital in data-driven industries but serve different functions within organizations.

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Sas Software Engineer jobs near you
Infographic showing various Sas Software Engineer job openings in the United States as of September 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Mainframe Capacity Planning Engineer - US

Jersey City, NJ • On-site

StradIT
IT Services • 11 - 50 employees
Learn more about StradITexternal

$51.25 - $65.75/hr

Full-time

Posted 20 days ago

Job description

Role: Mainframe Capacity Planning Engineer

Experience: 5 to 10 Years

Employment: W2 (GC and USC only)

Locations: Jersey City NJ, Tampa FL, Dallas TX & Boston MA

Position Summary


The Senior Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity at DTCC. The successful candidate will collect, process and validate system resource data along with business volume data for future analysis using sound data science principles. One should have a basic understanding of Mainframe while knowledgeable of sources and tools used to collect, validate, then process required system data. One should have a solid background in descriptive statistics to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments.

Specific Responsibilities

Mainframe capacity planning

  • Run and validate the Data Collection and Reporting process using scheduling software.
  • Design basic reports using SAS
  • Build and Edit JCL in ISPF
  • Creating / Updating policies, job aids and other documentation

MICS/MXG support and maintenance

  • Learn MICS/MXG Database Architecture
  • Diagnose MICS related errors.
  • Able to execute and validate MICS administrative tasks to maintain proper maintenance.

Data analysis - Descriptive Statistics

  • Basic methods to Summarize Data
  • Display data in an organized manner.
  • Able to identify, describe patterns and relationships.

Business volumes and other reporting

  • Collection and reporting of business volume data from varied sources.
  • Risk assessments of extreme market conditions for selected business streams
  • Produce/update a Business Process Requirements document for selected business streams.

Management / Regulatory / Audit

  • Organize and store Capacity Planning artifacts in their proper location for future retrieval.
  • Ad hoc report development for senior business and management forums

 Mitigates risk by following established procedures and monitoring controls, spotting key errors and demonstrating strong ethical behavior.

Qualifications

  • Minimum of 5 years of related experience
  • Bachelor's degree in a mathematics / statistics discipline preferred or equivalent work experience

Specific Skills & Technologies

  • SAS experience required.
  • Understanding of mainframe technology and components
  • MICS/MXG experience essential.
  • Familiarity with mainframe capacity / performance data (SMF, RMF, CICS, DB2, MQ)
  • MS Office skills, in particular intermediate PowerPoint, and Excel skills
  • Excellent analytical skills including data exploration, analysis, and production of models.
  • Solid background with Descriptive Statistics
  • Inferential Statistics are a plus.

Apply