ZipRecruiter

Log In

1

Sas Developer Jobs in Florida (NOW HIRING)

NAVA Software Solutions

Sr. ETL Engineer

Orlando, FL · On-site

NAVA Software solutions is looking for a Sr. ETL Engineer Details: Sr. ETL Engineer Location ... SAS can be beneficial for data analysis and reporting * Create Tableau Dashboards that interact ...

Ra

Marketing Analytics Manager

Tampa, FL

... SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics, Statistical Programming ...

Ra

Marketing Analytics Manager

Miami, FL

... SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics, Statistical Programming ...

Ra

Marketing Analytics Senior Manager

Miami, FL

... SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics, Statistical Programming ...

USM

Pega Developer

Tampa, FL

$53.25 - $69.75/hr

Job Title: Pega Developer Location: Tampa, FL Duration: Full time. Primary Skills: Pega Java ... Preferred Other SAS Candidate Skills: Intermediate Demonstrated interpersonal/verbal communication ...

Ra

Marketing Analytics Manager

Tallahassee, FL

... SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics, Statistical Programming ...

Ra

Marketing Analytics Senior Manager

Tampa, FL

... SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics, Statistical Programming ...

LumenData

MDM Tech Lead

Miami, FL · On-site

Informatica SAS MDM Configuration: Configure and customize Informatica SAS MDM to implement the ... Engineering, Business, or other related scientific or technical discipline.

Msmc

Hospital BI Developer

Miami Beach, FL · On-site

Programming experience required, such as SQL, SAS, or Java * Experience with data query, visualization, dashboard and/or scorecard tools (analytics tools) a plus, such as SAP BOE (BOBIP), Tableau ...

Corys

Electrical Engineer

Jacksonville, FL · On-site

As a subsidiary of CORYS SAS in France, we bring over two decades of industry leadership and innovation in full-scope training and engineering simulation technologies. With over 250 employees ...

next page

Showing results 1-20

All JobsSas Developer JobsSas Developer Jobs in Florida

Sas Developer information

See Florida salary details

$6

$40

$57

How much do sas developer jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for sas developer in Florida is $40.44, according to ZipRecruiter salary data. Most workers in this role earn between $37.74 and $44.71 per hour, depending on experience, location, and employer.

How much do SAS programmers earn?

SAS programmers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in data analysis and programming may earn higher salaries, especially with certifications or specialized knowledge of SAS tools.

What is SAS developer salary?

The salary of a SAS developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled SAS developers with certifications and expertise in data analysis and programming tools tend to earn higher salaries.

Can AI replace SAS?

SAS developers use specialized software for data analysis and reporting, and while AI can automate some tasks like data processing and predictive modeling, it is unlikely to fully replace the need for skilled SAS developers who design, implement, and interpret complex analytics solutions. AI tools can augment their work but require human oversight and expertise. Proficiency in SAS programming, data management, and understanding of statistical methods remain essential for the role.

What is the difference between Sas Developer vs Data Analyst?

AspectSas DeveloperData Analyst
Required CredentialsProficiency in SAS programming, often with a degree in computer science, statistics, or related fieldsDegree in statistics, mathematics, or related fields; skills in data visualization and analysis tools
Work EnvironmentTypically in IT or analytics teams within finance, healthcare, or pharma industriesIn business, marketing, or finance departments analyzing data for insights
Employer & Industry UsageUsed by organizations needing advanced data processing and reporting with SASUsed across various industries for interpreting data and supporting decision-making

The main difference is that a Sas Developer specializes in developing and maintaining SAS-based data solutions, while a Data Analyst focuses on interpreting data and generating insights, often using a variety of tools including SAS. Both roles require strong analytical skills, but Sas Developers are more technical and programming-focused, whereas Data Analysts emphasize data interpretation and communication.

Is SAS a good career?

A career as a SAS developer involves working with the SAS programming language and analytics tools to analyze data and generate reports. It is in demand across industries such as healthcare, finance, and government, with opportunities for certification and skill development. SAS developers typically require strong analytical skills and knowledge of data management and statistical analysis.

What Is a SAS Developer?

A SAS developer has extensive experience with SAS, a computer program developed by the SAS Institute. As a SAS developer, your job duties include improving and writing program-specific code, developing data sets and projects, and performing marketing analysis using reports you’ve created. This job generally requires highly specialized IT skills, including familiarity with other computer programs and mainframe programming languages, and is a great way to advance your career in tech. Of course, you must have previous job experience working with SAS. Other qualifications include a bachelor’s degree in computer science or related field, though some employers prefer a master’s degree. In some cases, several years of proven experience may be substituted for formal education.

What is a SAS Developer?

A SAS Developer is a professional who specializes in using SAS (Statistical Analysis System) software to manage, analyze, and interpret large sets of data. They design, develop, and implement data-driven solutions, often working in fields such as healthcare, finance, or research. SAS Developers write and optimize SAS programs to automate data processing, create reports, and ensure data quality. Their role often involves collaborating with data analysts, statisticians, and business teams to support decision-making.

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

To thrive as a SAS Developer, you need strong programming skills in SAS, a solid understanding of data analysis, and a relevant degree in computer science, statistics, or a related field. Familiarity with SAS tools such as Base SAS, SAS/SQL, SAS Macros, and experience with databases or data warehousing systems is typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills in this role. These skills and qualities are crucial for delivering accurate data solutions, collaborating with teams, and ensuring data-driven decision-making in organizations.

How does a SAS Developer typically collaborate with data analysts and business stakeholders on projects?

SAS Developers often work closely with data analysts to understand data requirements and ensure that data extraction, transformation, and loading (ETL) processes meet project needs. They also interact with business stakeholders to clarify reporting objectives and deliver actionable insights. Effective communication is key, as developers must translate technical findings into business-friendly reports, and may participate in regular meetings to align on project progress and priorities. Collaboration tools and version control systems are commonly used to streamline teamwork and document changes.
More about Sas Developer jobs
What are popular job titles related to Sas Developer jobs in Florida? For Sas Developer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Sas Developer jobs in Florida look for? The top searched job categories for Sas Developer jobs in Florida are:
What cities in Florida are hiring for Sas Developer jobs? Cities in Florida with the most Sas Developer job openings:
What are popular job titles related to Sas Developer jobs in FL? For Sas Developer jobs in FL, the most frequently searched job titles are:
Sas Developer jobs near you
Information Technology_USA - USA_Data Scientist

Information Technology_USA - USA_Data Scientist

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Local to Raleigh, NC Only!
Role Overview
We are seeking a highly experienced Senior Statistical Programmer / Clinical Data Architect with 15+ years of expertise in clinical data programming, CDISC standards, and cloud-based analytics platforms. The ideal candidate will lead end-to-end clinical data workflows, regulatory submissions, and modern data platform transformations in GxP-regulated environments.
This role requires strong domain expertise in SDTM, ADaM, regulatory submissions, and SAS/Python/R programming, combined with experience in cloud platforms (AWS/Azure) and clinical data modernization initiatives.
Key Responsibilities
Clinical Data Programming & Regulatory Submissions
• Design, develop, and validate SDTM and ADaM datasets in compliance with CDISC standards
• Lead generation of define.xml, aCRF/eCRF annotations, and submission-ready deliverables
• Develop and optimize automated submission pipelines for FDA and global regulatory authorities
• Ensure compliance with GxP, 21 CFR Part 11, HIPAA, and ICH E6 guidelines
Data Engineering & Automation
• Architect and implement end-to-end clinical data pipelines using SAS, Python, and R
• Develop reusable SAS macro libraries and automation frameworks
• Build scalable data pipelines including modern formats (JSON/XPT alternatives)
• Drive migration from legacy systems to modern data architectures
Cloud & Platform Engineering
• Lead implementation and optimization of SAS Viya platforms on AWS/Azure
• Manage cloud infrastructure components (EKS, EC2, EFS, FSx, Databricks, etc.)
• Implement FinOps practices for cost governance and optimization
• Evaluate and onboard next-gen analytics platforms (e.g., Databricks)
Leadership & Stakeholder Management
• Lead cross-functional teams across US, UK, and offshore locations
• Collaborate with clinical, statistical, regulatory, and IT stakeholders
• Drive Agile delivery and sprint planning for data and platform initiatives
• Manage vendor relationships, tool selection, and licensing strategies
Compliance & Governance
• Ensure adherence to regulatory and audit requirements (FDA, OCC, SOX, Basel III as applicable)
• Maintain audit-ready documentation and validation processes
• Implement data governance, traceability, and reproducibility standards
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Statistics, Life Sciences, or related field
• 15+ years of experience in statistical programming and clinical data management
• Strong expertise in:
o SAS (Base, Macro, SQL, ODS, STAT, Graph)
o CDISC standards (SDTM, ADaM, define.xml)
o Regulatory submissions (FDA, global agencies)
• Hands-on experience with:
o Python (Pandas) and/or R (admiral, Shiny)
o Cloud platforms (AWS/Azure)
• Strong understanding of GxP and clinical compliance frameworks
Preferred Qualifications
• Experience with SAS Viya architecture and administration
• Familiarity with Databricks, DBT, or modern data engineering tools
• Knowledge of CI/CD tools (Jenkins, Git)
• Experience in financial/regulatory environments (Basel III, CCAR, OCC) is a plus
• AWS or cloud certifications
Key Skills
• Clinical Data Standards: SDTM, ADaM, CDISC
• Programming: SAS, Python, R, SQL
• Cloud: AWS, Azure
• Tools: Pinnacle 21, Git, Jenkins, Power BI, Grafana
• Methodologies: Agile, DevOps, Data Governance
Role Descriptions: Key ResponsibilitiesClinical Data Programming & Regulatory SubmissionsDesign| develop| and validate SDTM and ADaM datasets in compliance with CDISC standardsLead generation of define.xml| aCRF/eCRF annotations| and submission-ready deliverablesDevelop and optimize automated submission pipelines for FDA and global regulatory authoritiesEnsure compliance with GxP| 21 CFR Part 11| HIPAA| and ICH E6 guidelinesData Engineering & AutomationArchitect and implement end-to-end clinical data pipelines using SAS| Python| and RDevelop reusable SAS macro libraries and automation frameworksBuild scalable data pipelines including modern formats (JSON/XPT alternatives)Drive migration from legacy systems to modern data architecturesCloud & Platform EngineeringLead implementation and optimization of SAS Viya platforms on AWS/AzureManage cloud infrastructure components (EKS| EC2| EFS| FSx| Databricks| etc.)Implement FinOps practices for cost governance and optimizationEvaluate and onboard next-gen analytics platforms (e.g.| Databricks)Leadership & Stakeholder ManagementLead cross-functional teams across US| UK| and offshore locationsCollaborate with clinical| statistical| regulatory| and IT stakeholdersDrive Agile delivery and sprint planning for data and platform initiativesManage vendor relationships| tool selection| and licensing strategiesCompliance & GovernanceEnsure adherence to regulatory and audit requirements (FDA| OCC| SOX| Basel III as applicable)Maintain audit-ready documentation and validation processesImplement data governance| traceability| and reproducibility standardsRequired QualificationsBachelors or Masters degree in Computer Science| Statistics| Life Sciences| or related field15+ years of experience in statistical programming and clinical data managementStrong expertise in: oSAS (Base| Macro| SQL| ODS| STAT| Graph)oCDISC standards (SDTM| ADaM| define.xml)oRegulatory submissions (FDA| global agencies)Hands-on experience with: oPython (Pandas) and/or R (admiral| Shiny)oCloud platforms (AWS/Azure)Strong understanding of GxP and clinical compliance frameworksPreferred QualificationsExperience with SAS Viya architecture and administrationFamiliarity with Databricks| DBT| or modern data engineering toolsKnowledge of CI/CD tools (Jenkins| Git)Experience in financial/regulatory environments (Basel III| CCAR| OCC) is a plusAWS or cloud certificationsKey SkillsClinical Data Standards: SDTM| ADaM| CDISCProgramming: SAS| Python| R| SQLCloud: AWS| AzureTools: Pinnacle 21| Git| Jenkins| Power BI| GrafanaMethodologies: Agile| DevOps| Data Governance
Essential Skills: Key ResponsibilitiesClinical Data Programming & Regulatory SubmissionsDesign| develop| and validate SDTM and ADaM datasets in compliance with CDISC standardsLead generation of define.xml| aCRF/eCRF annotations| and submission-ready deliverablesDevelop and optimize automated submission pipelines for FDA and global regulatory authoritiesEnsure compliance with GxP| 21 CFR Part 11| HIPAA| and ICH E6 guidelinesData Engineering & AutomationArchitect and implement end-to-end clinical data pipelines using SAS| Python| and RDevelop reusable SAS macro libraries and automation frameworksBuild scalable data pipelines including modern formats (JSON/XPT alternatives)Drive migration from legacy systems to modern data architecturesCloud & Platform EngineeringLead implementation and optimization of SAS Viya platforms on AWS/AzureManage cloud infrastructure components (EKS| EC2| EFS| FSx| Databricks| etc.)Implement FinOps practices for cost governance and optimizationEvaluate and onboard next-gen analytics platforms (e.g.| Databricks)Leadership & Stakeholder ManagementLead cross-functional teams across US| UK| and offshore locationsCollaborate with clinical| statistical| regulatory| and IT stakeholdersDrive Agile delivery and sprint planning for data and pla, Project Code :

Apply