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Aws Next Gen Stats Jobs (NOW HIRING)

What You'll Do NetDocuments is seeking a Senior Full Stack Software Engineer to help build the next ... Build solutions leveraging AWS services and SQL/NoSQL databases * Integrate internal systems with ...

Senior Software Engineer - Next-Gen

Lehi, UT · On-site +1

$115K - $151K/yr

What You'll Do NetDocuments is seeking a Senior Full Stack Software Engineer to help build the next ... Build solutions leveraging AWS services and SQL/NoSQL databases * Integrate internal systems with ...

... Apigee portal/Drupal/Next-Gen Portal) and API onboarding workflows. • Programming skills in ... preferred), AWS, or Azure. • Strong problem-solving skills and documentation discipline.

... Apigee portal/Drupal/Next-Gen Portal) and API onboarding workflows. • Programming skills in ... Preferred : • Exposure to cloud platforms such as GCP (preferred), AWS, or Azure. Company

We are an AWS Premier Consulting Partner and are committed to delivering excellence in every ... With our expertise in AI-driven analytics, cloud solutions, cybersecurity, and next-gen ...

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

Machine learning development lifecycle - (Data preparation, Data visualization, Statistical ... Git, TensorFlow, PyTorch, PySpark, AWS, MLflow, Docker, Kubernetes, Databricks, SparkSQL, OpenCV ...

Showing results 21-40

Aws Next Gen Stats information

See salary details

$13.5K

$90.7K

$211.5K

How much do aws next gen stats jobs pay per year?

As of Aug 6, 2026, the average yearly pay for aws next gen stats in the United States is $90,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by professionals working in AWS Next Gen Stats roles?

Professionals in AWS Next Gen Stats often face the challenge of processing and analyzing massive volumes of real-time sports data while maintaining data accuracy and system performance. Keeping up with new AWS features and evolving best practices requires continuous learning and adaptation. Additionally, collaborating closely with data engineers, software developers, sports analysts, and clients to translate complex analytics into meaningful insights can be demanding but also rewarding. Navigating these challenges helps build a robust skill set and offers excellent growth opportunities within the fields of cloud data analytics and sports technology.

What is an AWS Next Gen Stats?

An AWS Next Gen Stats job typically involves working with advanced analytics, machine learning, and cloud computing to analyze and interpret complex data, often in the sports and entertainment industries. This role focuses on leveraging AWS technologies to process large datasets, generate insights, and optimize performance metrics. Responsibilities may include building data pipelines, developing analytics dashboards, and collaborating with engineers and analysts to enhance decision-making. Strong skills in AWS services, data engineering, and statistical analysis are usually required.

What are the key skills and qualifications needed to thrive in the AWS Next Gen Stats position, and why are they important?

To succeed in an AWS Next Gen Stats position, you need strong expertise in AWS cloud services, data analytics, and statistical modeling, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools like AWS Lambda, Amazon Redshift, Python, and relevant AWS certifications such as AWS Certified Solutions Architect are often required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate with cross-functional teams and interpret complex data for diverse audiences. These competencies ensure the delivery of accurate, actionable insights from large-scale sports data on robust cloud platforms.

More about Aws Next Gen Stats jobs
What cities are hiring for Aws Next Gen Stats jobs? Cities with the most Aws Next Gen Stats job openings:
What are the most commonly searched types of Aws Next Gen Stats jobs? The most popular types of Aws Next Gen Stats jobs are:
What states have the most Aws Next Gen Stats jobs? States with the most job openings for Aws Next Gen Stats jobs include:
Infographic showing various Aws Next Gen Stats job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,651 per year, or $43.6 per hour.

Information Technology_USA - USA_Data Scientist

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 26 days ago


Job description

ONSITE TO Raleigh NC ONLY!
SAS Viya Developer
Location
Raleigh, NC (Hybrid/Onsite)
Role Overview
We are seeking a highly experienced SAS Viya devloper with experience between 5 to 10 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 Governance15+ years of experience in statistical programming and clinical data management
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| regulator, Project Code :