Work Arrangement: • Remote: Open to applicants in the United States, excluding CA, IL, ND, NY, OH ... Databricks and Modern Data Engineering • Lead implementation and scaling of Databricks as the ...
Work Arrangement: • Remote: Open to applicants in the United States, excluding CA, IL, ND, NY, OH ... Databricks and Modern Data Engineering • Lead implementation and scaling of Databricks as the ...
Scientist 2/3
Los Alamos, NM · On-site +1
The Space Remote Sensing and Data Science Group, ISR-6, at Los Alamos National Laboratory is ... Background in engineering, physics, applied mathematics, computer science, data science, or a ...
Scientist 2/3
Los Alamos, NM · On-site +1
The Space Remote Sensing and Data Science Group, ISR-6, at Los Alamos National Laboratory is ... Background in engineering, physics, applied mathematics, computer science, data science, or a ...
Remote Sas Programmer information
See New Mexico salary details
$14.21 - $19.93
4% of jobs
$19.93 - $25.65
2% of jobs
$25.65 - $31.36
15% of jobs
$33.31 is the 25th percentile. Wages below this are outliers.
$31.36 - $37.08
12% of jobs
$37.08 - $42.80
14% of jobs
The median wage is $44.23 / hr.
$42.80 - $48.52
15% of jobs
$48.52 - $54.24
11% of jobs
$56.56 is the 75th percentile. Wages above this are outliers.
$54.24 - $59.95
8% of jobs
$59.95 - $65.67
9% of jobs
$65.67 - $71.39
3% of jobs
$71.39 - $77.11
7% of jobs
$14
$47
$77
How much do remote sas programmer jobs pay per hour?
As of Aug 27, 2026, the average hourly pay for remote sas programmer in New Mexico is $47.49, according to ZipRecruiter salary data. Most workers in this role earn between $33.32 and $59.62 per hour, depending on experience, location, and employer.
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.
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 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 is the difference between Remote Sas Programmer vs Remote Data Analyst?
| Aspect | Remote Sas Programmer | Remote Data Analyst |
|---|---|---|
| Required credentials | Typically requires SAS certification, degree in computer science, statistics, or related field | Often requires a degree in statistics, mathematics, or related field; certifications like CAP or Microsoft certifications are common |
| Work environment | Primarily focused on coding, data manipulation, and statistical analysis using SAS software | Involves data collection, cleaning, analysis, and reporting, often using various tools including Excel, SQL, and visualization software |
| Employer and industry usage | Used mainly in healthcare, pharmaceuticals, and clinical research industries | Widely 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.
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. Strong knowledge of SAS, SQL, and data visualization tools enhances employability in this field.
More about Remote Sas Programmer jobs
What are popular job titles related to Remote Sas Programmer jobs in New Mexico?
For Remote Sas Programmer jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Remote Sas Programmer jobs in New Mexico look for?
The top searched job categories for Remote Sas Programmer jobs in New Mexico are:
What cities in New Mexico are hiring for Remote Sas Programmer jobs?
Cities in New Mexico with the most Remote Sas Programmer job openings:
Executive Director, Analytics & Ecosystem
Albuquerque, NM • On-site, Remote
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 18 days ago
Presbyterian Healthcare Services rating
7.2
Based on 164 frontline employees who took The Breakroom Quiz
345th of 894 rated healthcare providers
Job description
Location Address:
9521 San Mateo NEAlbuquerque, NM 87113-2237
Summary:
The Exec Director, Enterprise Data, Analytics and AI is a senior technical leader responsible for execution, stability, and modernization of Presbyterian's enterprise data and analytics platform across both payer and provider domains.
Reporting to the Vice President, Analytics and AI Ecosystem, this role oversees legacy data environments while leading the transition to a scalable, cloud-native architecture that supports advanced analytics and AI.
This leader is accountable for enterprise data warehouses, operational data stores, and integration frameworks, including platforms such as Epic Caboodle, DB2, Oracle, Business Objects, Tableau, and SAS. The Director leads the migration of these environments to AWS and Databricks-based lakehouse architecture, ensuring continuity of operations while advancing performance, scalability, and innovation.
Balancing operational excellence with transformation, this leader builds a modern data engineering organization that enables high-quality analytics, AI model development, and enterprise decision-making. Guided by Presbyterian's mission and values of excellence, stewardship, integrity, and compassion, this role delivers a reliable, governed, and future-ready data ecosystem.
Work Arrangement:
• Remote: Open to applicants in the United States, excluding CA, IL, ND, NY, OH, WA, and WY.
• Hybrid (Strongly Preferred): For individuals within 60 miles of Albuquerque, in-office presence is required Tuesday through Thursday.
Job Description:
Enterprise Data Platform Operations and Administration
• Oversee administration, performance, and reliability of enterprise data platforms including Epic Clarity, Caboodle, DB2, Oracle, Business Objects, Tableau, and SAS environments.
• Ensure stability and availability of operational data stores, enterprise data warehouses, and reporting platforms supporting clinical, financial, and operational analytics.
• Lead database administration, capacity planning, performance tuning, and lifecycle management across legacy and modern platforms.
• Maintain strong operational controls, backup and recovery processes, and system resiliency.
Cloud Migration and Platform Modernization
• Lead enterprise migration from legacy data warehouses and reporting platforms to AWS-based architecture leveraging Databricks and modern lakehouse design.
• Develop and execute phased migration strategies that minimize business disruption while accelerating modernization.
• Rationalize and retire redundant legacy systems, reducing technical debt and operating cost.
• Optimize data storage, compute, and processing frameworks for performance, scalability, and cost efficiency.
• Partner with Technology Services to align infrastructure, security, and cloud architecture standards.
Databricks and Modern Data Engineering
• Lead implementation and scaling of Databricks as the enterprise data platform for analytics and AI workloads.
• Establish best practices for data engineering using Spark, Delta Lake, and modern data pipeline frameworks.
• Develop reusable data models, curated data layers, and standardized engineering patterns.
• Enable both batch and real-time data processing to support operational and analytic use cases.
Data Integration and Pipeline Reliability
• Oversee all enterprise data ingestion and integration pipelines from source systems including Epic, claims platforms, revenue cycle systems, and ancillary applications.
• Ensure high availability, observability, and monitoring of data pipelines.
• Implement automated testing, data validation, and incident response processes.
• Maintain accurate data lineage, documentation, and change management practices.
AI and Advanced Analytics Enablement
• Build data architectures that support AI/ML model development, deployment, and monitoring.
• Enable support for large language models (LLMs), retrieval-augmented generation (RAG), vector databases, and unstructured data processing.
• Partner with analytics and data science teams to operationalize models and scale AI solutions.
• Ensure data pipelines and infrastructure support emerging AI use cases across clinical, financial, and operational domains.
Governance, Data Quality, and Security
• Implement enterprise data quality frameworks including validation rules, monitoring, and issue resolution processes.
• Strengthen master and reference data management across provider, member, and enterprise domains.
• Ensure compliance with HIPAA, security, privacy, and regulatory requirements.
• Support audit readiness and transparent, defensible data practices.
Leadership and Team Development
• Build and lead a high-performing team of data engineers, database administrators, integration developers, and platform engineers.
• Provide hands-on leadership while establishing clear standards for coding, testing, documentation, and deployment.
• Develop team capabilities in Databricks, AWS cloud engineering, Python-based development, and modern AI data architectures.
• Drive upskilling from legacy technologies (SAS, Business Objects, traditional RDBMS) to modern cloud-native and open-source frameworks.
• Encourage professional certifications including AWS, Databricks, Snowflake (as applicable), and AI/ML credentials.
• Foster a culture of accountability, continuous learning, and engineering excellence.
Additional Job Description:
Education
• Bachelor's degree required in Computer Science, Engineering, Information Systems, Data Science, or related quantitative discipline.
• Master's degree preferred in a relevant technical or business field.
Experience
• 12+ years of progressive leadership experience in enterprise data engineering, database administration, or data platform architecture.
• Deep experience managing legacy enterprise data platforms including Oracle, DB2, SAS, Business Objects, Tableau, and Epic Caboodle.
• Proven experience leading cloud migration initiatives, preferably to AWS with Databricks or similar lakehouse platforms.
• Hands-on experience with modern data engineering frameworks including Python, SQL, Spark, and open-source ecosystems.
• Experience supporting AI/ML workloads, including familiarity with LLM architectures, RAG patterns, and MLOps practices.
• Demonstrated leadership managing technical teams including DBAs, developers, and data engineers.
Benefits
Benefits are effective day-one (for .45 FTE and above) and include:
About Us
Presbyterian Healthcare Services is a locally owned, not-for-profit healthcare system of nine hospitals, a statewide health plan and a growing multi-specialty medical group. Founded in New Mexico in 1908, it is the state's largest private employer with approximately 11,000 employees.
Presbyterian's story is really the story of the remarkable people who have chosen to work here. Starting with Reverend Cooper who began our journey in 1908, the hard work of thousands of physicians, employees, board members, and other volunteers brought Presbyterian from a tiny tuberculosis sanatorium to a statewide healthcare system, serving more than 700,000 New Mexicans.
We are part of New Mexico's history - and committed to its future. That is why we will continue to work just as hard and care just as deeply to serve New Mexico for years to come.
About New Mexico
New Mexico's unique blend of Spanish, Mexican and Native American influences contribute to a culturally rich lifestyle. Add in Albuquerque's International Balloon Fiesta, Los Alamos' nuclear scientists, Roswell's visitors from outer space, and Santa Fe's artists, and you get an eclectic mix of people, places and experiences that make this state great.
Cities in New Mexico are continually ranked among the nation's best places to work and live by Forbes magazine, Kiplinger's Personal Finance, and other corporate and government relocation managers like Worldwide ERC.
New Mexico offers endless recreational opportunities to explore, and enjoy an active lifestyle. Venture off the beaten path, challenge your body in the elements, or open yourself up to the expansive sky. From hiking, golfing and biking to skiing, snowboarding and boating, it's all available among our beautiful wonders of the west.
AA/EOE/VET/DISABLED. PHS is a drug-free and tobacco-free employer with smoke free campuses.
9521 San Mateo NEAlbuquerque, NM 87113-2237
Summary:
The Exec Director, Enterprise Data, Analytics and AI is a senior technical leader responsible for execution, stability, and modernization of Presbyterian's enterprise data and analytics platform across both payer and provider domains.
Reporting to the Vice President, Analytics and AI Ecosystem, this role oversees legacy data environments while leading the transition to a scalable, cloud-native architecture that supports advanced analytics and AI.
This leader is accountable for enterprise data warehouses, operational data stores, and integration frameworks, including platforms such as Epic Caboodle, DB2, Oracle, Business Objects, Tableau, and SAS. The Director leads the migration of these environments to AWS and Databricks-based lakehouse architecture, ensuring continuity of operations while advancing performance, scalability, and innovation.
Balancing operational excellence with transformation, this leader builds a modern data engineering organization that enables high-quality analytics, AI model development, and enterprise decision-making. Guided by Presbyterian's mission and values of excellence, stewardship, integrity, and compassion, this role delivers a reliable, governed, and future-ready data ecosystem.
Work Arrangement:
• Remote: Open to applicants in the United States, excluding CA, IL, ND, NY, OH, WA, and WY.
• Hybrid (Strongly Preferred): For individuals within 60 miles of Albuquerque, in-office presence is required Tuesday through Thursday.
Job Description:
Enterprise Data Platform Operations and Administration
• Oversee administration, performance, and reliability of enterprise data platforms including Epic Clarity, Caboodle, DB2, Oracle, Business Objects, Tableau, and SAS environments.
• Ensure stability and availability of operational data stores, enterprise data warehouses, and reporting platforms supporting clinical, financial, and operational analytics.
• Lead database administration, capacity planning, performance tuning, and lifecycle management across legacy and modern platforms.
• Maintain strong operational controls, backup and recovery processes, and system resiliency.
Cloud Migration and Platform Modernization
• Lead enterprise migration from legacy data warehouses and reporting platforms to AWS-based architecture leveraging Databricks and modern lakehouse design.
• Develop and execute phased migration strategies that minimize business disruption while accelerating modernization.
• Rationalize and retire redundant legacy systems, reducing technical debt and operating cost.
• Optimize data storage, compute, and processing frameworks for performance, scalability, and cost efficiency.
• Partner with Technology Services to align infrastructure, security, and cloud architecture standards.
Databricks and Modern Data Engineering
• Lead implementation and scaling of Databricks as the enterprise data platform for analytics and AI workloads.
• Establish best practices for data engineering using Spark, Delta Lake, and modern data pipeline frameworks.
• Develop reusable data models, curated data layers, and standardized engineering patterns.
• Enable both batch and real-time data processing to support operational and analytic use cases.
Data Integration and Pipeline Reliability
• Oversee all enterprise data ingestion and integration pipelines from source systems including Epic, claims platforms, revenue cycle systems, and ancillary applications.
• Ensure high availability, observability, and monitoring of data pipelines.
• Implement automated testing, data validation, and incident response processes.
• Maintain accurate data lineage, documentation, and change management practices.
AI and Advanced Analytics Enablement
• Build data architectures that support AI/ML model development, deployment, and monitoring.
• Enable support for large language models (LLMs), retrieval-augmented generation (RAG), vector databases, and unstructured data processing.
• Partner with analytics and data science teams to operationalize models and scale AI solutions.
• Ensure data pipelines and infrastructure support emerging AI use cases across clinical, financial, and operational domains.
Governance, Data Quality, and Security
• Implement enterprise data quality frameworks including validation rules, monitoring, and issue resolution processes.
• Strengthen master and reference data management across provider, member, and enterprise domains.
• Ensure compliance with HIPAA, security, privacy, and regulatory requirements.
• Support audit readiness and transparent, defensible data practices.
Leadership and Team Development
• Build and lead a high-performing team of data engineers, database administrators, integration developers, and platform engineers.
• Provide hands-on leadership while establishing clear standards for coding, testing, documentation, and deployment.
• Develop team capabilities in Databricks, AWS cloud engineering, Python-based development, and modern AI data architectures.
• Drive upskilling from legacy technologies (SAS, Business Objects, traditional RDBMS) to modern cloud-native and open-source frameworks.
• Encourage professional certifications including AWS, Databricks, Snowflake (as applicable), and AI/ML credentials.
• Foster a culture of accountability, continuous learning, and engineering excellence.
Additional Job Description:
Education
• Bachelor's degree required in Computer Science, Engineering, Information Systems, Data Science, or related quantitative discipline.
• Master's degree preferred in a relevant technical or business field.
Experience
• 12+ years of progressive leadership experience in enterprise data engineering, database administration, or data platform architecture.
• Deep experience managing legacy enterprise data platforms including Oracle, DB2, SAS, Business Objects, Tableau, and Epic Caboodle.
• Proven experience leading cloud migration initiatives, preferably to AWS with Databricks or similar lakehouse platforms.
• Hands-on experience with modern data engineering frameworks including Python, SQL, Spark, and open-source ecosystems.
• Experience supporting AI/ML workloads, including familiarity with LLM architectures, RAG patterns, and MLOps practices.
• Demonstrated leadership managing technical teams including DBAs, developers, and data engineers.
Benefits
Benefits are effective day-one (for .45 FTE and above) and include:
- Competitive salaries
- Full medical, dental and vision insurance
- Flexible spending accounts (FSAs)
- Free wellness programs
- Paid time off (PTO)
- Retirement plans, including matching employer contributions
- Continuing education and career development opportunities
- Life insurance and short/long term disability programs
About Us
Presbyterian Healthcare Services is a locally owned, not-for-profit healthcare system of nine hospitals, a statewide health plan and a growing multi-specialty medical group. Founded in New Mexico in 1908, it is the state's largest private employer with approximately 11,000 employees.
Presbyterian's story is really the story of the remarkable people who have chosen to work here. Starting with Reverend Cooper who began our journey in 1908, the hard work of thousands of physicians, employees, board members, and other volunteers brought Presbyterian from a tiny tuberculosis sanatorium to a statewide healthcare system, serving more than 700,000 New Mexicans.
We are part of New Mexico's history - and committed to its future. That is why we will continue to work just as hard and care just as deeply to serve New Mexico for years to come.
About New Mexico
New Mexico's unique blend of Spanish, Mexican and Native American influences contribute to a culturally rich lifestyle. Add in Albuquerque's International Balloon Fiesta, Los Alamos' nuclear scientists, Roswell's visitors from outer space, and Santa Fe's artists, and you get an eclectic mix of people, places and experiences that make this state great.
Cities in New Mexico are continually ranked among the nation's best places to work and live by Forbes magazine, Kiplinger's Personal Finance, and other corporate and government relocation managers like Worldwide ERC.
New Mexico offers endless recreational opportunities to explore, and enjoy an active lifestyle. Venture off the beaten path, challenge your body in the elements, or open yourself up to the expansive sky. From hiking, golfing and biking to skiing, snowboarding and boating, it's all available among our beautiful wonders of the west.
AA/EOE/VET/DISABLED. PHS is a drug-free and tobacco-free employer with smoke free campuses.
What Presbyterian Healthcare Services employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Presbyterian Healthcare Services
Sourced by ZipRecruiter
Presbyterian Healthcare Services exists to improve the health of patients, members and the communities we serve. We are a locally owned, not-for-profit healthcare system of nine hospitals, a statewide health plan and a growing multi-specialty medical group. Founded in New Mexico in 1908, we are the state's largest private employer with nearly 14,000 employees - including more than 1,600 providers and nearly 4,700 nurses.
Industry
Hospitals
Company size
10,000+ Employees
Headquarters location
Albuquerque, NM, US
Year founded
1908