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Remote Sas Programmer Jobs in Rochester, MN (NOW HIRING)

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Remote Sas Programmer information

See Rochester, MN salary details

$14

$49

$80

How much do remote sas programmer jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for remote sas programmer in Rochester, MN is $49.81, according to ZipRecruiter salary data. Most workers in this role earn between $34.95 and $62.55 per hour, depending on experience, location, and employer.

Can you work remotely as a SAS programmer?

Yes, SAS programmers can often work remotely, especially as many organizations adopt flexible work arrangements. Remote SAS programming roles typically require strong skills in SAS software, data analysis, and communication tools like email and video conferencing. Availability of remote work depends on the employer and specific job requirements.

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. The demand is expected to remain stable as data-driven decision-making continues to grow.

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.

Does remote SAS programmer have remote jobs?

Remote SAS programmers can find remote job opportunities, as many companies hire for this role to analyze data and generate reports remotely. These positions often require proficiency in SAS software, data management skills, and sometimes certifications, with flexible schedules being common in remote work environments.

What is the difference between Remote Sas Programmer vs Remote Data Analyst?

AspectRemote Sas ProgrammerRemote Data Analyst
Required credentialsTypically requires SAS certification, degree in computer science, statistics, or related fieldOften requires a degree in statistics, mathematics, or related field; certifications like CAP or Microsoft certifications are common
Work environmentPrimarily focused on coding, data manipulation, and statistical analysis using SAS softwareInvolves data collection, cleaning, analysis, and reporting, often using various tools including Excel, SQL, and visualization software
Employer and industry usageUsed mainly in healthcare, pharmaceuticals, and clinical research industriesWidely 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.

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 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.
More about Remote Sas Programmer jobs
What are popular job titles related to Remote Sas Programmer jobs in Rochester, MN? For Remote Sas Programmer jobs in Rochester, MN, the most frequently searched job titles are:
What cities near Rochester, MN are hiring for Remote Sas Programmer jobs? Cities near Rochester, MN with the most Remote Sas Programmer job openings:
Remote Sas Programmer jobs near you
Infographic showing various Remote Sas Programmer job openings in Rochester, MN as of July 2026, with employment types broken down into 3% Locum Tenens, 81% Full Time, 8% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $103,610 per year, or $49.8 per hour.

Principal Data Engineer - Enterprise Data & Analytics - Remote

Mayo Clinic

Rochester, MN • On-site, Remote

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 693 frontline employees who took The Breakroom Quiz

132nd of 887 rated healthcare providers

Job description


The Principal Data Engineer serves as a hands-on technical authority responsible for defining and implementing enterprise-scale data architecture and engineering strategies while actively contributing to solution design, development, optimization, and technical delivery. As part of an assigned product team, this role develops and deploys data pipelines, integrations, and transformations to support analytics and machine learning applications using open-source programming languages and vendor software. The position requires a strong understanding of the organization's current solutions, coding languages, tools, and Enterprise Data and Analytics technology framework, as well as the ability to apply independent judgment, provide consultative services to departments, divisions, and leadership committees, and partner with product owners and Analytics and Machine Learning delivery teams to identify and retrieve data, conduct exploratory analysis, transform data, visualize trends, build and validate analytical models, and translate qualitative and quantitative assessments into actionable insights.
Key responsibilities:
These positions are hands-on engineering roles. In this role, employees are expected to actively design, develop, review, and optimize production code and platform capabilities while providing technical leadership and mentorship to engineering teams.
Qualifications
A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of seven years of professional or research experience in data visualization, data engineering, analytical modeling techniques; OR an Associate's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of nine years of professional or research experience in data visualization, data engineering, analytical modeling techniques. In-depth business or practice knowledge will also be considered.
Incumbent must have the ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills, time management skills, and demonstrated experience working on cross functional teams are required. Requires strong analytical skills and the ability to identify and recommend solutions and a commitment to customer service. The position requires excellent verbal and written communication skills, attention to detail, and a high capacity for learning and problem resolution. Advanced experience in SQL is required. Advanced Experience in scripting languages such as Python, JavaScript, PHP, C++ or Java & API integration is required. Experience in hybrid data processing methods (batch and streaming) such as Apache Spark, Hive, Pig, Kafka is required. Experience with big data, statistics, and machine learning is required. The ability to navigate linux and windows operating systems is required. Knowledge of workflow scheduling (Apache Airflow Google Composer), Infrastructure as code (Kubernetes, Docker) CI/CD (Jenkins, Github Actions) is required. Experience in DataOps/DevOps and agile methodologies is required. Experience with hybrid data virtualization such as Denodo is preferred. Working knowledge of Tableau, Power BI, SAS, ThoughtSpot, DASH, d3, React, Snowflake, SSIS, and Google Big Query is preferred.
The preferred candidate will possess:
  • Expert-level proficiency in Python and SQL with extensive experience developing enterprise-scale production systems.
  • Advanced expertise in scalable distributed computing frameworks and modern data processing platforms.
  • Advanced experience implementing and governing open data architectures utilizing Apache Iceberg, Delta Lake, Apache Hudi, and related technologies.
  • Deep understanding of modern analytical storage formats including Parquet, Avro, and ORC.
  • Demonstrated expertise in lakehouse architecture, data platform design, and large-scale data engineering practices.
  • Experience architecting and implementing cloud-agnostic solutions across multiple technology ecosystems.
  • Experience designing highly scalable, fault-tolerant, secure, and observable data platforms supporting analytics, AI, machine learning, and operational workloads.
  • Experience establishing enterprise engineering standards, architecture patterns, and modernization strategies.

About Us
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

About the Team
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

What Mayo Clinic employees say

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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