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Senior Sas Developer Jobs in Minnesota (NOW HIRING)

1 point system

Sr. AWS Infrastructure Engineer

Minneapolis, MN · On-site

$113K - $154K/yr

... and SAS Viya -- currently supporting 25+ active prototypes, growing to 60+ by end of 2026. • Build and maintain CI/CD pipelines using Azure DevOps for deploying data science environments and ...

Sovereign Technologies

Senior Data Engineer

Eagan, MN · On-site

$108K - $146K/yr

... SAS to Python/PySpark on Databricks. o This Data Engineer will own and evolve our critical HEDIS data pipeline. § HEDIS data is delivered to our analytics vendor and used to measure BCBS ...

Coloplast

Senior Biostatistician

Minneapolis, MN · On-site

The role supports engineering and scientific teams in the application of sound statistical ... Experience with statistical software such as SAS, R, JMP, Minitab or equivalent * Knowledge of ...

Ra

Marketing Analytics Manager

Minneapolis, MN

Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the ... Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this ...

University of Minnesota

Senior Data Analyst

Minneapolis, MN · On-site +1

$29.90 - $36.60/hr

... supplemental programming, run and check recoded data, update metadata control files, and ... Experience with statistical packages (R, SPSS, Stata, or SAS) * Experience with technical writing ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Partner with data engineers, product partners and business leaders to identify meaningful ... SQL, SAS and ETC). * Ability to prioritize and execute on multiple tasks as well as adjust to ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Partner with data engineers, product partners and business leaders to identify meaningful ... SQL, SAS and ETC). * Ability to prioritize and execute on multiple tasks as well as adjust to ...

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Senior Sas Developer information

See Minnesota salary details

$42

$64

$82

How much do senior sas developer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for senior sas developer in Minnesota is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $51.35 and $72.98 per hour, depending on experience, location, and employer.

What are some common challenges faced by Senior SAS Developers when working on large-scale data projects?

Senior SAS Developers often encounter challenges such as managing complex data integration tasks, optimizing code for performance with large data sets, and ensuring data quality and security. Collaborating with cross-functional teams—like data analysts, business stakeholders, and IT staff—requires strong communication skills to translate business requirements into efficient SAS solutions. Additionally, staying updated with new SAS features and regulatory compliance standards can be crucial for delivering successful outcomes.

What is the difference between Senior Sas Developer vs Data Analyst?

AspectSenior Sas DeveloperData Analyst
Required CredentialsBachelor's in Computer Science or related field, SAS certificationsBachelor's in Statistics, Data Science, or related field, often with SAS or SQL certifications
Work EnvironmentDevelops and maintains SAS programs, works in IT or analytics teamsAnalyzes data, creates reports, collaborates with business units
Industry UsageFinance, healthcare, pharmaceuticals, and tech companiesRetail, marketing, finance, healthcare, and consulting firms

While both roles involve working with data and SAS tools, a Senior SAS Developer primarily focuses on developing and maintaining SAS applications and programs, often within IT teams. In contrast, a Data Analyst interprets data, creates reports, and provides insights to support business decisions. The roles overlap in data handling and SAS knowledge but differ in scope and primary responsibilities.

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

To thrive as a Senior SAS Developer, you need advanced proficiency in SAS programming, data analysis, and statistical modeling, often supported by a degree in computer science, statistics, or a related field. Expertise in SAS Base, SAS Macro, SQL, and familiarity with data management tools and platforms like Teradata or Oracle are typically required, along with relevant certifications such as SAS Certified Advanced Programmer. Strong problem-solving, communication, and leadership skills help you effectively manage projects and collaborate with cross-functional teams. These skills ensure accurate data solutions, efficient process automation, and successful project delivery in complex data environments.

What are Senior SAS Developers?

Senior SAS Developers are experienced professionals who specialize in using SAS (Statistical Analysis System) software to analyze complex data, develop statistical models, and create automated data processing solutions. They often design, program, test, and implement data-driven applications while ensuring data quality and integrity. These roles typically involve collaborating with business stakeholders, mentoring junior developers, and optimizing existing SAS programs for performance and efficiency.
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Senior Sas Developer jobs near you
Infographic showing various Senior Sas Developer job openings in Minnesota as of July 2026, with employment types broken down into 84% Full Time, 5% Part Time, 1% Temporary, and 10% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $133,395 per year, or $64.1 per hour.
Sr. AWS Infrastructure Engineer

Sr. AWS Infrastructure Engineer

1 point system

Minneapolis, MN • On-site

$113K - $154K/yr

Contractor

Posted 10 days ago

Job description

Onsite Interview

  • Must have: AWS, Kubernetes, Lambdas, EC2, CI/CD experience, Terraform, Athena, Glue

What we need:

•      An engineer who has spent the majority of their career building, operating, and maintaining cloud infrastructure on AWS — not just using cloud services for data processing.

•      Hands-on Kubernetes administration: deploying clusters, managing nodes, networking (ingress, CNI), RBAC, persistent storage, and troubleshooting production issues.

•      Experience with infrastructure-as-code - primarily Terraform - to provision and manage AWS resources programmatically

•      CI/CD pipeline ownership: building and maintaining pipelines using Azure DevOps or equivalent tools

•      Security-first mindset: IAM policies, security groups, VPCs, audit logging, vulnerability remediation within SLAs

•      Ability to support Data Science and AI/ML platform infrastructure (e.g., Shakudo on EKS, SAS Viya on Kubernetes) not build the models, but run the platform they sit on.

•      Experience with AWS services: EKS, ECR, SageMaker (infra layer), Lambda, Athena, Glue - specifically managing and operating them, not just calling APIs from notebooks

•      Database infrastructure support: Athena, Oracle, MySQL, Postgres — connection management, performance, security, not DBA-level tuning.

What will this platform engineers do in my team:

This is a Platform Engineering role embedded in the Data Science division. The team runs critical data and AI/ML infrastructure on AWS, including Shakudo (a data science platform), SAS Viya - all running on Kubernetes (EKS). The engineer's job is to keep that infrastructure running, secure, scalable, and automated.

Day-to-Day Responsibilities Include:

•      Manage and operate AWS EKS clusters that host Shakudo and SAS Viya — currently supporting 25+ active prototypes, growing to 60+ by end of 2026.

•      Build and maintain CI/CD pipelines using Azure DevOps for deploying data science environments and platform updates

•      Provision and manage AWS infrastructure using Terraform - VPCs, EKS node groups, IAM roles, ECR, RDS instances.

•      Manage container image lifecycle via Amazon ECR - building, versioning, scanning for vulnerabilities.

•      Set up and maintain AWS accounts for the Data Science platform, including IAM, cost controls, and security guardrails.

•      Respond to infrastructure incidents within SLA - on-call rotation, root cause analysis, post-mortems.

•      Perform Kubernetes cluster upgrades, node patching, and security remediation.

•      Support Data Scientists by unblocking infrastructure issues - not writing their code, but ensuring their compute and storage works.

•      Conduct knowledge transfer sessions within the platform team - documentation, runbooks, workshops

•      Collaborate with Network, Database, Architecture, and Security teams.