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Senior Sas Developer Jobs in Minnesota (NOW HIRING)

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Sr. AWS Infrastructure Engineer

Minneapolis, MN · On-site

$113K - $154K/yr

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 DevOp ...

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 ...

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

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$42

$64

$82

How much do senior sas developer jobs pay per hour?

As of Aug 20, 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 is a Senior SAS developer?

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.

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 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 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.

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Senior Sas Developer jobs near you
Infographic showing various Senior Sas Developer job openings in Minnesota as of August 2026, with employment types broken down into 79% Full Time, 5% Part Time, and 16% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $133,395 per year, or $64.1 per hour.

Lead Databricks Engineer with Python (Need Only local to MN)

Sovereign Technologies

Eagan, MN • On-site

Other

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

Job description

Title: Senior / Lead Data Engineer

Location: Eagan, MN (Hybrid – 2 days/week onsite)
Duration: 3–6 Months Contract-to-Hire
Start Date: ASAP

Job Summary

We are seeking a Senior/Lead Data Engineer to modernize and own enterprise data pipelines by migrating legacy SAS-based workflows to Python/PySpark on Databricks. The engineer will partner with SMEs during the transition period and eventually take ownership of a critical healthcare analytics pipeline supporting HEDIS reporting.

Key Responsibilities
  • Migrate legacy SAS pipelines to Python/PySpark on Databricks.
  • Design, build, and maintain scalable ETL/ELT pipelines.
  • Develop distributed data processing solutions using Databricks.
  • Create and optimize complex SQL queries.
  • Schedule, automate, and monitor data pipelines.
  • Work with AWS services including S3, Lambda, Glue, and EC2.
  • Manage Databricks notebooks, workflows, and clusters.
  • Collaborate with business stakeholders and SMEs to transition pipeline ownership.
  • Follow Agile methodologies and Git-based development practices.
Required Skills
  • 8+ years of Data Engineering experience.
  • Strong Python programming and scripting skills.
  • Hands-on PySpark development.
  • Extensive Databricks experience (Notebooks, Workflows, Cluster Management).
  • Experience processing large datasets in distributed environments.
  • Strong SQL skills.
  • AWS experience with:
    • S3
    • Glue
    • Lambda
    • EC2
  • Experience building and automating ETL/ELT pipelines.
  • Git/version control experience.
  • Agile/Scrum experience.
Preferred Skills
  • Experience with SAS-to-Python migration.
  • AI/Automation experience.
  • Healthcare or HEDIS domain experience.
  • Lead/Principal Data Engineering experience.
Must-Have Skills
  • Python
  • PySpark
  • Databricks
  • SQL
  • AWS (S3, Glue, Lambda, EC2)
  • ETL/ELT Pipeline Development
  • Distributed Data Processing
  • Git
  • Agile/Scrum
Nice-to-Have Skills
  • SAS Modernization
  • AI/Generative AI
  • Healthcare/HEDIS
  • Airflow or other workflow orchestration tools
  • Leadership/Pipeline Ownership experience

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