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minimum data set Salary in nationwide

Based on 296 active job postings in nationwide  ·  Updated 2026

ℹ️ Salary ranges are not available for all listings. Browse the 296 open positions below to explore compensation details directly.

✨ AI Compensation Insight SALARY INSIGHTS

Generating real-time market insights and estimated salary range for minimum data set in nationwide...

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Open minimum data set Jobs in nationwide 296

RN, Minimum Data Set (MDS) - FT Days
Good Samaritan Tea, South Dakota
Full Time
RN, Minimum Data Set (MDS) - FT Days
Good Samaritan Steen, Minnesota
Full Time
RN, Minimum Data Set (MDS) - FT Days
Good Samaritan Walnut Grove, Minnesota
Full Time
RN, Minimum Data Set (MDS) - FT Days
Good Samaritan Sioux Falls, South Dakota
Full Time
RN, Minimum Data Set (MDS) - FT Days
Good Samaritan Sioux Falls, South Dakota
Full Time
RN, Minimum Data Set (MDS) - FT Days
Good Samaritan Sioux Falls, South Dakota
Full Time
RN, Minimum Data Set (MDS) - FT Days
Good Samaritan Ihlen, Minnesota
Full Time
RN, Minimum Data Set (MDS) - FT Days
Good Samaritan Egan, South Dakota
Full Time
RN, Minimum Data Set (MDS) - FT Days
Good Samaritan White, South Dakota
Full Time
RN, Minimum Data Set (MDS) - FT Days
Good Samaritan Sioux Falls, South Dakota
Full Time
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minimum data set Salary FAQ

What is the average minimum data set salary in nationwide?
Compensation for minimum data set positions in nationwide varies by employer, experience level, and specific skill set. Browse the job listings above for detailed pay information.
How do I negotiate my minimum data set salary?
Research comparable roles in your area, document your accomplishments, and arrive at negotiations with data. Use total compensation (base + bonus + equity + benefits) as your benchmark, not just base pay.
What factors affect minimum data set compensation in nationwide?
Key factors include years of experience, technical certifications, company size (startup vs. enterprise), industry (tech vs. finance vs. healthcare), and whether the role is remote-first or on-site in a high cost-of-living metro.