Senior Software Engineer at Vizient
Edina, MN
$102,400–$179,000from the description
Jun 28, 2026
Edina, MN
Jul 21, 2026
What this job asks for AI summary
A backend and cloud engineering role focused on building and maintaining the infrastructure, data pipelines, and platform services that underpin AI/ML and healthcare analytics products. Day-to-day work spans designing APIs and distributed systems, managing cloud infrastructure via code, and deploying machine learning models and LLM-based applications into production. Suits an experienced engineer with a strong data engineering background and familiarity with AI/ML systems.
Senior level · 5+ years · National · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $135,980 (middle half $105,210–$171,980). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (10)
No work location or metro area is specified in the posting; CBSA fields are left blank. The role may be remote or hybrid — the posting does not clarify.
The degree requirement is stated as 'preferred', not required, so it is treated as optional.
Python/Java development is listed under a 'highly preferred' qualifier in the qualifications section, not as a hard gate, so it is marked preferred despite being a core capability described in the responsibilities.
Data pipelines/ETL/ELT experience is explicitly called 'required' in the qualifications and is the clearest hard gate alongside cloud/IaC experience.
Cloud platform (AWS/Azure/GCP) and IaC tools (Pulumi or Terraform) are explicitly stated as required; the 'or similar' qualifier means the specific platform is interchangeable — alternatives are populated accordingly.
LLM, RAG, agentic AI, and model-serving experience are listed as 'highly preferred', not required.
Containerization, Kubernetes, and CI/CD are listed under a plain 'preferred' qualifier.
Databricks, Snowflake, Azure AI Foundry, and observability/monitoring tools are listed under a 'preferred' qualifier.
The internal career level is 'Professional – Senior Associate (P3)', consistent with a Senior individual-contributor band.
The role spans backend software development AND data engineering/platform work; 15-1243 (Database Architects) is noted as a plausible alternative given the emphasis on data platforms and pipelines, but the broader software delivery scope tips the primary classification to 15-1252.
Read the full posting
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