St. Paul, MN

Salary
$109,300–$180,200from the description
Posted
Jul 27, 2026
Location
St. Paul, MN
Last confirmed open
Jul 29, 2026

What this job asks for AI summary

A data engineering role at a large property-casualty insurer, focused on designing, building, and operationalizing data pipelines that support AI, machine learning, and business intelligence across the enterprise. The work involves data transformation, quality, governance, and API integration, with a stack centered on Python, SQL, AWS, and Databricks. Suited to engineers comfortable bridging data infrastructure and applied AI/ML workloads.

Mid level · 2+ years · Unspecified (Nationwide) · Full-time

Must have (4)
PythonSQLAWSDatabricks
Nice to have (4)
TerraformOpenAIAWS BedrockREST APIs

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

What won't set you apart
SQL90%Python55%Databricks42%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $142,568 (middle half $111,775–$173,013). 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 29, 2026. It is a model, not a headcount.

Why we read it this way (5)

The hard minimum experience requirement is stated as a Bachelor's degree plus '2 additional years of software/data engineering experience' in the 'What is a Must Have?' section. The '6 years of related experience' appears only under the 'Ideal Candidate' section, making it preferred rather than a hard gate; the overall years minimum is set to 2 accordingly.

The degree requirement is listed as 'Bachelor's degree… or its equivalent in education and/or work experience,' so no formal degree is strictly required.

Python, SQL, AWS, and Databricks appear together in the 'Ideal Candidate' section under a 'Technical Proficiency' bullet with firm language ('Showcase your skills in…'); they are treated as hard gates given the context of the must-have technical proficiency requirement.

Terraform, OpenAI, AWS Bedrock, and API design appear in the 'Ideal Candidate' section with softer framing ('Bring your…', 'Utilize your experience with…', 'Contribute to…') and are treated as preferred.

The role sits at the boundary between data/pipeline engineering (15-1243) and software development (15-1252); the AI/ML application development emphasis adds meaningful software-engineering weight, hence the alternate SOC.

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