Rochester, MN

Salary
$141,024–$204,526from the description
Posted
Jul 21, 2026
Location
Rochester, MN
Last confirmed open
Jul 22, 2026

What this job asks for AI summary

A data engineering role embedded within a product team, focused on building and maintaining data pipelines, integrations, and transformations that support analytics and machine learning solutions. The work involves partnering with product owners and delivery teams to source, process, and model data, as well as contributing to exploratory analysis and visualization. Suited to experienced data engineers with strong SQL, Python or similar scripting, big data processing frameworks, and some exposure to machine learning workflows.

Senior level · 5+ years · Rochester, MN · Full-time

Must have (6)
SQLPython, JavaScript, Php, C++ or JavaApache Spark, Hive or PigKafkaLinuxREST APIs
Nice to have (15)
Apache Airflow or Google Cloud ComposerKubernetes or DockerJenkins or GitHub ActionsCI/CDDenodoTableauPower BISnowflakeGoogle BigQueryGCPReactSASSSISd3ThoughtSpot

“or” means any one of them counts — you don't need all of them.

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

Roughly 20 people in MN plausibly meet what this posting asks for (database architects). range 10–35

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What won't set you apart
SQL90%Python62%Linux45%

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

What the occupation pays Median $135,976 (middle half $112,787–$161,147). 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 (9)

The role sits at the intersection of data engineering (pipeline/ETL, Spark, Kafka, Airflow) and data science (ML modeling, analytics), making SOC classification genuinely ambiguous. The primary day-to-day emphasis on building and deploying data pipelines and transformations tips the classification toward 15-1243 (Database Architects), with 15-2051 (Data Scientists) as a close runner-up given the ML and analytical modeling responsibilities.

Degree requirement is marked None because the JD accepts an Associate's degree plus 7 years as an alternative to a Bachelor's plus 5 years — neither path hard-requires a Bachelor's.

Total years minimum is set to 5 (the lower bound of the two qualifying paths).

Python is listed as the primary scripting language with JavaScript, PHP, C++, and Java named as alternatives in the same 'or' clause; all are captured under one skill with alternatives.

Apache Airflow and Google Cloud Composer are listed together as workflow scheduling options and are captured as one skill with the other as an alternative.

Kubernetes and Docker are listed together under 'Infrastructure as code' in the Preferred section.

Jenkins and GitHub Actions are listed together under CI/CD in the Preferred section.

The role is hybrid (not fully remote), requiring the candidate to be within 100 miles of Rochester, MN for quarterly on-site visits.

Visa sponsorship is explicitly not available; F-1 STEM OPT is also excluded.

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