Data Engineer II at Microsoft
Redmond, WA
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Jul 27, 2026
Redmond, WA
Jul 29, 2026
What this job asks for AI summary
This data engineering role is responsible for building and maintaining scalable data pipelines, ETL/ELT processes, and data models that feed analytics and reporting platforms. The position involves close collaboration with business stakeholders to translate requirements into technical solutions, while also owning data quality, monitoring, CI/CD, and live-site incident response. It suits an engineer with hands-on experience in SQL, Python, and distributed data processing frameworks.
Mid level · 2+ years
“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
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).
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 (6)
No work location is specified in the posting; CBSA and state fields are left blank. The role may be remote or on-site at an unstated location.
The degree requirement is effectively None: the posting accepts a Master's + 1 year, a Bachelor's + 2 years, OR equivalent experience, making no degree a hard gate.
Total years minimum is set to 2, reflecting the lowest explicitly stated experience threshold (Bachelor's + 2 years path).
PySpark, Spark, Scala, and Spark SQL are presented as interchangeable options ('one or more modern data engineering technologies such as…'); PySpark is listed as the primary with the others as alternatives. Spark is also separately listed as preferred given the 'such as' framing, but the overall capability is a hard gate.
The SOC classification is Medium confidence: the role's primary work is designing and building data pipelines and data models (15-1243 Database Architects), but the emphasis on software development practices (CI/CD, DevOps, distributed processing code) makes 15-1252 Software Developers a plausible alternative.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data quality management.
Read the full posting
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