Managed Services - Data Engineer (Databricks & Kafka) - Senior Associate at PwC
Minneapolis, MN
$77,000–$202,000from the description
Jul 27, 2026
Minneapolis, MN
Jul 29, 2026
What this job asks for AI summary
A Senior Associate role on PwC's Managed Data, Analytics & Insights team, responsible for designing and implementing data architecture solutions — including data warehouses, ETL/ELT pipelines, scalable data structures, and data governance frameworks — for external clients. The position also involves mentoring junior staff and managing client relationships across complex engagements. It suits an experienced data professional with broad exposure to analytics platforms and enterprise data ecosystem delivery.
Senior level · 10+ years · Remote · Bachelor's required · Full-time
Posted 8 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 $90,896 (middle half $69,863–$128,761). 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)
No work location is specified in the posting; the salary range spans a wide band ($77K–$202K) and the posting references multiple California fair-chance jurisdictions, suggesting the role may be open across multiple US offices or remote-eligible, but this is not confirmed.
The 10 years of experience and a Bachelor's degree are listed under 'What You Must Have' (hard gates). The preferred degree field (Computer and Information Science or IT) and all technical skills appear only under 'What Sets You Apart,' which is a secondary/preferred section — none of those skills are treated as hard gates.
The posting names no specific named technologies or platforms (e.g., no Snowflake, Databricks, Tableau, etc.), making precise skill extraction difficult. Only broad capability areas are mentioned.
SOC classification is uncertain: the role spans BI/analytics insights delivery (15-2031) and data architecture/pipeline building (15-1243). The consulting/insights framing edges it toward 15-2031, but the emphasis on data warehouse and pipeline design is a strong signal for 15-1243.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Data Governance.
Read the full posting
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