Principal Data Engineer (GCP & Big Query)
Sparq Holdings, Inc.
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Jul 26, 2026
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Jul 28, 2026
What this job asks for AI summary
A senior-level data engineering role at a product engineering consultancy, responsible for owning end-to-end data pipelines across cloud and legacy environments. The work centers on architecting and operating production-scale solutions on Google Cloud Platform and BigQuery, integrating with legacy SQL Server and SSRS reporting systems, and building data quality and monitoring frameworks. The role suits an experienced data engineer comfortable bridging modern cloud architecture with enterprise legacy systems across multiple client engagements.
Senior level · Remote · Full-time
“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 220 people nationally plausibly meet what this posting asks for (database architects). range 95–330
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
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 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
SQL Server and SSRS are explicitly called out as active, current requirements — the posting specifically states 'This is an active requirement, not simply a technology associated with a previous role.'
Python is described as 'intermediate-level,' which is a softer gate than the advanced GCP/BigQuery and SQL requirements, but it appears in the core responsibilities section and is treated as required.
Power BI, Looker, and Tableau are presented as interchangeable visualization tools ('such as… or comparable platforms; Tableau experience is transferable'), so Power BI is listed as the primary with the others as alternatives.
Claude (via Anthropic partnership) is mentioned as a tool the company actively uses; it appears in the day-to-day responsibilities but is framed as a company-provided tool rather than a candidate prerequisite, so it is marked preferred.
No explicit years-of-experience requirement is stated anywhere in the posting.
The role is fully remote (tagged #LI-REMOTE) with no specific metro or state indicated.
The SOC classification is Medium confidence: the role blends data architecture/pipeline design (15-1243) with substantial software/pipeline engineering work (15-1252); the architectural ownership of data models, partitioning, and scale tips it toward 15-1243.
Read the full posting
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