Data Engineer (GCP, BigQuery) at Applied Systems, Inc.
UNAVAILABLE
$70,000–$120,000from the description
Jul 20, 2026
UNAVAILABLE
Jul 22, 2026
What this job asks for AI summary
A data engineering role focused on building and maintaining large-scale data solutions on Google Cloud Platform, primarily within BigQuery. Day-to-day work involves writing SQL procedures and functions, designing efficient data models and storage strategies, managing ETL pipelines, and collaborating with data scientists and architects to improve data accessibility and quality. Suited to engineers with hands-on BigQuery and cloud data warehousing experience and solid SQL and Python skills.
Mid level · 3+ years · Remote · Full-time
Posted 2 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
Roughly 1,250 people nationally plausibly meet what this posting asks for (database architects). range 760–1,900
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). 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 (4)
The role title is 'Data Engineer – GCP, BigQuery' but the day-to-day work centers on data modeling, BigQuery SQL procedures/functions, data lake architecture, partitioning/clustering strategies, and ETL pipeline design — placing it squarely in the data/pipeline-building space (15-1243 Database Architects) rather than pure database operations (15-1242). The runner-up is 15-1242 because a meaningful portion of the work involves managing and optimizing existing BigQuery infrastructure.
A Bachelor's degree in Computer Science, MIS, or CIS is listed in the requirements section but is explicitly qualified with 'or equivalent experience', so no formal degree is treated as a hard gate.
Agile/Scrum, Jira, and Confluence appear in the requirements section but are framed as 'ideally Scrum' and 'tools like Jira and Confluence', signaling preference rather than a strict gate — marked as preferred accordingly.
The 3+ years of experience requirement is stated at the role level ('3+ years of experience in modeling, building, and maintaining data solutions in cloud-based environments'), supporting a Mid-level classification despite the broad $70K–$120K salary range.
Read the full posting
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