Data Engineer
ELEVATE AVIATION GROUP LLC · Plano, TX
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Jul 9, 2026
Plano, TX
Jul 21, 2026
What this job asks for AI summary
A data engineering role focused on designing, building, and maintaining the data infrastructure behind an aviation technology platform. Day-to-day work covers building and monitoring ETL/ELT pipelines, architecting data warehouses or data lakes, optimizing database performance, and enforcing data governance standards. Suits an experienced data engineer comfortable working across SQL, Python or similar languages, and cloud platforms, who is ready to take end-to-end ownership of data systems.
Mid level · 4+ years · Dallas-Fort Worth-Arlington, TX · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
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 110 people in the Dallas-Fort Worth-Arlington, TX area plausibly meet what this posting asks for (database architects). range 45–190
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $158,173 (middle half $132,644–$169,109).
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)
The role sits between data/pipeline architecture (15-1243) and general software development (15-1252); the emphasis on designing data warehouses, data lakes, ETL/ELT pipelines, and data architecture tips it toward 15-1243, but the hands-on pipeline coding in Python/Java/Scala is a meaningful secondary signal.
The JD requires 'at least four years' of experience in data engineering or a related area, and separately requires a bachelor's degree — both are hard gates with no 'or equivalent experience' language.
Cloud platform experience is listed as 'AWS, Google Cloud, and/or Azure' — treated as a single hard-gated capability with AWS as the primary name and the others as alternatives.
Python, Java, and Scala are presented as interchangeable options ('such as Python, Java, or Scala'); Python is listed first and is the most common in data engineering contexts.
Relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, Cassandra) are each presented as interchangeable option sets; one skill is emitted per category with alternatives.
No compensation figures were provided in the posting.
The title carries no seniority level; four years of required experience and the scope of the role (owning data systems end-to-end on a small team) maps to Mid-level.
Read the full posting
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