Data Engineer
CodeRoad
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Jul 23, 2026
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Jul 24, 2026
What this job asks for AI summary
A remote data engineering role focused on designing and maintaining data pipeline architecture, building ETL processes from diverse sources using SQL and cloud platforms, and improving data infrastructure for scalability. The work spans big data tooling, stream and batch pipeline development, and creating data tools to support analytics teams. Suited to engineers with at least four years of hands-on data engineering experience and familiarity with Databricks, Python, and Apache Spark.
Mid level · 4+ years · Remote
“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 4,750 people nationally plausibly meet what this posting asks for (database architects). range 2,850–7,100
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
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 (5)
The role is based in Latin America (remote), so US compensation benchmarks will not apply directly. The posting advertises 'Competitive Pay (USD)' but gives no specific figures.
Azure and GCP are listed together as cloud technology options for ETL infrastructure; neither is explicitly required over the other, so they are captured as alternatives.
Apache Spark, Azure Data Factory, Azure Synapse, and BigQuery appear under a 'Familiarity with' framing ('Big Data Tools: Familiarity with…'), placing them as preferred rather than hard gates.
Scala is explicitly called 'a plus' in the posting.
The role title is a plain 'Data Engineer' with no seniority modifier; advertised seniority is Unspecified. The 4+ years requirement and scope (pipeline architecture, ETL, big data) support a Mid-level classification.
Read the full posting
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