Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América at Bluelight Consulting
South America
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Jul 22, 2026
South America
Jul 23, 2026
What this job asks for AI summary
A data engineering role centered on building and maintaining ETL/ELT pipelines using Snowflake, Python/PySpark, and Azure cloud services. Day-to-day work involves ingesting data from APIs, databases, and flat files; designing dimensional data models; optimizing Snowflake workloads; and enforcing data quality and governance standards. Suits an experienced data engineer comfortable with cloud-native architectures and CI/CD practices in a consulting context.
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 1,050 people nationally plausibly meet what this posting asks for (database architects). range 440–1,550
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 $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 (6)
The role is classified as 15-1243 (Database Architects) because its primary focus is designing and building Snowflake-based data platforms, dimensional models, and ETL/ELT pipelines — data architecture and pipeline engineering work. 15-1252 (Software Developers) is a credible runner-up given the heavy Python/PySpark coding emphasis.
No overall years-of-experience figure is stated; seniority is inferred as Senior from the scope of responsibilities (end-to-end platform design, governance, performance optimization, cross-functional collaboration) and the breadth of required expertise.
The degree requirement accepts 'equivalent professional experience' as a substitute for a Bachelor's degree, so no minimum degree is flagged as a hard gate.
Azure Data Lake Storage, Azure Data Factory, Azure Key Vault, Terraform, Power BI, and Tableau appear only in the 'Preferred Tech Stack Summary' or 'Preferred / Nice-to-Have' sections and are marked accordingly.
ETL/ELT pipelines and dimensional modeling are listed as skills here because the JD gates on them with concrete, named techniques (star schemas, fact/dimension tables, Snowpipe, streams, tasks, etc.) rather than as generic responsibilities.
No compensation figures are provided in the posting.
Read the full posting
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