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Preply — Data Engineer / Scientist jobs

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Data Engineers and Data Scientists build the pipelines, platforms, and models that turn raw data into decisions — and as AI moves to production, that work sits at the center of every serious tech company. This board aggregates open data engineering and data science roles daily from public ATS feeds, linked to the original posting.

📊 Hiring Index August 2026 What is a Data Engineer / Scientist? Salary data

Data Engineer / Scientist — FAQ

What is a Data Engineer?
A Data Engineer designs and builds pipelines that collect, store, and transform data at scale — enabling analytics, ML, and business intelligence. Common tools include Spark, dbt, Airflow, Kafka, and cloud data warehouses.
Data Engineer vs. Data Scientist?
Data Engineers build the infrastructure and pipelines that deliver clean data; Data Scientists use that data to build models, run experiments, and generate insights. Modern teams need both.
How much do Data Engineers earn?
US mid-to-senior data engineering roles typically land around $140k–$220k+ total comp. Data scientists at the same level often overlap. Check each posting for its stated range.