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Data engineering is a fast-growing specialization that bridges software engineering and data science. These entry-level positions focus on building ETL pipelines, writing SQL, and learning tools like Airflow and Spark. Many companies are willing to train engineers who have strong Python and SQL fundamentals.
We found 440 entry level data engineer jobs currently hiring.
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Free ATS Resume CheckerStrong SQL, Python, and basic understanding of ETL concepts. Familiarity with one cloud platform (AWS, GCP) and tools like Airflow or dbt is a bonus. Many companies train on specific tools.
Yes - data engineering has high demand, strong salaries, and clear growth paths. It's more accessible than data science (less math/stats required) while paying comparably.
Entry-level data engineer salaries range from $70k to $100k. Tech companies and financial institutions typically pay at the higher end.
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