Data engineers design and maintain the data infrastructure that enables analytics and machine learning. They build ETL pipelines, data warehouses, and real-time streaming systems.
Based on U.S. market data. Actual compensation depends on experience, location, and company.
Include these keywords in your Data Engineer resume to pass Applicant Tracking Systems.
Focus on data volume and pipeline complexity — "processed 5TB daily across 200+ source tables."
Mention specific tools: Spark, Airflow, dbt, Snowflake, Kafka.
Highlight data quality and governance initiatives.
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