An early-career data engineer builds, troubleshoots, and documents data pipelines and cloud-based data infrastructure, diagnosing failed pipelines and improving performance. Work is remote, project-based (about 2–3 weeks, 10–20 hrs/week), using tools like dbt, Kafka, Spark, Snowflake, or Redshift, paid per project in USD.
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