Big Data Engineer to build long-horizon pipeline tasks, develop ETL/ELT pipelines, create Airflow/Dagster DAGs, design warehouse schemas, and ensure data quality and testing. Must-Have: BS or MS in CS, 3+ years in data engineering or analytics engineering, expertise in dbt model development, pipeline orchestration, warehouse design, and data quality and testing.
Requirements
- BS or MS in CS or related field.
- 3+ years in data engineering or analytics engineering.
- Expertise in dbt model development, pipeline orchestration (Airflow, Dagster, Prefect), warehouse design (Snowflake, BigQuery, Redshift, Databricks), and data quality and testing.
Benefits
- Hourly contractor with $90–$125/hour compensation
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