Data Engineer

Summary

The Data Engineer designs and operates batch and streaming data pipelines, data models, and warehouse services that transform high-volume operational data into reliable datasets for analytics, reporting, and product use cases. The role requires hands-on expertise in Python, SQL, Apache Spark, Kafka, Airflow/Dagster orchestration, and cloud data platforms (Snowflake, BigQuery, Redshift). Responsibilities include building scalable ELT/ETL pipelines, implementing data quality and observability practices, optimizing warehouse performance, and partnering with analysts and engineers to define metrics and data products. The position demands 3–8 years of professional experience, strong software engineering practices (version control, CI/CD, testing), and a deep understanding of data modeling, distributed processing, and cloud infrastructure.